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Sample records for multicriteria relocation analysis

  1. Decision analysis multicriteria analysis

    International Nuclear Information System (INIS)

    Lombard, J.

    1986-09-01

    The ALARA procedure covers a wide range of decisions from the simplest to the most complex one. For the simplest one the engineering judgement is generally enough and the use of a decision aiding technique is therefore not necessary. For some decisions the comparison of the available protection option may be performed from two or a few criteria (or attributes) (protection cost, collective dose,...) and the use of rather simple decision aiding techniques, like the Cost Effectiveness Analysis or the Cost Benefit Analysis, is quite enough. For the more complex decisions, involving numerous criteria or for decisions involving large uncertainties or qualitative judgement the use of these techniques, even the extended cost benefit analysis, is not recommended and appropriate techniques like multi-attribute decision aiding techniques are more relevant. There is a lot of such particular techniques and it is not possible to present all of them. Therefore only two broad categories of multi-attribute decision aiding techniques will be presented here: decision analysis and the outranking analysis

  2. Multicriteria analysis in public procurement

    Directory of Open Access Journals (Sweden)

    Dejan T. Tošev

    2012-07-01

    Full Text Available The public procurement is one of the most important processes in modern company daily business. The quality of that process and its realization affect the overall company success and reputation. For that purpose, the management is obliged to prepare and carry out the procurement process carefully. The process is based on multicriteria tendering and the purpose of this paper is to present the analytical and hierarchical procurement methods in order to minimize failing in the selection and decision making process.

  3. Multi-criteria decision analysis integrated with GIS for radio ...

    African Journals Online (AJOL)

    Multi-criteria decision analysis integrated with GIS for radio astronomical observatory site selection in peninsular of Malaysia. R Umar, Z.Z. Abidin, Z.A. Ibrahim, M.K.A. Kamarudin, S.N. Hazmin, A Endut, H Juahir ...

  4. Multicriteria analysis of public protection in PWR's

    International Nuclear Information System (INIS)

    Lombard, J.

    1986-09-01

    In order to manage a risk efficiently and to reach the ALARA level of protection, the best possible protection options must be employed. As the available resources are limited, it is not always possible to choose those options that minimize the risk, therefore a compromise must be made between risks and safety expenses. When the choice is difficult or complex, finding such a compromise can be facilitated by resorting to a decision aiding method which allows the assessment of the respective advantages of the various protection options considered. The multicriteria methods employ successive comparisons. Instead of searching for a final indicator expressing the performance of each option they compare all option pairs in order to determine if the gap between their respective advantages and disadvantages is sufficient to estimate that one option of the each pair is better than the other. Instead of judging each option globally these methods evaluate the advantages and disadvantages associated with the eventual choice of an option as compared with the others. These differential and comparative approach gives more flexibility and allows the introduction of qualitative criteria. The method presented here (Electre 3), one of the most recent ones, allows a multicriteria comparison of a set of options keeping into account the uncertainties associated with the options or the preferences. In order to illustrate this method a simple example (4 options, 4 criteria) dealing with a PWR liquid releases treatment system, is taken up

  5. Combined multi-criteria and cost-benefit analysis

    DEFF Research Database (Denmark)

    Moshøj, Claus Rehfeld

    1996-01-01

    The paper is an introduction to both theory and application of combined Cost-Benefit and Multi-Criteria Analysis. The first section is devoted to basic utility theory and its practical application in Cost-Benefit Analysis. Based on some of the problems encountered, arguments in favour...... of the application of utility-based Multi-Criteria Analyses methods as an extension and refinement of the traditional Cost-Benefit Analysis are provided. The theory presented in this paper is closely related the methods used in the WARP software (Leleur & Jensen, 1989). The presentation is however wider in scope.......The second section introduces the stated preference methodology used in WARP to create weight profiles for project pool sensitivity analysis. This section includes a simple example. The third section discusses how decision makers can get a priori aid to make their pair-wise comparisons based on project pool...

  6. WATERSHED SELECTION FOR ENVIRONMENTAL REHABILITATION USING MULTICRITERIA ANALYSIS

    Directory of Open Access Journals (Sweden)

    Carlos Eduardo da Silva Francisco

    2009-10-01

    Full Text Available The Anhumas creek watershed, in the region of Campinas, São Paulo State, Brazil, is degraded also as a result of unplanned land use of its riparian zones, considered Permanent Preservation Areas (APP. Therefore, river flow is unstable, promoting frequent flood damages, besides the lack of several environmental functions of its APPs. Environmental recovery of a degraded area requires a comprehensive effort, often multidisciplinary. Multicriterial analysis is a tool which allows gathering a diversity of attributes of the studied subject, weighing and valuating them, helping in the decision making effort. This work aims to apply two methods of multicriteria analysis to optimize the selection of a watershed for an environmental recovery study of APPs in the Anhumas watershed. The Anhumas watershed was divided in 7 sub-basins aiming the selection of one of those to implement an environmental planning study and to establish and rank areas that should be prioritized for recovery. Thirteen environmental criteria were selected for application of multicriteria analysis using the methods of Compromise Programming (PC and Cooperative Game Theory (CGT. Relevance of each criterion to the analysis was given by a questionnaire answered by specialists. Basin selection results showed no difference neither between PC and CGT nor between mean or mode used to standardize weights given by specialists. Multicriteria analysis was effective, but allowed enough flexibility for the decision maker (DM to adjust undesired analysis distortions. After DM adjustments, the priority basins were ranked as basins 4 > 7 > 5 > 6 > 2 > 3 > 1. Important procedures when carrying out such an analysis were to avoid conceptual overlapping among different criteria, to implement appropriate value judgment for each criterion and to use decision maker expertise to supplement weights obtained with specialists.

  7. Map-based multicriteria analysis to support interactive land use allocation

    NARCIS (Netherlands)

    Arciniegas Lopez, G.A.; Janssen, R.; Omtzigt, A.Q.A.

    2011-01-01

    This article focuses on the use of map-based multicriteria analysis to develop a negotiation support tool for land use allocation. Spatial multicriteria analysis is used to make explicit trade-offs between objectives and to provide guidance and feedback on the land use changes negotiated by the

  8. Multicriteria analysis of product operational effectiveness at design stages

    Science.gov (United States)

    Irzaev, G. Kh

    2018-03-01

    The multicriteria rapid assessment method of techno-economic parameters of new products is developed. It avoids expensive engineering changes during the operational stages through the analysis of external and internal factors at an early stage in the design that affect the maintainability and manufacturability of the product. The expert selection of the initial multitude of indicators from the five enlarged criteria groups and their subsequent pairwise comparison allow one to distinguish the complex compliance criteria of product design with the average and optimum values of the operational effectiveness. The values comparison provides an opportunity to decide on the continuation of the process for designing and preparation of the product manufacture.

  9. Multicriteria decision analysis: Overview and implications for environmental decision making

    Science.gov (United States)

    Hermans, Caroline M.; Erickson, Jon D.; Erickson, Jon D.; Messner, Frank; Ring, Irene

    2007-01-01

    Environmental decision making involving multiple stakeholders can benefit from the use of a formal process to structure stakeholder interactions, leading to more successful outcomes than traditional discursive decision processes. There are many tools available to handle complex decision making. Here we illustrate the use of a multicriteria decision analysis (MCDA) outranking tool (PROMETHEE) to facilitate decision making at the watershed scale, involving multiple stakeholders, multiple criteria, and multiple objectives. We compare various MCDA methods and their theoretical underpinnings, examining methods that most realistically model complex decision problems in ways that are understandable and transparent to stakeholders.

  10. A multi-criteria optimization analysis for Jordan's energy mix

    International Nuclear Information System (INIS)

    Malkawi, Salaheddin; Al-Nimr, Moh'd; Azizi, Danah

    2017-01-01

    In this study Jordan's energy options were evaluated and ranked with respect to several criteria clusters including financial, technical, environmental, ecological, social, and risk assessment. The Analytical Hierarchy Process; a multi-criteria decision-making analysis, was selected to evaluate the electricity generation options for Jordan. Energy options covered in the analysis include both conventional and renewable sources. Conventional sources evaluated include Oil and Natural Gas. Renewable sources covered wind, biomass, Photovoltaic and concentrated solar systems. The study also investigated generation from nuclear energy and direct combustion of oil shale as well as demand side savings from energy efficiency measures as a resource. Results indicate that to date; conventional fuels remain Jordan's most feasible options from a technical and financial perspective. Nonetheless diversification is essential to promoting energy security as well as environmental welfare. Results indicate that Jordan's best diversification options are nuclear, oil shale, biomass, and wind energy. - Highlights: • A Multi-Criteria Optimization Analysis technique was used to compare nine electricity generation options. • Options considered included Fossil Fuel sources, Nuclear Energy , Renewable Energy and Energy Efficiency. • Six criteria clusters were considered: financial, technical, environmental, ecological, social, and risk assessment. • Results outline potential policy implications for diversifying Jordan's energy mix. • Conventional fuels remain integral and Oil shale, Nuclear, Biomass and Wind offer the best diversification potential.Tag as highlight.

  11. Multicriteria analysis of thermal and energy systems for tourist facilities

    International Nuclear Information System (INIS)

    Raguzin, I.

    1999-01-01

    The introductory part of the paper briefly presents the technological, economic and environmental optimisation procedure of thermal and energy systems for tourist facilities with the multicriteria ranging method when choosing an optimum solution. The procedure described includes a systematic analysis of the system's structure, energy-mass balance, balance of costs, environmental impact analysis and the choice of an optimum solution. Special attention was paid to criteria quantification for the choice of solution and the most appropriate ranging method.The procedure's application has been illustrated on an example of a potential tourist facility on the Island of Loinj, i.e. the locality with a potential highest category tourist development. This example includes (a) consumers (heating of rooms, preparation of hot water, heating of swimming pool water and cooling of rooms), and (b) producers (boiler room, cooling engine-rooms, a cogeneration plant and heat pumps). The data have been supplied from the project documentation for the reconstruction of the existing facilities mainly preliminary designs. The multicriteria ranging was conducted based on an appropriate computer programme for problem solution. (author)

  12. Multicriteria analysis of ontologically represented information

    Science.gov (United States)

    Wasielewska, K.; Ganzha, M.; Paprzycki, M.; Bǎdicǎ, C.; Ivanovic, M.; Lirkov, I.

    2014-11-01

    Our current work concerns the development of a decision support system for the software selection problem. The main idea is to utilize expert knowledge to help the user in selecting the best software / method / computational resource to solve a computational problem. Obviously, this involves multicriterial decision making and the key open question is: which method to choose. The context of the work is provided by the Agents in Grid (AiG) project, where the software selection (and thus multicriterial analysis) is to be realized when all information concerning the problem, the hardware and the software is ontologically represented. Initially, we have considered the Analytical Hierarchy Process (AHP), which is well suited for the hierarchical data structures (e.g., such that have been formulated in terms of ontologies). However, due to its well-known shortcomings, we have decided to extend our search for the multicriterial analysis method best suited for the problem in question. In this paper we report results of our search, which involved: (i) TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), (ii) PROMETHEE, and (iii) GRIP (Generalized Regression with Intensities of Preference). We also briefly argue why other methods have not been considered as valuable candidates.

  13. Multi-criteria decision analysis: Limitations, pitfalls, and practical difficulties

    Energy Technology Data Exchange (ETDEWEB)

    Kujawski, Edouard

    2003-02-01

    The 2002 Winter Olympics women's figure skating competition is used as a case study to illustrate some of the limitations, pitfalls, and practical difficulties of Multi-Criteria Decision Analysis (MCDA). The paper compares several widely used models for synthesizing the multiple attributes into a single aggregate value. The various MCDA models can provide conflicting rankings of the alternatives for a common set of information even under states of certainty. Analysts involved in MCDA need to deal with the following challenging tasks: (1) selecting an appropriate analysis method, and (2) properly interpreting the results. An additional trap is the availability of software tools that implement specific MCDA models that can beguile the user with quantitative scores. These conclusions are independent of the decision domain and they should help foster better MCDA practices in many fields including systems engineering trade studies.

  14. Applying Multi-Criteria Analysis Methods for Fire Risk Assessment

    Directory of Open Access Journals (Sweden)

    Pushkina Julia

    2015-11-01

    Full Text Available The aim of this paper is to prove the application of multi-criteria analysis methods for optimisation of fire risk identification and assessment process. The object of this research is fire risk and risk assessment. The subject of the research is studying the application of analytic hierarchy process for modelling and influence assessment of various fire risk factors. Results of research conducted by the authors can be used by insurance companies to perform the detailed assessment of fire risks on the object and to calculate a risk extra charge to an insurance premium; by the state supervisory institutions to determine the compliance of a condition of object with requirements of regulations; by real state owners and investors to carry out actions for decrease in degree of fire risks and minimisation of possible losses.

  15. Using Multi-criteria Evaluation and GIS for Flood Risk Analysis in ...

    African Journals Online (AJOL)

    Using Multi-criteria Evaluation and GIS for Flood Risk Analysis in Informal ... Using a case study of an informal settlement in Cape Town, this study ... The shack outlines of the informal settlement were digitized using CTCC aerial imagery.

  16. Fuzzy Multicriteria Decision Analysis for Adaptive Watershed Management

    Science.gov (United States)

    Chang, N.

    2006-12-01

    The dramatic changes of societal complexity due to intensive interactions among agricultural, industrial, and municipal sectors have resulted in acute issues of water resources redistribution and water quality management in many river basins. Given the fact that integrated watershed management is more a political and societal than a technical challenge, there is a need for developing a compelling method leading to justify a water-based land use program in some critical regions. Adaptive watershed management is viewed as an indispensable tool nowadays for providing step-wise constructive decision support that is concerned with all related aspects of the water consumption cycle and those facilities affecting water quality and quantity temporally and spatially. Yet the greatest challenge that decision makers face today is to consider how to leverage ambiguity, paradox, and uncertainty to their competitive advantage of management policy quantitatively. This paper explores a fuzzy multicriteria evaluation method for water resources redistribution and subsequent water quality management with respect to a multipurpose channel-reservoir system--the Tseng- Wen River Basin, South Taiwan. Four fuzzy operators tailored for this fuzzy multicriteria decision analysis depict greater flexibility in representing the complexity of various possible trade-offs among management alternatives constrained by physical, economic, and technical factors essential for adaptive watershed management. The management strategies derived may enable decision makers to integrate a vast number of internal weirs, water intakes, reservoirs, drainage ditches, transfer pipelines, and wastewater treatment facilities within the basin and bring up the permitting issue for transboundary diversion from a neighboring river basin. Experience gained indicates that the use of different types of fuzzy operators is highly instructive, which also provide unique guidance collectively for achieving the overarching goals

  17. An approach to a constructive simplification of multiagent multicriteria decision making problems via intercriteria analysis

    International Nuclear Information System (INIS)

    Atanassov, Krassimir; Szmidt, Eulalia; Kacprzyk, Janusz; Atanassova, Vassia

    2017-01-01

    A new multiagent multicriteria decision making procedure is proposed that considerably extends the existing methods by making it possible to intelligently reduce the set of criteria to be accounted for. The method employs elements of the novel Intercriteria Analysis method. The use of new tools, notably the intuitionistic fuzzy pairs and intuitionistic fuzzy index matrices provides additional information about the problem, addressed in the decision making procedure. Key words: decision making, multiagent systems, multicriteria decision making, intercriteria analysis, intuitionistic fuzzy estimation

  18. Multicriteria analysis in selecting the optimal variant of solar system

    Directory of Open Access Journals (Sweden)

    Radziejowska Aleksandra

    2016-01-01

    Full Text Available Alternative energy sources are becoming more serious competition to traditional ways of generating energy. It becomes real integration of eco-energy with ecology, as well as the innovative technologies with low-energy construction. Apart from the cost an important issue are technical parameters of the equipment, durability, ease of installation, etc. The investor therefore is facing with the problem of decision-making to choose the best solution from the point of view of many criteria. In the article, the authors present the proposal to apply the methods of multi-criteria analysis to select the most beneficial variant of the solar system solutions. In this purpose will be use among other method: multivariate analysis of Saaty’s AHP, the taxonomic method of weighting factors and, belonging to a group of methods using outranking relations, the Promethee II method. Proposed comparative analysis can be used as a method for decision support during the selection of the most beneficial technological solution of solar installation and to evaluate operational efficiency existing buildings which will have implemented new systems.

  19. Integrating multicriteria evaluation and stakeholders analysis for assessing hydropower projects

    International Nuclear Information System (INIS)

    Rosso, M.; Bottero, M.; Pomarico, S.; La Ferlita, S.; Comino, E.

    2014-01-01

    The use of hydroelectric potential and the protection of the river ecosystem are two contrasting aspects that arise in the management of the same resource, generating conflicts between different stakeholders. The purpose of the paper is to develop a multi-level decision-making tool, able to support energy planning, with specific reference to the construction of hydropower plants in mountain areas. Starting from a real-world problem concerning the basin of the Sesia Valley (Italy), an evaluation framework based on the combined use of Multicriteria Evaluation and Stakeholders Analysis is proposed in the study. The results of the work show that the methodology is able to grant participated decisions through a multi-stakeholders traceable and transparent assessment process, to highlight the important elements of the decision problem and to support the definition of future design guidelines. - Highlights: • The paper concerns a multi-level decision-making tool able to support energy planning. • The evaluation framework is based on the use of AHP and Stakeholders Analysis. • Hydropower projects in the Sesia Valley (Italy) are evaluated and ranked in the study. • Environmental, economic, technical and sociopolitical criteria have been considered. • 42 stakeholder groups have been included in the evaluation

  20. MULTI-CRITERIA ANALYSIS APPLIED TO LANDSLIDE SUSCEPTIBILITY MAPPING

    Directory of Open Access Journals (Sweden)

    Mariana Madruga de Brito

    2017-10-01

    Full Text Available This paper presents the application of a multi-criteria analysis (MCA tool for landslide susceptibility assessment in Porto Alegre municipality, southern Brazil. A knowledge driven approach was used, aiming to ensure an optimal use of the available information. The landslide conditioning factors considered were slope, lithology, flow accumulation and distance from lineaments. Standardization of these factors was done through fuzzy membership functions, and evaluation of their relative importance for landslide predisposition was supported by the analytic hierarchy process (AHP, based on local expert knowledge. Finally, factors were integrated in a GIS environment using the weighted linear combination (WLC method. For validation, an inventory, including 107 landslide points recorded between 2007 and 2013 was used. Results indicated that 8.2% (39.40 km² of the study area are highly and very highly susceptible to landslides. An overall accuracy of 95% was found, with an area under the receiver operating characteristic (ROC curve of 0.960. Therefore, the resulting map can be regarded as useful for monitoring landslide-prone areas. Based on the findings, it is concluded that the proposed method is effective for susceptibility assessment since it yielded meaningful results and does not require extensive input data.

  1. Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis.

    Science.gov (United States)

    Hsiao, Ko-Jen; Xu, Kevin S; Calder, Jeff; Hero, Alfred O

    2016-06-01

    We consider the problem of identifying patterns in a data set that exhibits anomalous behavior, often referred to as anomaly detection. Similarity-based anomaly detection algorithms detect abnormally large amounts of similarity or dissimilarity, e.g., as measured by the nearest neighbor Euclidean distances between a test sample and the training samples. In many application domains, there may not exist a single dissimilarity measure that captures all possible anomalous patterns. In such cases, multiple dissimilarity measures can be defined, including nonmetric measures, and one can test for anomalies by scalarizing using a nonnegative linear combination of them. If the relative importance of the different dissimilarity measures are not known in advance, as in many anomaly detection applications, the anomaly detection algorithm may need to be executed multiple times with different choices of weights in the linear combination. In this paper, we propose a method for similarity-based anomaly detection using a novel multicriteria dissimilarity measure, the Pareto depth. The proposed Pareto depth analysis (PDA) anomaly detection algorithm uses the concept of Pareto optimality to detect anomalies under multiple criteria without having to run an algorithm multiple times with different choices of weights. The proposed PDA approach is provably better than using linear combinations of the criteria, and shows superior performance on experiments with synthetic and real data sets.

  2. Prioritization of sediment management alternatives using stochastic multicriteria acceptability analysis

    International Nuclear Information System (INIS)

    Alvarez-Guerra, Manuel; Canis, Laure; Voulvoulis, Nikolaos; Viguri, Javier R.; Linkov, Igor

    2010-01-01

    Decision-making for sediment management is a complex task that requires the consideration of temporal and spatial impacts of several remedial alternatives as well as the associated economic, social and political impact. Multicriteria decision analysis (MCDA) is becoming increasingly recognized as an important environmental management tool that can be used to support the selection of suitable remediation alternatives and prioritization of management units in space and time. This paper proposes an MCDA framework for prioritizing sediment management alternatives. This framework involves identifying of a set of feasible options, as well as defining and evaluating criteria which integrate relevant technical, economic, social and environmental aspects of remedies. The methodology allows an explicit consideration of uncertainty in criteria scores and weights by assigning probability distributions and analyzing subsequent Monte-Carlo simulations. The consideration of different stakeholder simulated values is used to assess the robustness of alternative rankings and to guide the selection of remediation options. An application of this methodology to a case study in the Bay of Santander, Spain, is presented. An assessment is conducted for the case of unknown preferences as well as for hypothetical preferences profiles for four types of stakeholders: Idealist, Politician, Environmentalist and Balanced. The results are used to visualize stakeholder positions and potential disagreements, allowing for the identification of a group of least preferred alternatives for each stakeholder. Stakeholder involvement has the potential to ease the remedy selection process during all stages of the decision-making process and to eventually remedy implementation.

  3. Applying multicriteria analysis for choosing the best marination for pork

    Directory of Open Access Journals (Sweden)

    Nieto VMOS

    2015-01-01

    Full Text Available Objective. This research aimed to choose a best marination solution using the Analytic Hierarchy Process (AHP. Materials and methods. Pork meat samples were collected in a commercial slaughterhouse, and they were randomly distributed in four treatments with three different salt contents blend. Color, pH, retention of the solution, exudate and cooking loss, shear force and sensory attributes were assessed and evaluated. Multicriteria analysis using AHP was applied to the results in order to choose the best overall marination solution. Criteria used for selection were the physical and sensory characteristics of meat, and based on these criteria were classified solutions marination. Results. Results showed that the combination of the salts was the best alternative (Na2CO3+NaCl+Na5P3O10, followed by the solutions of (Na2CO3 + NaCl, and (Na5P3O10 + NaCl. Conclusions. All tested solutions with the salts used alone or in combination led to better physical and sensory attributes than the meat not marinated.

  4. Use of multicriteria decision analysis to address conservation conflicts.

    Science.gov (United States)

    Davies, A L; Bryce, R; Redpath, S M

    2013-10-01

    Conservation conflicts are increasing on a global scale and instruments for reconciling competing interests are urgently needed. Multicriteria decision analysis (MCDA) is a structured, decision-support process that can facilitate dialogue between groups with differing interests and incorporate human and environmental dimensions of conflict. MCDA is a structured and transparent method of breaking down complex problems and incorporating multiple objectives. The value of this process for addressing major challenges in conservation conflict management is that MCDA helps in setting realistic goals; entails a transparent decision-making process; and addresses mistrust, differing world views, cross-scale issues, patchy or contested information, and inflexible legislative tools. Overall we believe MCDA provides a valuable decision-support tool, particularly for increasing awareness of the effects of particular values and choices for working toward negotiated compromise, although an awareness of the effect of methodological choices and the limitations of the method is vital before applying it in conflict situations. © 2013 Society for Conservation Biology.

  5. Water supply system decision making using multicriteria analysis

    African Journals Online (AJOL)

    2005-07-04

    Jul 4, 2005 ... Political factor: Tourism in the city (Cr4). Each of these was measured according to the points of view of the decision makers. Some of these were difficult to measure, and this is one of the reasons for using multicriteria decision aid. The use of this methodology may be helpful in preserving all the information ...

  6. Individual relocation decisions after tornadoes: a multi-level analysis.

    Science.gov (United States)

    Cong, Zhen; Nejat, Ali; Liang, Daan; Pei, Yaolin; Javid, Roxana J

    2018-04-01

    This study examines how multi-level factors affected individuals' relocation decisions after EF4 and EF5 (Enhanced Fujita Tornado Intensity Scale) tornadoes struck the United States in 2013. A telephone survey was conducted with 536 respondents, including oversampled older adults, one year after these two disaster events. Respondents' addresses were used to associate individual information with block group-level variables recorded by the American Community Survey. Logistic regression revealed that residential damage and homeownership are important predictors of relocation. There was also significant interaction between these two variables, indicating less difference between homeowners and renters at higher damage levels. Homeownership diminished the likelihood of relocation among younger respondents. Random effects logistic regression found that the percentage of homeownership and of higher income households in the community buffered the effect of damage on relocation; the percentage of older adults reduced the likelihood of this group relocating. The findings are assessed from the standpoint of age difference, policy implications, and social capital and vulnerability. © 2018 The Author(s). Disasters © Overseas Development Institute, 2018.

  7. Multicriteria Decision Analysis of Freshwater Resource Management in Southwestern Bangladesh

    Science.gov (United States)

    Peters, C.; Baroud, H.; Hornberger, G. M.

    2016-12-01

    Freshwater resources in coastal Bangladesh fluctuate with extreme periods of shortage and abundance. Bangladeshis have adapted to these alternating periods but are still plagued with scarce drinking water resources due to pond water pathogens, salinity of groundwater, and arsenic contamination. The success of attempts to correct the problem of unsafe drinking water have varied across the southern Bangladesh as a result of physical and social factors. We use a multicriteria decision analysis (MCDA) to explore the various physical and social factors that influence decisions about freshwater technologies and management schemes in southern Bangladesh. To determine the best freshwater technologies and management schemes, we examine four alternatives, including managed aquifer recharge (MAR), pond sand filter (PSF), rain water harvesting (RWH), and tubewells (TW). Criteria are grouped into four categories (environmental, technical, social, and economic) and weighting of social factors will be determined by community surveys, non-governmental organizations (NGO) opinions, and academic interviews. Social data include regional water quality perceptions, perceptions of management/technology success, MAR community surveys, and interviews with NGO partners. Environmental and technical feasibility factors are determined from regional water quality data, geospatial information, land use/land change, and regional stratigraphy. Survey data suggest a wide range of criteria based on location and stakeholder perception. MAR and PSF technologies likely have the greatest environmental and technical potential for success but are highly influenced by community dynamics, individual perspective, and NGO involvement. RWH solutions are used frequently and are successful at reducing the water security threats of contamination by pathogens, arsenic, and salts. This MCDA informs us of community and stakeholder water resource decisions, specifically related to their objectives and preferences.

  8. A model for improving energy efficiency in industrial motor system using multicriteria analysis

    International Nuclear Information System (INIS)

    Herrero Sola, Antonio Vanderley; Mota, Caroline Maria de Miranda; Kovaleski, Joao Luiz

    2011-01-01

    In the last years, several policies have been proposed by governments and global institutions in order to improve the efficient use of energy in industries worldwide. However, projects in industrial motor systems require new approach, mainly in decision making area, considering the organizational barriers for energy efficiency. Despite the wide application, multicriteria methods remain unexplored in industrial motor systems until now. This paper proposes a multicriteria model using the PROMETHEE II method, with the aim of ranking alternatives for induction motors replacement. A comparative analysis of the model, applied to a Brazilian industry, has shown that multicriteria analysis presents better performance on energy saving as well as return on investments than single criterion. The paper strongly recommends the dissemination of multicriteria decision aiding as a policy to support the decision makers in industries and to improve energy efficiency in electric motor systems. - Highlights: → Lack of decision model in industrial motor system is the main motivation of the research. → A multicriteria model based on PROMETHEE method is proposed with the aim of supporting the decision makers in industries. → The model can contribute to transpose some barriers within the industries, improving the energy efficiency in industrial motor system.

  9. A model for improving energy efficiency in industrial motor system using multicriteria analysis

    Energy Technology Data Exchange (ETDEWEB)

    Herrero Sola, Antonio Vanderley, E-mail: sola@utfpr.edu.br [Federal University of Technology, Parana, Brazil (UTFPR)-Campus Ponta Grossa, Av. Monteiro Lobato, Km 4, CEP: 84016-210 (Brazil); Mota, Caroline Maria de Miranda, E-mail: carolmm@ufpe.br [Federal University of Pernambuco, Cx. Postal 7462, CEP 50630-970, Recife (Brazil); Kovaleski, Joao Luiz [Federal University of Technology, Parana, Brazil (UTFPR)-Campus Ponta Grossa, Av. Monteiro Lobato, Km 4, CEP: 84016-210 (Brazil)

    2011-06-15

    In the last years, several policies have been proposed by governments and global institutions in order to improve the efficient use of energy in industries worldwide. However, projects in industrial motor systems require new approach, mainly in decision making area, considering the organizational barriers for energy efficiency. Despite the wide application, multicriteria methods remain unexplored in industrial motor systems until now. This paper proposes a multicriteria model using the PROMETHEE II method, with the aim of ranking alternatives for induction motors replacement. A comparative analysis of the model, applied to a Brazilian industry, has shown that multicriteria analysis presents better performance on energy saving as well as return on investments than single criterion. The paper strongly recommends the dissemination of multicriteria decision aiding as a policy to support the decision makers in industries and to improve energy efficiency in electric motor systems. - Highlights: > Lack of decision model in industrial motor system is the main motivation of the research. > A multicriteria model based on PROMETHEE method is proposed with the aim of supporting the decision makers in industries. > The model can contribute to transpose some barriers within the industries, improving the energy efficiency in industrial motor system.

  10. A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis.

    Science.gov (United States)

    Tervonen, Tommi; van Valkenhoef, Gert; Buskens, Erik; Hillege, Hans L; Postmus, Douwe

    2011-05-30

    Drug benefit-risk (BR) analysis is based on firm clinical evidence regarding various safety and efficacy outcomes. In this paper, we propose a new and more formal approach for constructing a supporting multi-criteria model that fully takes into account the evidence on efficacy and adverse drug reactions. Our approach is based on the stochastic multi-criteria acceptability analysis methodology, which allows us to compute the typical value judgments that support a decision, to quantify decision uncertainty, and to compute a comprehensive BR profile. We construct a multi-criteria model for the therapeutic group of second-generation antidepressants. We assess fluoxetine and venlafaxine together with placebo according to incidence of treatment response and three common adverse drug reactions by using data from a published study. Our model shows that there are clear trade-offs among the treatment alternatives. Copyright © 2011 John Wiley & Sons, Ltd.

  11. Analysis of multicriteria models application for selection of an optimal artificial lift method in oil production

    Directory of Open Access Journals (Sweden)

    Crnogorac Miroslav P.

    2016-01-01

    Full Text Available In the world today for the exploitation of oil reservoirs by artificial lift methods are applied different types of deep pumps (piston, centrifugal, screw, hydraulic, water jet pumps and gas lift (continuous, intermittent and plunger. Maximum values of oil production achieved by these exploitation methods are significantly different. In order to select the optimal exploitation method of oil well, the multicriteria analysis models are used. In this paper is presented an analysis of the multicriteria model's application known as VIKOR, TOPSIS, ELECTRE, AHP and PROMETHEE for selection of optimal exploitation method for typical oil well at Serbian exploration area. Ranking results of applicability of the deep piston pumps, hydraulic pumps, screw pumps, gas lift method and electric submersible centrifugal pumps, indicated that in the all above multicriteria models except in PROMETHEE, the optimal method of exploitation are deep piston pumps and gas lift.

  12. Mechanism analysis on nuclear technical relocation of the major countries

    International Nuclear Information System (INIS)

    1985-12-01

    This report is about cooperation method of nuclear energy among the USA, France and Canada. So it deals with building a cooperative system on nuclear technical relocation, researching a foreign policy on nuclear energy of the USA and cooperation method and cooperation trend of Japan, Canada, Russia, China and West Germany.

  13. Multicriteria analysis to evaluate the energetic reuse of riparian vegetation

    International Nuclear Information System (INIS)

    Recchia, Lucia; Cini, Enrico; Corsi, Stefano

    2010-01-01

    The management of riparian vegetation which includes cutting operations of grass, reeds, bushes and trees, is very important to reduce hydrogeologic risk. In Tuscany, riparian biomass and residues are mainly left shredded along courses or disposed in landfills as special wastes: actually different laws prohibit that tree trunks are abandoned in areas naturally affected by flooding, because they can be moved contributing to increase the water level and to maximize the hydraulic risk of some other nearby areas. In some cases, it is also possible to store the logs in specified sites from where they can be taken and used as a fuel in fireplaces or domestic heating plants. This work studies the possibility of the reuse of riparian vegetation as biomass for energy production and evaluates benefits and drawbacks from the economical, environmental and managerial points of view. Particularly, a specific methodology has been developed for two hydrological districts of Tuscany, with different typologies and densities of vegetation. First, an estimation of biomass distribution on the land and an evaluation of annual wood availability have been carried out; then, different chains concerning harvesting operation, biomass transport, storage conditions and final utilisation, have been defined and compared by a specific multicriteria analysis (MCA); finally, for the most suitable bio-energy chains the Life Cycle Assessment (LCA) has been implemented. Results of the LCA have also permitted to validate some environmental indicators used in the MCA, as mechanisation level of yards, energy efficiency of plants or transport distances. The decision making tool developed allows to compare costs and environmental benefits of the energy use of riparian vegetation, supporting local authorities involved in energy planning: in this way it is possible to confront different alternatives to match the energy demand and meet the energy saving and sustainability issues at the lowest cost for the

  14. Multicriteria analysis to evaluate the energetic reuse of riparian vegetation

    Energy Technology Data Exchange (ETDEWEB)

    Recchia, Lucia; Cini, Enrico [Dipartimento di Ingegneria Agraria e Forestale, Universita di Firenze, Piazzale delle Cascine 15, 50144 Firenze (Italy); Corsi, Stefano [Consorzio di Bonifica per la difesa del suolo e la tutela dell' ambiente della Toscana Centrale, via Verdi 16, 50122 Firenze (Italy)

    2010-01-15

    The management of riparian vegetation which includes cutting operations of grass, reeds, bushes and trees, is very important to reduce hydrogeologic risk. In Tuscany, riparian biomass and residues are mainly left shredded along courses or disposed in landfills as special wastes: actually different laws prohibit that tree trunks are abandoned in areas naturally affected by flooding, because they can be moved contributing to increase the water level and to maximize the hydraulic risk of some other nearby areas. In some cases, it is also possible to store the logs in specified sites from where they can be taken and used as a fuel in fireplaces or domestic heating plants. This work studies the possibility of the reuse of riparian vegetation as biomass for energy production and evaluates benefits and drawbacks from the economical, environmental and managerial points of view. Particularly, a specific methodology has been developed for two hydrological districts of Tuscany, with different typologies and densities of vegetation. First, an estimation of biomass distribution on the land and an evaluation of annual wood availability have been carried out; then, different chains concerning harvesting operation, biomass transport, storage conditions and final utilisation, have been defined and compared by a specific multicriteria analysis (MCA); finally, for the most suitable bio-energy chains the Life Cycle Assessment (LCA) has been implemented. Results of the LCA have also permitted to validate some environmental indicators used in the MCA, as mechanisation level of yards, energy efficiency of plants or transport distances. The decision making tool developed allows to compare costs and environmental benefits of the energy use of riparian vegetation, supporting local authorities involved in energy planning: in this way it is possible to confront different alternatives to match the energy demand and meet the energy saving and sustainability issues at the lowest cost for the

  15. Fuel relocation modeling in the SAS4A accident analysis code system

    International Nuclear Information System (INIS)

    Tentner, A.M.; Miles, K.J.; Kalimullah; Hill, D.J.

    1986-01-01

    The SAS4A code system has been designed for the analysis of the initial phase of Hypothetical Core Disruptive Accidents (HCDAs) up to gross melting or failure of the subassembly walls. During such postulated accident scenarios as the Loss-of-Flow (LOF) and Transient-Overpower (TOP) events, the relocation of the fuel plays a key role in determining the sequence of events and the amount of energy produced before neutronic shutdown. This paper discusses the general strategy used in modelong the various phenomena which lead to fuel relocation and presents the key fuel relocation models used in SAS4A. The implications of these models for the whole-core accident analysis as well as recent results of fuel relocation are emphasized. 12 refs

  16. Using multi-criteria analysis of simulation models to understand complex biological systems

    Science.gov (United States)

    Maureen C. Kennedy; E. David. Ford

    2011-01-01

    Scientists frequently use computer-simulation models to help solve complex biological problems. Typically, such models are highly integrated, they produce multiple outputs, and standard methods of model analysis are ill suited for evaluating them. We show how multi-criteria optimization with Pareto optimality allows for model outputs to be compared to multiple system...

  17. A multi-criteria decision analysis of augmentative treatment of upper limps in persons with tetraplegia

    NARCIS (Netherlands)

    Hummel, J. Marjan; Snoek, Govert J.; van Til, Janine Astrid; van Rossum, Wouter; IJzerman, Maarten Joost

    2005-01-01

    This study supported the evaluation by a rehabilitation team of the performance of two treatment options that improve the arm-hand function in subjects with sixth cervical vertebra (C6) level Motor Group 2 tetraplegia. The analytic hierarchy process, a technique for multicriteria decision analysis,

  18. A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis

    NARCIS (Netherlands)

    Tervonen, Tommi; van Valkenhoef, Gert; Buskens, Erik; Hillege, Hans L.; Postmus, Douwe

    2011-01-01

    Drug benefit-risk (BR) analysis is based on firm clinical evidence regarding various safety and efficacy outcomes. In this paper, we propose a new and more formal approach for constructing a supporting multicriteria model that fully takes into account the evidence on efficacy and adverse drug

  19. A state-of-the-art multi-criteria model for drug benefit-risk analysis

    NARCIS (Netherlands)

    Tervonen, T.; Hillege, H.L.; Buskens, E.; Postmus, D.

    2010-01-01

    Drug benefit-risk analysis is based on firm clinical evidence related to various safety and efficacy outcomes, such as tolerability, treatment response, and adverse events. In this paper, we propose a new approach for constructing a supporting multi-criteria model that fully takes into account this

  20. National Risk Assessment in The Netherlands : A Multi-Criteria Decision Analysis Approach

    NARCIS (Netherlands)

    Pruyt, E.; Wijnmalen, D.J.D.

    2010-01-01

    Nowadays, National Safety and Security issues receive much attention in many countries. In 2007, the Dutch government approved a National Safety and Security Strategy based on a multi-criteria analysis approach to classify potential threats and hazards. The general methodology of this Dutch National

  1. Multi-Criteria Decision Making for a Spatial Decision Support System on the Analysis of Changing Risk

    Science.gov (United States)

    Olyazadeh, Roya; van Westen, Cees; Bakker, Wim H.; Aye, Zar Chi; Jaboyedoff, Michel; Derron, Marc-Henri

    2014-05-01

    Natural hazard risk management requires decision making in several stages. Decision making on alternatives for risk reduction planning starts with an intelligence phase for recognition of the decision problems and identifying the objectives. Development of the alternatives and assigning the variable by decision makers to each alternative are employed to the design phase. Final phase evaluates the optimal choice by comparing the alternatives, defining indicators, assigning a weight to each and ranking them. This process is referred to as Multi-Criteria Decision Making analysis (MCDM), Multi-Criteria Evaluation (MCE) or Multi-Criteria Analysis (MCA). In the framework of the ongoing 7th Framework Program "CHANGES" (2011-2014, Grant Agreement No. 263953) of the European Commission, a Spatial Decision Support System is under development, that has the aim to analyse changes in hydro-meteorological risk and provide support to selecting the best risk reduction alternative. This paper describes the module for Multi-Criteria Decision Making analysis (MCDM) that incorporates monetary and non-monetary criteria in the analysis of the optimal alternative. The MCDM module consists of several components. The first step is to define criteria (or Indicators) which are subdivided into disadvantages (criteria that indicate the difficulty for implementing the risk reduction strategy, also referred to as Costs) and advantages (criteria that indicate the favorability, also referred to as benefits). In the next step the stakeholders can use the developed web-based tool for prioritizing criteria and decision matrix. Public participation plays a role in decision making and this is also planned through the use of a mobile web-version where the general local public can indicate their agreement on the proposed alternatives. The application is being tested through a case study related to risk reduction of a mountainous valley in the Alps affected by flooding. Four alternatives are evaluated in

  2. INTEGRATION OF MULTICRITERIA ANALYSIS INTO DECISION SUPPORT CONCEPT FOR URBAN ROAD INFRASTRUCTURE MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Niksa Jajac

    2010-12-01

    Full Text Available Urban road infrastructure management deals with complex decision making process. There are several reasons for a complexity such as: multi-disciplinarity, lots of participants, huge quantity of information, limited budget, conflict goals and criteria. These facts indicate that decision making processes in urban road infrastructure management belong to ill-defined problems. In order to cope with such complexity and to help managers during decision making processes this research proposes an application of multicriteria methods. Therefore, a generic concept of decision support for urban road infrastructure management based on multicriteria analysis is proposed. Three multicriteria methods: AHP, SAW and PROMETHHE, in a combination with 0-1 programming are used. The main advantage of an application of multicriteria analysis is that all stakeholders could be objectively included into decision process. Therefore, setting up of criteria weights involves opinions from all stakeholders’ groups (stakeholders are divided into three characteristic groups. Evaluation of criteria importance (weights is based on three sets of opinions processed by Analytic Hierarchic Processing (AHP method. Three sets of criteria are then processed by Simple Additive Weighting (SAW method resulting in a final set of criteria weights. By using SAW method, relative importance of opinions of all three stakeholders’ groups is introduced. Collected data are then processed by PROMETHEE multicriteria methods. Proposed decision support concept is validated on the problem of improvement of one part of an urban road infrastructure system for a large urban area of town of Split. The concept is efficiently applied on several problems regarding parking garages: location selection, sub-project ranking, definition of an investment strategy.

  3. IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

    OpenAIRE

    DERYA OZTURK; FATMAGUL BATUK

    2011-01-01

    This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS–MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS–MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, a...

  4. Analysis of core degradation and relocation phenomena and scenarios in a Nordic-type BWR

    Energy Technology Data Exchange (ETDEWEB)

    Galushin, Sergey, E-mail: galushin@kth.se; Kudinov, Pavel, E-mail: pkudinov@kth.se

    2016-12-15

    Highlights: • A data base of the debris properties in lower plenum generated using MELCOR code. • The timing of safety systems has significant effect on the relocated debris properties. • Loose coupling between core relocation and vessel failure analyses was established. - Abstract: Severe Accident Management (SAM) in Nordic Boiling Water Reactors (BWR) employs ex-vessel cooling of core melt debris. The melt is released from the failed vessel and poured into a deep pool of water located under the reactor. The melt is expected to fragment, quench, and form a debris bed, coolable by a natural circulation and evaporation of water. Success of the strategy is contingent upon melt release conditions from the vessel and melt-coolant interaction that determine (i) properties of the debris bed and its coolability (ii) potential for energetic melt-coolant interactions (steam explosions). Risk Oriented Accident Analysis Methodology (ROAAM+) framework is currently under development for quantification of the risks associated with formation of non-coolable debris bed and occurrence of steam explosions, both presenting a credible threats to containment integrity. The ROAAM+ framework consist of loosely coupled models that describe each stage of the accident progression. Core relocation analysis framework provides initial conditions for melt vessel interaction, vessel failure and melt release frameworks. The properties of relocated debris and melt release conditions, including in-vessel and ex-vessel pressure, lower drywell pool depth and temperature, are sensitive to the accident scenarios and timing of safety systems recovery and operator actions. This paper illustrates a methodological approach and relevant data for establishing a connection between core relocation and vessel failure analysis in ROAAM+ approach. MELCOR code is used for analysis of core degradation and relocation phenomena. Properties of relocated debris are obtained as functions of the accident scenario

  5. A Flood Risk Assessment of Quang Nam, Vietnam Using Spatial Multicriteria Decision Analysis

    Directory of Open Access Journals (Sweden)

    Chinh Luu

    2018-04-01

    Full Text Available Vietnam is highly vulnerable to flood and storm impacts. Holistic flood risk assessment maps that adequately consider flood risk factors of hazard, exposure, and vulnerability are not available. These are vital for flood risk preparedness and disaster mitigation measures at the local scale. Unfortunately, there is a lack of knowledge about spatial multicriteria decision analysis and flood risk analysis more broadly in Vietnam. In response to this need, we identify and quantify flood risk components in Quang Nam province through spatial multicriteria decision analysis. The study presents a new approach to local flood risk assessment mapping, which combines historical flood marks with exposure and vulnerability data. The flood risk map output could assist and empower decision-makers in undertaking flood risk management activities in the province. Our study demonstrates a methodology to build flood risk assessment maps using flood mark, exposure and vulnerability data, which could be applied in other provinces in Vietnam.

  6. Use of external cost assessment and multi-criteria decision analysis for comparative evaluation of options for electricity supply

    International Nuclear Information System (INIS)

    Hirschberg, Stefan; Dones, Roberto; Gantner, Urs

    2000-01-01

    This paper addresses external cost and multi-criteria analyses carried out for selected future electricity generating systems of interest under the Swiss. conditions. The external cost estimates are based on an application of the 'impact pathway approach', enriched by earlier experience from extensive Life Cycle Assessment (LCA). The estimated total costs, i.e. the sum of internal and external costs may serve as a measure of economic and environmental efficiency of energy systems. The multi-criteria approach allows a more explicit consideration of the social dimension, highly important for the decision process. The applications of multi-criteria analysis illustrate the sensitivity of the results to a range of preferences expressed in the energy debate. Certain patterns in systems ranking can be observed in spite of these sensitivities. Both total cost assessment and multi-criteria analysis are found to be useful, complementary instruments to support the decision process. (author)

  7. GIS and Multicriteria Decision Analysis for Landfill Site Selection in AL-HashimyahQadaa

    OpenAIRE

    Alanbari, Mohammad Ali; Al-Ansari, Nadhir; Jasim, Hadeel Kareem

    2014-01-01

    Waste management system is not well regulated in Iraq. Despite the fact that there are various techniques used for solid waste disposal, landfill is the most common mode for the disposal of solid waste in Iraq, landfill site selection criteria is quite complex process and it depends on several regulation and factors. In this study landfill site selection is performed by using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS) for the Al-Hashimyahqadaa. Existing lan...

  8. Fuel relocation modeling in the SAS4A accident analysis code system

    International Nuclear Information System (INIS)

    Tentner, A.M.; Miles, K.J.

    1985-01-01

    SAS4A is a new code system which has been designed for analyzing the initial phase of Hypothetical Core Disruptive Accidents (HCDAs) up to gross melting or failure of the subassembly walls. During such postulated accident scenarios as the Loss-of-Flow (LOF) and Transient-Overpower (TOP) events, the relocation of the fuel plays a key role in determining the sequence of events and the amount of energy produced before neutronic shutdown. This paper discusses the general strategy used in modeling the various phenomena which lead to fuel relocation and presents the key fuel relocation models used in SAS4A. The implications of these models for the whole-core accident analysis as well as recent results of fuel motion experiment analyses are also presented

  9. Health care priority setting in Norway a multicriteria decision analysis

    Directory of Open Access Journals (Sweden)

    Defechereux Thierry

    2012-02-01

    Full Text Available Abstract Background Priority setting in population health is increasingly based on explicitly formulated values. The Patients Rights Act of the Norwegian tax-based health service guaranties all citizens health care in case of a severe illness, a proven health benefit, and proportionality between need and treatment. This study compares the values of the country's health policy makers with these three official principles. Methods In total 34 policy makers participated in a discrete choice experiment, weighting the relative value of six policy criteria. We used multi-variate logistic regression with selection as dependent valuable to derive odds ratios for each criterion. Next, we constructed a composite league table - based on the sum score for the probability of selection - to rank potential interventions in five major disease areas. Results The group considered cost effectiveness, large individual benefits and severity of disease as the most important criteria in decision making. Priority interventions are those related to cardiovascular diseases and respiratory diseases. Less attractive interventions rank those related to mental health. Conclusions Norwegian policy makers' values are in agreement with principles formulated in national health laws. Multi-criteria decision approaches may provide a tool to support explicit allocation decisions.

  10. Health care priority setting in Norway a multicriteria decision analysis.

    Science.gov (United States)

    Defechereux, Thierry; Paolucci, Francesco; Mirelman, Andrew; Youngkong, Sitaporn; Botten, Grete; Hagen, Terje P; Niessen, Louis W

    2012-02-15

    Priority setting in population health is increasingly based on explicitly formulated values. The Patients Rights Act of the Norwegian tax-based health service guaranties all citizens health care in case of a severe illness, a proven health benefit, and proportionality between need and treatment. This study compares the values of the country's health policy makers with these three official principles. In total 34 policy makers participated in a discrete choice experiment, weighting the relative value of six policy criteria. We used multi-variate logistic regression with selection as dependent valuable to derive odds ratios for each criterion. Next, we constructed a composite league table - based on the sum score for the probability of selection - to rank potential interventions in five major disease areas. The group considered cost effectiveness, large individual benefits and severity of disease as the most important criteria in decision making. Priority interventions are those related to cardiovascular diseases and respiratory diseases. Less attractive interventions rank those related to mental health. Norwegian policy makers' values are in agreement with principles formulated in national health laws. Multi-criteria decision approaches may provide a tool to support explicit allocation decisions.

  11. Use of external cost assessment and multi-criteria decision analysis for comparative evaluation of options for electricity supply

    International Nuclear Information System (INIS)

    Hirschberg, S.; Dones, R.; Gantner, U.

    2001-01-01

    The paper addresses external cost and multi-criteria analyses carried out for selected future electricity generating systems of interest under the Swiss conditions. The external cost estimates are based on an application of the 'impact pathway approach', enhanced by earlier experience from extensive Life Cycle Assessment (LCA). The estimated total costs, i.e. the sum of internal and external costs, may serve as a measure of economic and environmental efficiency of energy systems. The multi-criteria approach allows a more explicit consideration of the social dimension, which is highly important for the decision-making process. The applications of multi-criteria analyses illustrate the sensitivity of the results to the range of preferences expressed in the energy debate. Certain patterns in system ranking can be observed in spite of these sensitivities. Both total cost assessment and multi-criteria analysis are found to be useful, complementary instruments to support procedures for decision-making. (author)

  12. Multicriteria analysis for the selection of the most appropriate energy crops: the case of Cyprus

    Science.gov (United States)

    Kylili, Angeliki; Christoforou, Elias; Fokaides, Paris A.; Polycarpou, Polycarpos

    2016-01-01

    Energy crops are considered key actors in meeting the international and European carbon reduction targets, increasing the national energy security through renewable energy production, mitigating climate change impacts, and promoting sustainability. Multicriteria analysis is a suitable decision-making tool for the energy sector, where the final decisions have to consider for a range of aspects, and can be utilised as well for deciding on appropriate energy crops. In this paper, a popular multicriteria method, PROMETHEE, is employed for the identification of the most optimal energy crops for their exploitation in Cyprus. The criteria and the weights of each are defined, and accordingly five different scenarios are developed and examined. The obtained results indicated that the promotion of second-generation energy crops is more ideal in terms of the set objectives, as well as more sustainable than the exploitation of any first-generation energy crop.

  13. Evaluating patent portfolios by means of multicriteria analysis

    Directory of Open Access Journals (Sweden)

    Xiaolu Wang

    2011-06-01

    Full Text Available Valuation of intangible assets is a complex topic where traditional methodologies are not always successful. Nevertheless, intangible assets, like patents, have become of great importance to companies, as their value is considered to be relevant economic and strategic information, so it is necessary to evaluate firms’ patent portfolios. The present research introduces an extended goal programming model to calculate the relative importance of the patents of companies in a patent pool. This information may be useful for patent valuation as well as for management purposes. The proposed multicriteria methodology has been applied to the 19 companies in the MPEG2 patent pool, with a total of 770 valid patents, using 7 criteria to obtain a composite measure of the relative position of the firms in the patent pool.RESUMENLa valoración de activos intangibles constituye un área compleja donde los métodos tradicionales no siempre obtienen buenos resultados. Sin embargo, los activos intangibles, entre ellos las patentes, han ganado importancia en las empresas, de forma que el cálculo de su valor se ha convertido en una cuestión estratégica en muchos casos. Este hecho requiere que las empresas valoren la cartera de patentes en su conjunto. La presente investigación presenta un modelo extendido de programación por metas y su aplicación para el cálculo de la importancia relativa de las patentes. Este modelo puede resultar importante tanto para la valoración de las patentes como para la gestión empresarial. La metodología multicriterio propuesta ha sido aplicado a 19 empresas en el sector de las patentes del formato MPEG2, con un total de 770 patentes válidas, y utilizando 7 criterios con el objetivo de obtener una medida compuesta de la posición relativa de las empresas en el conjunto de patentes.

  14. Multicriteria analysis for sources of renewable energy using data from remote sensing

    Science.gov (United States)

    Matejicek, L.

    2015-04-01

    Renewable energy sources are major components of the strategy to reduce harmful emissions and to replace depleting fossil energy resources. Data from remote sensing can provide information for multicriteria analysis for sources of renewable energy. Advanced land cover quantification makes it possible to search for suitable sites. Multicriteria analysis, together with other data, is used to determine the energy potential and socially acceptability of suggested locations. The described case study is focused on an area of surface coal mines in the northwestern region of the Czech Republic, where the impacts of surface mining and reclamation constitute a dominant force in land cover changes. High resolution satellite images represent the main input datasets for identification of suitable sites. Solar mapping, wind predictions, the location of weirs in watersheds, road maps and demographic information complement the data from remote sensing for multicriteria analysis, which is implemented in a geographic information system (GIS). The input spatial datasets for multicriteria analysis in GIS are reclassified to a common scale and processed with raster algebra tools to identify suitable sites for sources of renewable energy. The selection of suitable sites is limited by the CORINE land cover database to mining and agricultural areas. The case study is focused on long term land cover changes in the 1985-2015 period. Multicriteria analysis based on CORINE data shows moderate changes in mapping of suitable sites for utilization of selected sources of renewable energy in 1990, 2000, 2006 and 2012. The results represent map layers showing the energy potential on a scale of a few preference classes (1-7), where the first class is linked to minimum preference and the last class to maximum preference. The attached histograms show the moderate variability of preference classes due to land cover changes caused by mining activities. The results also show a slight increase in the more

  15. Minimizing impacts of land use change on ecosystem services using multi-criteria heuristic analysis.

    Science.gov (United States)

    Keller, Arturo A; Fournier, Eric; Fox, Jessica

    2015-06-01

    Development of natural landscapes to support human activities impacts the capacity of the landscape to provide ecosystem services. Typically, several ecosystem services are impacted at a single development site and various footprint scenarios are possible, thus a multi-criteria analysis is needed. Restoration potential should also be considered for the area surrounding the permanent impact site. The primary objective of this research was to develop a heuristic approach to analyze multiple criteria (e.g. impacts to various ecosystem services) in a spatial configuration with many potential development sites. The approach was to: (1) quantify the magnitude of terrestrial ecosystem service (biodiversity, carbon sequestration, nutrient and sediment retention, and pollination) impacts associated with a suite of land use change scenarios using the InVEST model; (2) normalize results across categories of ecosystem services to allow cross-service comparison; (3) apply the multi-criteria heuristic algorithm to select sites with the least impact to ecosystem services, including a spatial criterion (separation between sites). As a case study, the multi-criteria impact minimization algorithm was applied to InVEST output to select 25 potential development sites out of 204 possible locations (selected by other criteria) within a 24,000 ha property. This study advanced a generally applicable spatial multi-criteria approach for 1) considering many land use footprint scenarios, 2) balancing impact decisions across a suite of ecosystem services, and 3) determining the restoration potential of ecosystem services after impacts. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  16. ANALYSIS OF ENVIRONMENTAL FRAGILITY USING MULTI-CRITERIA ANALYSIS (MCE FOR INTEGRATED LANDSCAPE ASSESSMENT

    Directory of Open Access Journals (Sweden)

    Abimael Cereda Junior

    2014-01-01

    Full Text Available The Geographic Information Systems brought greater possibilitie s to the representation and interpretation of the landscap e as well as the integrated a nalysis. However, this approach does not dispense technical and methodological substan tiation for achieving the computational universe. This work is grounded in ecodynamic s and empirical analysis of natural and anthr opogenic environmental Fragility a nd aims to propose and present an integrated paradigm of Multi-criteria Analysis and F uzzy Logic Model of Environmental Fragility, taking as a case study of the Basin of Monjolinho Stream in São Carlos-SP. The use of this methodology allowed for a reduct ion in the subjectivism influences of decision criteria, which factors might have its cartographic expression, respecting the complex integrated landscape.

  17. Multi-Criteria Analysis of Alternative Energy Supply Solutions to Public Nearly Zero Energy Buildings

    Directory of Open Access Journals (Sweden)

    Giedrius Šiupšinskas

    2013-12-01

    Full Text Available The article analyzes energy supply alternatives for modernised public nearly zero energy buildings. The paper examines alternative energy production systems such as heat pumps (air-water and ground-water, solar collectors, adsorption cooling, biomass boiler, solar photovoltaic, wind turbines and combinations of these systems. The simulation of the analysed building energy demand for different energy production alternatives has been performed using TRNSYS modelling software. In order to determine an optimal energy supply variant, the estimated results of energy, environmental, and economic evaluation have been converted into non-dimensional variables (3E using multi-criteria analysis.Article in Lithuanian

  18. Application of multi-criteria decision analysis in selecting of sustainable investments

    Science.gov (United States)

    Kozik, Renata

    2017-07-01

    Investors of construction projects, especially financed with public money, quite slowly adapt environmentally friendly solutions, e.g. passive buildings. Practice shows that the use of green public procurement among the public investors is negligible. Energy-saving technologies and equipment are expensive at the construction phase and investors less or not at all take into account the future operating costs. The aim of this article is to apply the method of multi-criteria analysis ELECTRE to select the best investment in terms of cost of implementation, operation, as well as the impact on the environment.

  19. Multi-criteria analysis on how to select solar radiation hydrogen production system

    Energy Technology Data Exchange (ETDEWEB)

    Badea, G.; Naghiu, G. S., E-mail: naghiu.george@gmail.com; Felseghi, R.-A.; Giurca, I., E-mail: giurca-ioan@yahoo.com [Technical University of Cluj-Napoca, Faculty of Building Services Engineering, Boulevard December 21, no. 128-130, Cluj-Napoca, 400604 (Romania); Răboacă, S. [National R& D Institute for Cryogenic and Isotopic Technologies, str. Uzinei, no. 4, Rm. Vălcea, 240050 (Romania); Aşchilean, I. [SC ACI Cluj SA, Avenue Dorobanţilor, no. 70, Cluj-Napoca, 400609 (Romania)

    2015-12-23

    The purpose of this article is to present a method of selecting hydrogen-production systems using the electric power obtained in photovoltaic systems, and as a selecting method, we suggest the use of the Advanced Multi-Criteria Analysis based on the FRISCO formula. According to the case study on how to select the solar radiation hydrogen production system, the most convenient alternative is the alternative A4, namely the technical solution involving a hydrogen production system based on the electrolysis of water vapor obtained with concentrated solar thermal systems and electrical power obtained using concentrating photovoltaic systems.

  20. Tax Havens: Toward An Optimal Selection Approach Based On Multicriteria Analysis

    OpenAIRE

    Tov Assogbavi; Sébastien Azondékon Azondékon

    2011-01-01

    The purpose of this paper is to demystify the concept of tax havens. After defining tax havens in a tax-planning framework, the paper introduces a tax haven selection methodology based on a variant of Gibson and Black multicriteria analysis to identify the most suitable tax haven for a given entity. The study shows the importance of subjective variables and how to incorporate them into a tax haven selection process. While tax advantages remain the key factor when searching for a tax haven sol...

  1. Design and optimization of a ground water monitoring system using GIS and multicriteria decision analysis

    Energy Technology Data Exchange (ETDEWEB)

    Dutta, D.; Gupta, A.D.; Ramnarong, V.

    1998-12-31

    A GIS-based methodology has been developed to design a ground water monitoring system and implemented for a selected area in Mae-Klong River Basin, Thailand. A multicriteria decision-making analysis has been performed to optimize the network system based on major criteria which govern the monitoring network design such as minimization of cost of construction, reduction of kriging standard deviations, etc. The methodology developed in this study is a new approach to designing monitoring networks which can be used for any site considering site-specific aspects. It makes it possible to choose the best monitoring network from various alternatives based on the prioritization of decision factors.

  2. Accumulation Systems of Electric Energy Solved by Multicriteria Analysis Methods IPA and Topsis

    Directory of Open Access Journals (Sweden)

    Zdenek Hradilek

    2008-01-01

    Full Text Available This work deals with utilization of multicriteria analysis methods IPA and TOPSIS to assess three storage systems (Fuel Cells, Lead Acid Batteries and Pumped Storage Hydro Plants. Procedures of IPA and TOPSIS methods are described here as like as calculation of mentioned problem. Storage systems are assessed in terms of four criteria (Start up Time, Efficiency of Accumulation, Lifetime and Specific Costs/ kW of Power Output. Weights of criteria are also focused here. They are suggested by experts and statistically calculated.

  3. Multi-criteria analysis of potential recovery facilities in a reverse supply chain

    Science.gov (United States)

    Nukala, Satish; Gupta, Surendra M.

    2005-11-01

    Analytic Hierarchy Process (AHP) has been employed by researchers for solving multi-criteria analysis problems. However, AHP is often criticized for its unbalanced scale of judgments and failure to precisely handle the inherent uncertainty and vagueness in carrying out the pair-wise comparisons. With an objective to address these drawbacks, in this paper, we employ a fuzzy approach in selecting potential recovery facilities in the strategic planning of a reverse supply chain network that addresses the decision maker's level of confidence in the fuzzy assessments and his/her attitude towards risk. A numerical example is considered to illustrate the methodology.

  4. Priority setting of health interventions: the need for multi-criteria decision analysis

    Directory of Open Access Journals (Sweden)

    Baltussen Rob

    2006-08-01

    Full Text Available Abstract Priority setting of health interventions is often ad-hoc and resources are not used to an optimal extent. Underlying problem is that multiple criteria play a role and decisions are complex. Interventions may be chosen to maximize general population health, to reduce health inequalities of disadvantaged or vulnerable groups, ad/or to respond to life-threatening situations, all with respect to practical and budgetary constraints. This is the type of problem that policy makers are typically bad at solving rationally, unaided. They tend to use heuristic or intuitive approaches to simplify complexity, and in the process, important information is ignored. Next, policy makers may select interventions for only political motives. This indicates the need for rational and transparent approaches to priority setting. Over the past decades, a number of approaches have been developed, including evidence-based medicine, burden of disease analyses, cost-effectiveness analyses, and equity analyses. However, these approaches concentrate on single criteria only, whereas in reality, policy makers need to make choices taking into account multiple criteria simultaneously. Moreover, they do not cover all criteria that are relevant to policy makers. Therefore, the development of a multi-criteria approach to priority setting is necessary, and this has indeed recently been identified as one of the most important issues in health system research. In other scientific disciplines, multi-criteria decision analysis is well developed, has gained widespread acceptance and is routinely used. This paper presents the main principles of multi-criteria decision analysis. There are only a very few applications to guide resource allocation decisions in health. We call for a shift away from present priority setting tools in health – that tend to focus on single criteria – towards transparent and systematic approaches that take into account all relevant criteria

  5. Multi-Criteria Analysis of Laser Cut Surface Characteristics in CO2 Laser Cutting of Stainless Steel

    Directory of Open Access Journals (Sweden)

    M. Radovanović

    2015-06-01

    Full Text Available In this paper an approach for multi-criteria analysis of laser cut surface characteristics using multi-criteria decision making (MCDM approach was presented. Laser cutting experiment was conducted based on Taguchi’s L27 experimental design by varying laser power, cutting speed, assist gas pressure and focus position at three levels. Multi-criteria analysis was performed by using the weighted aggregated sum product assessment (WASPAS method while considering burr height, drag line separation, depth of separation line, surface roughness and perpendicularity of the cut as assessment criteria. Based on conducted experimental investigation the MCDM model with 27 alternatives (laser cuts and five criteria was developed. The relative importance of criteria was determined by using pair-wise comparison matrix and geometric mean method of the analytic hierarchy process (AHP method.

  6. A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); A.K. Singh (Abhay)

    2016-01-01

    textabstractThis paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a

  7. Multi-criteria sustainability analysis of thermal power plant Kolubara-A Unit 2

    International Nuclear Information System (INIS)

    Škobalj, P.; Kijevčanin, M.; Afgan, N.; Jovanović, M.; Turanjanin, V.; Vučićević, B.

    2017-01-01

    The paper presents a possible approach for creating business decisions based on multi-criteria analysis. Seven options for a possible revitalization of the thermal power plant “Kolubara”-A Unit No. 2 with energy indicators of sustainable development (EISD) are presented in this paper. The chosen EISD numerically express the essential features of the analyzed options, while the sustainability criteria indicate the option quality within the limits of these indicators. In this paper, the criteria for assessing the sustainability options are defined based on several aspects: economic, social, environmental and technological. In the process of assessing the sustainability of the considered options the Analysis and Synthesis of Parameters under Information Deficiency (ASPID) method was used. In this paper, the EISD show that production and energy consumption are closely linked to economic, environmental and other indicators, such as economic and technological development of local communities with employment being one of the most important social parameter. Multi-criteria analysis for the case study of the TPP “Kolubara”-A clearly indicated recommendations to decision makers on the choice of the best available options in dependence on the energy policy. - Highlights: • Options for sustainable generation of electricity have been proposed. • Energy Indicators of Sustainable Development have been formed. • ASPID methodology has been implemented.

  8. Multi-criteria analysis for municipal solid waste management in a Brazilian metropolitan area.

    Science.gov (United States)

    Santos, Simone Machado; Silva, Maisa Mendonça; Melo, Renata Maciel; Gavazza, Savia; Florencio, Lourdinha; Kato, Mario T

    2017-10-15

    The decision-making process involved in municipal solid waste management (MSWM) must consider more than just financial aspects, which makes it a difficult task in developing countries. The Recife Metropolitan Region (RMR) in the Northeast of Brazil faces a MSWM problem that has been ongoing since the 1970s, with no common solution. In order to direct short-term solutions, three MSWM alternatives were outlined for the RMR, considering the current and future situations, the time and cost involved and social/environmental criteria. A multi-criteria approach, based on the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), was proposed to rank these alternatives. The alternative that included two private landfill sites and seven transfer, sorting and composting stations was confirmed as the most suitable and stable option for short-term MSWM, considering the two scenarios for the criteria weights. Sensitivity analysis was also performed to support the robustness of the results. The implementation of separate collections would minimize the amount of waste buried, while maximizing the useful life of landfill sites and increasing the timeframe of the alternative. Overall, the multi-criteria analysis was helpful and accurate during the alternative selection process, considering the similarities and restrictions of each option, which can lead to difficulties during the decision-making process.

  9. Multi-criteria analysis for site selection for the reuse of reclaimed water and biosolids

    Directory of Open Access Journals (Sweden)

    António Albuquerque

    2015-01-01

    Full Text Available Low pH soils with insufficient organic matter can benefit from the application of reclaimed water (RW and biosolids. The presence of nutrients also aids plant growth. This paper presents the results of two integrated research studies, both carried out in the Beira Interior Region (Covilhã, Portugal; one used RW for irrigation, the other applied paper mill sludge to agricultural land. In both cases, multiple criteria based on GIS tools were used for site selection. In the first study, the characteristics of RW analyzed over 2 years were found suitable for crop irrigation. The RW had moderate organic content, low electrical conductivity (CE, high nutrient content (N, P, and low concentrations of nitrate, metals and phytotoxic elements (Al, B, Cl and Na. The multi-criteria analysis was carried out taking into account environmental, technical and economic criteria and a suitable area of 30.5 ha was found for RW irrigation. In the second work, the paper mill sludge was considered suitable for application to agricultural land. Its concentrations of N, P and heavy metals did not a present risk for soil contamination and were suitable for soil improvement and crop production. A multi-criteria analysis based on similar criteria was conducted and a suitable area of 253 ha was found for sludge application.

  10. Coastal flooding as a parameter in multi-criteria analysis for industrial site selection

    Science.gov (United States)

    Christina, C.; Memos, C.; Diakoulaki, D.

    2014-12-01

    Natural hazards can trigger major industrial accidents, which apart from affecting industrial installations may cause a series of accidents with serious impacts on human health and the environment far beyond the site boundary. Such accidents, also called Na-Tech (natural - technical) accidents, deserve particular attention since they can cause release of hazardous substances possibly resulting in severe environmental pollution, explosions and/or fires. There are different kinds of natural events or, in general terms, of natural causes of industrial accidents, such as landslides, hurricanes, high winds, tsunamis, lightning, cold/hot temperature, floods, heavy rains etc that have caused accidents. The scope of this paper is to examine the coastal flooding as a parameter in causing an industrial accident, such as the nuclear disaster in Fukushima, Japan, and the critical role of this parameter in industrial site selection. Land use planning is a complex procedure that requires multi-criteria decision analysis involving economic, environmental and social parameters. In this context the parameter of a natural hazard occurrence, such as coastal flooding, for industrial site selection should be set by the decision makers. In this paper it is evaluated the influence that has in the outcome of a multi-criteria decision analysis for industrial spatial planning the parameter of an accident risk triggered by coastal flooding. The latter is analyzed in the context of both sea-and-inland induced flooding.

  11. Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water

    International Nuclear Information System (INIS)

    Khadam, Ibrahim M.; Kaluarachchi, Jagath J.

    2003-01-01

    Traditionally, environmental decision analysis in subsurface contamination scenarios is performed using cost-benefit analysis. In this paper, we discuss some of the limitations associated with cost-benefit analysis, especially its definition of risk, its definition of cost of risk, and its poor ability to communicate risk-related information. This paper presents an integrated approach for management of contaminated ground water resources using health risk assessment and economic analysis through a multi-criteria decision analysis framework. The methodology introduces several important concepts and definitions in decision analysis related to subsurface contamination. These are the trade-off between population risk and individual risk, the trade-off between the residual risk and the cost of risk reduction, and cost-effectiveness as a justification for remediation. The proposed decision analysis framework integrates probabilistic health risk assessment into a comprehensive, yet simple, cost-based multi-criteria decision analysis framework. The methodology focuses on developing decision criteria that provide insight into the common questions of the decision-maker that involve a number of remedial alternatives. The paper then explores three potential approaches for alternative ranking, a structured explicit decision analysis, a heuristic approach of importance of the order of criteria, and a fuzzy logic approach based on fuzzy dominance and similarity analysis. Using formal alternative ranking procedures, the methodology seeks to present a structured decision analysis framework that can be applied consistently across many different and complex remediation settings. A simple numerical example is presented to demonstrate the proposed methodology. The results showed the importance of using an integrated approach for decision-making considering both costs and risks. Future work should focus on the application of the methodology to a variety of complex field conditions to

  12. Multicriteria Analysis of Assembling Buildings from Steel Frame Structures

    Science.gov (United States)

    Miniotaite, Ruta

    2017-10-01

    Steel frame structures are often used in the construction of public and industrial buildings. They are used for: all types of slope roofs; walls of newly-built public and industrial buildings; load bearing structures; roofs of renovated buildings. The process of assembling buildings from steel frame structures should be analysed as an integrated process influenced by such factors as construction materials and machinery used, the qualification level of construction workers, complexity of work, available finance. It is necessary to find a rational technological design solution for assembling buildings from steel frame structures by conducting a multiple criteria analysis. The analysis provides a possibility to evaluate the engineering considerations and find unequivocal solutions. The rational alternative of a complex process of assembling buildings from steel frame structures was found through multiple criteria analysis and multiple criteria evaluation. In multiple criteria evaluation of technological solutions for assembling buildings from steel frame structures by pairwise comparison method the criteria by significance are distributed as follows: durability is the most important criterion in the evaluation of alternatives; the price (EUR/unit of measurement) of a part of assembly process; construction workers’ qualification level (category); mechanization level of a part of assembling process (%), and complexity of assembling work (in points) are less important criteria.

  13. Stochastic Multicriteria Acceptability Analysis for Evaluation of Combined Heat and Power Units

    Directory of Open Access Journals (Sweden)

    Haichao Wang

    2014-12-01

    Full Text Available Combined heat and power (CHP is a promising technology that can contribute to energy efficiency and environmental protection. More CHP-based energy systems are planned for the future. This makes the evaluation and selection of CHP systems very important. In this paper, 16 CHP units representing different technologies are taken into account for multicriteria evaluation with respect to the end users’ requirements. These CHP technologies cover a wide range of power outputs and fuel types. They are evaluated from the energy, economy and environment (3E points of view, specifically including the criteria of efficiency, investment cost, electricity cost, heat cost, CO2 production and footprint. Uncertainties and imprecision are common both in criteria measurements and weights, therefore the stochastic multicriteria acceptability analysis (SMAA model is used in aiding this decision making problem. These uncertainties are treated better using a probability distribution function and Monte Carlo simulation in the model. Moreover, the idea of “feasible weight space (FWS” which represents the union of all preference information from decision makers (DMs is proposed. A complementary judgment matrix (CJM is introduced to determine the FWS. It can be found that the idea of FWS plus CJM is well compatible with SMAA and thus make the evaluation reliable.

  14. Multi-Year Program under Budget Constraints Using Multi-Criteria Analysis

    Directory of Open Access Journals (Sweden)

    Surya Adiguna

    2017-09-01

    Full Text Available Road investment appraisal requires joint consideration of multiple criteria which are related to engineering, economic, social and environmental impacts. The investment consideration could be based on the economic analysis but however for some factors, such as environmental, social, and political, are difficult to quantify in monetary term. The multi-criteria analysis is the alternative tool which caters the requirements of the issues above. The research, which is based on 102 class D and class E paved road sections in Kenya, is about to optimize road network investment under budget constraints by applying a multi-criteria analysis (MCA method and compare it with the conventional economic analysis. The MCA is developed from hierarchy structure which is considered as the analytical framework. The framework is based on selected criteria and weights which are assigned from Kenya road policy. The HDM-4 software is applied as decision-making tool to obtain the best investment alternatives and road work programs from both MCA and economic analysis. The road work programs will be the results from the analysis using both MCA and economic analysis within HDM-4 software to see the difference and compare the results between both programs. The results from MCA show 51 road sections need periodic work, which is overlay or resealing. Meanwhile, 51 others need rehabilitation or reconstruction. The five years road work program which based on economic analysis result shows that it costs almost Kenyan Shilling (KES 130 billion to maintain the class D and E paved road in Kenya. Meanwhile, the MCA only requires KES 59.5 billion for 5 years program. These results show huge margin between two analyses and somehow MCA result provides more efficient work program compared to economic analysis.

  15. Multi-Criteria Analysis for Solar Farm Location Suitability

    Science.gov (United States)

    Mierzwiak, Michal; Calka, Beata

    2017-12-01

    Currently the number of solar farms, as a type of renewable sources of energy, is growing rapidly. Photovoltaic power stations have many advantages, which is an incentive for their building and development. Solar energy is readily available and inexhaustible, and its production is environmentally friendly. In the present study multiple environmental and economic criteria were taken into account to select a potential photovoltaic farm location, with particular emphasis on: protected areas, land cover, solar radiation, slope angle, proximity to roads, built-up areas, and power lines. Advanced data analysis were used because of the multiplicity of criteria and their diverse influence on the choice of a potential location. They included the spatial analysis, the Weighted Linear Combination Technique (WLC), and the Analytic Hierarchy Process (AHP) as a decisionmaking method. The analysis was divided into two stages. In the first one, the areas where the location of solar farms was not possible were excluded. In the second one, the best locations meeting all environmental and economic criteria were selected. The research was conducted for the Legionowo District, using data from national surveying and mapping resources such as: BDOT10k (Database of Topographic Objects), NMT (Numerical Terrain Model), and lands and buildings register. Finally, several areas meeting the criteria were chosen. The research deals with solar farms with up to 40 kW power. The results of the study are presented as thematic maps. The advantage of the method is its versatility. It can be used not only for any area, but with little modification of the criteria, it can also be applied to choose a location for wind farms.

  16. The Use of Multi-Criteria Decision Analysis Weight Elicitation Techniques in Patients with Mild Cognitive Impairment

    NARCIS (Netherlands)

    van Til, Janine Astrid; Dolan, James G.; Stiggelbout, Anne M.; Groothuis-Oudshoorn, Catharina Gerarda Maria; IJzerman, Maarten Joost

    2008-01-01

    Objective: To test the applicability of multi-criteria decision analysis preference elicitation techniques in cognitively impaired individuals. - Method: A convenience sample of 16 cognitively impaired subjects and 12 healthy controls was asked to participate in a small pilot study. The subjects

  17. The Use of Multi-Criteria Decision Analysis Weight Elicitation Techniques in Patients with Mild Cognitive Impairment : A Pilot Study

    NARCIS (Netherlands)

    van Til, Janine A.; Dolan, James G.; Stiggelbout, Anne M.; Groothuis, Karin C.G.M.; IJzerman, Maarten J.

    2008-01-01

    Objective: To test the applicability of multi-criteria decision analysis preference elicitation techniques in cognitively impaired individuals. Method: A convenience sample of 16 cognitively impaired subjects and 12 healthy controls was asked to participate in a small pilot study. The subjects

  18. Non-monetary valuation using Multi-Criteria Decision Analysis: Sensitivity of additive aggregation methods to scaling and compensation assumptions

    Science.gov (United States)

    Analytical methods for Multi-Criteria Decision Analysis (MCDA) support the non-monetary valuation of ecosystem services for environmental decision making. Many published case studies transform ecosystem service outcomes into a common metric and aggregate the outcomes to set land ...

  19. A multi-criteria risk analysis to evaluate impacts of forest management alternatives on forest health in Europe

    NARCIS (Netherlands)

    Jactel, H.; Branco, M.; Duncker, P.; Gardiner, B.; Grodzki, W.; Langström, B.; Moreira, F.; Netherer, S.; Nicoll, B.; Orazio, C.; Piou, D.; Schelhaas, M.J.; Tojic, K.

    2012-01-01

    Due to climate change, forests are likely to face new hazards, which may require adaptation of our existing silvicultural practices. However, it is difficult to imagine a forest management approach that can simultaneously minimize all risks of damage. Multicriteria decision analysis (MCDA) has been

  20. Multi-criteria analysis and systemic planning: Towards a tetra-logical approach to planning and assessment

    DEFF Research Database (Denmark)

    Leleur, Steen

    This paper presents systemic planning (SP) with emphasis on multi-criteria decision analysis (MCDA). Specifically, SP is presented as a “tetra-logical” methodology approach with MCDA as one out of four major method orientations. The Danish-Swedish Øresund Fixed Link is used as application example...

  1. Identifying a preservation zone using multicriteria decision analysis

    Energy Technology Data Exchange (ETDEWEB)

    Farashi, A.; Naderi, M.; Parvian, N.

    2016-07-01

    Zoning of a protected area is an approach to partition landscape into various land use units. The management of these landscape units can reduce conflicts caused by human activities. Tandoreh National Park is one of the most biologically diverse, protected areas in Iran. Although the area is generally designed to protect biodiversity, there are many conflicts between biodiversity conservation and human activities. For instance, the area is highly controversial and has been considered as an impediment to local economic development, such as tourism, grazing, road construction, and cultivation. In order to reduce human conflicts with biodiversity conservation in Tandoreh National Park, safe zones need to be established and human activities need to be moved out of the zones. In this study we used a systematic methodology to integrate a participatory process with Geographic Information Systems (GIS) using a multi–criteria decision analysis (MCDA) technique to guide a zoning scheme for the Tandoreh National Park, Iran. Our results show that the northern and eastern parts of the Tandoreh National Park that were close to rural areas and farmlands returned less desirability for selection as a preservation area. Rocky Mountains were the most important and most destructed areas and abandoned plains were the least important criteria for preservation in the area. Furthermore, the results reveal that the land properties were considered to be important for protection based on the obtaine. (Author)

  2. A Fuzzy Multi-Criteria SWOT Analysis: An Application to Nuclear Power Plant Site Selection

    Directory of Open Access Journals (Sweden)

    Mehmet Ekmekcioglu

    2011-08-01

    Full Text Available SWOT (Strengths, Weaknesses, Opportunities and Threats analysis is a commonly used and an important technique for analyzing internal and external environments in order to provide a systematic approach and support for a decision making. SWOT is criticized mostly for considering only qualitative examination of environmental factors, no priority for various factors and strategies, and no vagueness of the factors under fuzziness. In this paper, fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution integrated with fuzzy AHP (Analytical Hierarchy Process is used to develop fuzzy multi-criteria SWOT analysis in order to overcome these shortcomings. Nuclear power plant site selection, which is a strategic and important issue for Turkeyrs energy policy making, is considered as an application case study that demonstrated the applicability of the developed fuzzy SWOT model.

  3. Selection of Forklift Unit for Warehouse Operation by Applying Multi-Criteria Analysis

    Directory of Open Access Journals (Sweden)

    Predrag Atanasković

    2013-07-01

    Full Text Available This paper presents research related to the choice of the criteria that can be used to perform an optimal selection of the forklift unit for warehouse operation. The analysis has been done with the aim of exploring the requirements and defining relevant criteria that are important when investment decision is made for forklift procurement, and based on the conducted research by applying multi-criteria analysis, to determine the appropriate parameters and their relative weights that form the input data and database for selection of the optimal handling unit. This paper presents an example of choosing the optimal forklift based on the selected criteria for the purpose of making the relevant investment decision.

  4. Analysis of Steel Wire Rope Diagnostic Data Applying Multi-Criteria Methods

    Directory of Open Access Journals (Sweden)

    Audrius Čereška

    2018-02-01

    Full Text Available Steel ropes are complex flexible structures used in many technical applications, such as elevators, cable cars, and funicular cabs. Due to the specific design and critical safety requirements, diagnostics of ropes remains an important issue. Broken wire number in the steel ropes is limited by safety standards when they are used in the human lifting and carrying installations. There are some practical issues on loose wires—firstly, it shows end of lifetime of the entire rope, independently of wear, lubrication or wrong winding on the drums or through pulleys; and, secondly, it can stick in the tight pulley—support gaps and cause deterioration of rope structure up to birdcage formations. Normal rope operation should not generate broken wires, so increasing of their number shows a need for rope installation maintenance. This paper presents a methodology of steel rope diagnostics and the results of analysis using multi-criteria analysis methods. The experimental part of the research was performed using an original test bench to detect broken wires on the rope surface by its vibrations. Diagnostics was performed in the range of frequencies from 60 to 560 Hz with a pitch of 50 Hz. The obtained amplitudes of the broken rope wire vibrations, different from the entire rope surface vibration parameters, was the significant outcome. Later analysis of the obtained experimental results revealed the most significant values of the diagnostic parameters. The evaluation of the power of the diagnostics was implemented by using multi-criteria decision-making (MCDM methods. Various decision-making methods are necessary due to unknown efficiencies with respect to the physical phenomena of the evaluated processes. The significance of the methods was evaluated using objective methods from the structure of the presented data. Some of these methods were proposed by authors of this paper. Implementation of MCDM in diagnostic data analysis and definition of the

  5. A multi-criteria decision analysis assessment of waste paper management options.

    Science.gov (United States)

    Hanan, Deirdre; Burnley, Stephen; Cooke, David

    2013-03-01

    The use of Multi-criteria Decision Analysis (MCDA) was investigated in an exercise using a panel of local residents and stakeholders to assess the options for managing waste paper on the Isle of Wight. Seven recycling, recovery and disposal options were considered by the panel who evaluated each option against seven environmental, financial and social criteria. The panel preferred options where the waste was managed on the island with gasification and recycling achieving the highest scores. Exporting the waste to the English mainland for incineration or landfill proved to be the least preferred options. This research has demonstrated that MCDA is an effective way of involving community groups in waste management decision making. Copyright © 2012 Elsevier Ltd. All rights reserved.

  6. Multi-Criteria Analysis to Prioritize Energy Sources for Ambience in Poultry Production

    Directory of Open Access Journals (Sweden)

    DC Collatto

    Full Text Available ABSTRACT This paper intends to outline a model of multi-criteria analysis to pinpoint the most suitable energy source for heating aviaries in poultry broiler production from the point of view of the farmer and under environmental logic. Therefore, the identification of criteria was enabled through an exploratory study in three poultry broiler production units located in the mountain region of Rio Grande do Sul. In order to identify the energy source, the Analytic Hierarchy Process was applied. The criteria determined and validated in the research contemplated the cost of energy source, leadtime, investment in equipment, energy efficiency, quality of life and environmental impacts. The result of applying the method revealed firewood as the most appropriate energy for heating. The decision support model developed could be replicated in order to strengthen the criteria and energy alternatives presented, besides identifying new criteria and alternatives that were not considered in this study.

  7. Multicriteria Decision Analysis of Material Selection of High Energy Performance Residential Building

    Science.gov (United States)

    Čuláková, Monika; Vilčeková, Silvia; Katunská, Jana; Krídlová Burdová, Eva

    2013-11-01

    In world with limited amount of energy sources and with serious environmental pollution, interest in comparing the environmental embodied impacts of buildings using different structure systems and alternative building materials will be increased. This paper shows the significance of life cycle energy and carbon perspective and the material selection in reducing energy consumption and emissions production in the built environment. The study evaluates embodied environmental impacts of nearly zero energy residential structures. The environmental assessment uses framework of LCA within boundary: cradle to gate. Designed alternative scenarios of material compositions are also assessed in terms of energy effectiveness through selected thermal-physical parameters. This study uses multi-criteria decision analysis for making clearer selection between alternative scenarios. The results of MCDA show that alternative E from materials on nature plant base (wood, straw bales, massive wood panel) present possible way to sustainable perspective of nearly zero energy houses in Slovak republic

  8. Multicriteria analysis to evaluate wave energy converters based on their environmental impact: an Italian case study

    Science.gov (United States)

    Azzellino, Arianna; Contestabile, Pasquale; Lanfredi, Caterina; Vicinanza, Diego

    2010-05-01

    The exploitation of renewable energy resources is fast becoming a key objective in many countries. Countries with coastlines have particularly valuable renewable energy resources in the form of tides, currents, waves and offshore wind. Due to the visual impact of siting large numbers of energy generating devices (eg. wind turbines) in terrestrial landscapes, considerable attention is now being directed towards coastal waters. Due to their environmental sensitivity, the selection of the most adequate location for these systems is a critical factor. Multi-criteria analysis allows to consider a wide variety of key characteristics (e.g. water depth, distance to shore, distance to the electric grid in land, geology, environmental impact) that may be converted into a numerical index of suitability for different WEC devices to different locations. So identifying the best alternative between an offshore or a onshore device may be specifically treated as a multicriteria problem. Special enphasisi should be given in the multicriteria analysis to the environmental impact issues. The wave energy prospective in the Italian seas is relatively low if compared to the other European countries faced to the ocean. Based on the wave climate, the Alghero site, (NW Sardinia, Italy) is one of the most interesting sites for the wave energy perspective (about 10 kW/m). Alghero site is characterized by a high level of marine biodiversity. In 2002 the area northern to Alghero harbour (Capo Caccia-Isola Piana) was established a Marine Protected Area (MPA). It could be discussed for this site how to choose between the onshore/offshore WEC alternative. An offshore device like Wave Dragon (http://www.wavedragon.net/) installed at -65m depth (width=300m and length=170 m) may approximately produce about 3.6 GWh/y with a total cost of about 9,000,000 €. On the other hand, an onshore device like SSG (http://waveenergy.no/), employed as crown wall for a vertical breakwater to enlarge the present

  9. Optimal Selection of Clustering Algorithm via Multi-Criteria Decision Analysis (MCDA for Load Profiling Applications

    Directory of Open Access Journals (Sweden)

    Ioannis P. Panapakidis

    2018-02-01

    Full Text Available Due to high implementation rates of smart meter systems, considerable amount of research is placed in machine learning tools for data handling and information retrieval. A key tool in load data processing is clustering. In recent years, a number of researches have proposed different clustering algorithms in the load profiling field. The present paper provides a methodology for addressing the aforementioned problem through Multi-Criteria Decision Analysis (MCDA and namely, using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS. A comparison of the algorithms is employed. Next, a single test case on the selection of an algorithm is examined. User specific weights are applied and based on these weight values, the optimal algorithm is drawn.

  10. The application of the multi-criteria analysis in evaluating of the road designs

    Directory of Open Access Journals (Sweden)

    Kuzović Ljubiša T.

    2015-01-01

    Full Text Available The analysis of the suitability of applying multi-criteria ranking of road design variants places the emphasis on the danger of fixing the ranking results, by the impact of subjective factors, in the process of determining relevant criteria and their relative weights. This danger is illustrated using two real examples. In the first example, subjective factors did not have a decisive influence since all of the most significant technical exploitation economic and ecological indicators, determined in the appropriate study and project documentation, were taken into account while determining relevant criteria and their relative weights. In the second example, subjective factors had a more decisive influence since all of the most significant technical exploitation economic and ecological indicators, determined in the appropriate study and project documentation, were not taken into account while determining relevant criteria and their relative weights.

  11. Harnessing Ecosystem Models and Multi-Criteria Decision Analysis for the Support of Forest Management

    Science.gov (United States)

    Wolfslehner, Bernhard; Seidl, Rupert

    2010-12-01

    The decision-making environment in forest management (FM) has changed drastically during the last decades. Forest management planning is facing increasing complexity due to a widening portfolio of forest goods and services, a societal demand for a rational, transparent decision process and rising uncertainties concerning future environmental conditions (e.g., climate change). Methodological responses to these challenges include an intensified use of ecosystem models to provide an enriched, quantitative information base for FM planning. Furthermore, multi-criteria methods are increasingly used to amalgamate information, preferences, expert judgments and value expressions, in support of the participatory and communicative dimensions of modern forestry. Although the potential of combining these two approaches has been demonstrated in a number of studies, methodological aspects in interfacing forest ecosystem models (FEM) and multi-criteria decision analysis (MCDA) are scarcely addressed explicitly. In this contribution we review the state of the art in FEM and MCDA in the context of FM planning and highlight some of the crucial issues when combining ecosystem and preference modeling. We discuss issues and requirements in selecting approaches suitable for supporting FM planning problems from the growing body of FEM and MCDA concepts. We furthermore identify two major challenges in a harmonized application of FEM-MCDA: (i) the design and implementation of an indicator-based analysis framework capturing ecological and social aspects and their interactions relevant for the decision process, and (ii) holistic information management that supports consistent use of different information sources, provides meta-information as well as information on uncertainties throughout the planning process.

  12. A Multicriteria Risk Analysis to Evaluate Impacts of Forest Management Alternatives on Forest Health in Europe

    Directory of Open Access Journals (Sweden)

    Hervé Jactel

    2012-12-01

    Full Text Available Due to climate change, forests are likely to face new hazards, which may require adaptation of our existing silvicultural practices. However, it is difficult to imagine a forest management approach that can simultaneously minimize all risks of damage. Multicriteria decision analysis (MCDA has been developed to help decision makers choose between actions that require reaching a compromise among criteria of different weights. We adapted this method and produced a multicriteria risk analysis (MCRA to compare the risk of damage associated with various forest management systems with a range of management intensity. The objective was to evaluate the effect of four forest management alternatives (FMAs (i.e., close to nature, extensive management with combined objectives, intensive even-aged plantations, and short-rotation forestry for biomass production on biotic and abiotic risks of damage in eight regional case studies combining three forest biomes (Boreal, Continental, Atlantic and five tree species (Eucalyptus globulus, Pinus pinaster, Pinus sylvestris, Picea sitchensis, and Picea abies relevant to wood production in Europe. Specific forest susceptibility to a series of abiotic (wind, fire, and snow and biotic (insect pests, pathogenic fungi, and mammal herbivores hazards were defined by expert panels and subsequently weighted by corresponding likelihood. The PROMETHEE ranking method was applied to rank the FMAs from the most to the least at risk. Overall, risk was lower in short-rotation forests designed to produce wood biomass, because of the reduced stand susceptibility to the most damaging hazards. At the opposite end of the management intensity gradient, close-to-nature systems also had low overall risk, due to lower stand value exposed to damage. Intensive even-aged forestry appeared to be subject to the greatest risk, irrespective of tree species and bioclimatic zone. These results seem to be robust as no significant differences in relative

  13. A multi-criteria decision analysis approach to assessing malaria risk in northern South America

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    Temitope O. Alimi

    2016-03-01

    Full Text Available Abstract Background Malaria control in South America has vastly improved in the past decade, leading to a decrease in the malaria burden. Despite the progress, large parts of the continent continue to be at risk of malaria transmission, especially in northern South America. The objectives of this study were to assess the risk of malaria transmission and vector exposure in northern South America using multi-criteria decision analysis. Methods The risk of malaria transmission and vector exposure in northern South America was assessed using multi-criteria decision analysis, in which expert opinions were taken on the key environmental and population risk factors. Results Results from our risk maps indicated areas of moderate-to-high risk along rivers in the Amazon basin, along the coasts of the Guianas, the Pacific coast of Colombia and northern Colombia, in parts of Peru and Bolivia and within the Brazilian Amazon. When validated with occurrence records for malaria, An. darlingi, An. albimanus and An. nuneztovari s.l., t-test results indicated that risk scores at occurrence locations were significantly higher (p < 0.0001 than a control group of geographically random points. Conclusion In this study, we produced risk maps based on expert opinion on the spatial representation of risk of potential vector exposure and malaria transmission. The findings provide information to the public health decision maker/policy makers to give additional attention to the spatial planning of effective vector control measures. Therefore, as the region tackles the challenge of malaria elimination, prioritizing areas for interventions by using spatially accurate, high-resolution (1 km or less risk maps may guide targeted control and help reduce the disease burden in the region.

  14. Adaptation and Evaluation of a Multi-Criteria Decision Analysis Model for Lyme Disease Prevention.

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    Cécile Aenishaenslin

    Full Text Available Designing preventive programs relevant to vector-borne diseases such as Lyme disease (LD can be complex given the need to include multiple issues and perspectives into prioritizing public health actions. A multi-criteria decision aid (MCDA model was previously used to rank interventions for LD prevention in Quebec, Canada, where the disease is emerging. The aim of the current study was to adapt and evaluate the decision model constructed in Quebec under a different epidemiological context, in Switzerland, where LD has been endemic for the last thirty years. The model adaptation was undertaken with a group of Swiss stakeholders using a participatory approach. The PROMETHEE method was used for multi-criteria analysis. Key elements and results of the MCDA model are described and contrasted with the Quebec model. All criteria and most interventions of the MCDA model developed for LD prevention in Quebec were directly transferable to the Swiss context. Four new decision criteria were added, and the list of proposed interventions was modified. Based on the overall group ranking, interventions targeting human populations were prioritized in the Swiss model, with the top ranked action being the implementation of a large communication campaign. The addition of criteria did not significantly alter the intervention rankings, but increased the capacity of the model to discriminate between highest and lowest ranked interventions. The current study suggests that beyond the specificity of the MCDA models developed for Quebec and Switzerland, their general structure captures the fundamental and common issues that characterize the complexity of vector-borne disease prevention. These results should encourage public health organizations to adapt, use and share MCDA models as an effective and functional approach to enable the integration of multiple perspectives and considerations in the prevention and control of complex public health issues such as Lyme disease or

  15. Adaptation and Evaluation of a Multi-Criteria Decision Analysis Model for Lyme Disease Prevention.

    Science.gov (United States)

    Aenishaenslin, Cécile; Gern, Lise; Michel, Pascal; Ravel, André; Hongoh, Valérie; Waaub, Jean-Philippe; Milord, François; Bélanger, Denise

    2015-01-01

    Designing preventive programs relevant to vector-borne diseases such as Lyme disease (LD) can be complex given the need to include multiple issues and perspectives into prioritizing public health actions. A multi-criteria decision aid (MCDA) model was previously used to rank interventions for LD prevention in Quebec, Canada, where the disease is emerging. The aim of the current study was to adapt and evaluate the decision model constructed in Quebec under a different epidemiological context, in Switzerland, where LD has been endemic for the last thirty years. The model adaptation was undertaken with a group of Swiss stakeholders using a participatory approach. The PROMETHEE method was used for multi-criteria analysis. Key elements and results of the MCDA model are described and contrasted with the Quebec model. All criteria and most interventions of the MCDA model developed for LD prevention in Quebec were directly transferable to the Swiss context. Four new decision criteria were added, and the list of proposed interventions was modified. Based on the overall group ranking, interventions targeting human populations were prioritized in the Swiss model, with the top ranked action being the implementation of a large communication campaign. The addition of criteria did not significantly alter the intervention rankings, but increased the capacity of the model to discriminate between highest and lowest ranked interventions. The current study suggests that beyond the specificity of the MCDA models developed for Quebec and Switzerland, their general structure captures the fundamental and common issues that characterize the complexity of vector-borne disease prevention. These results should encourage public health organizations to adapt, use and share MCDA models as an effective and functional approach to enable the integration of multiple perspectives and considerations in the prevention and control of complex public health issues such as Lyme disease or other vector

  16. Selecting essential information for biosurveillance--a multi-criteria decision analysis.

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    Nicholas Generous

    Full Text Available The National Strategy for Biosurveillance defines biosurveillance as "the process of gathering, integrating, interpreting, and communicating essential information related to all-hazards threats or disease activity affecting human, animal, or plant health to achieve early detection and warning, contribute to overall situational awareness of the health aspects of an incident, and to enable better decision-making at all levels." However, the strategy does not specify how "essential information" is to be identified and integrated into the current biosurveillance enterprise, or what the metrics qualify information as being "essential". The question of data stream identification and selection requires a structured methodology that can systematically evaluate the tradeoffs between the many criteria that need to be taken in account. Multi-Attribute Utility Theory, a type of multi-criteria decision analysis, can provide a well-defined, structured approach that can offer solutions to this problem. While the use of Multi-Attribute Utility Theoryas a practical method to apply formal scientific decision theoretical approaches to complex, multi-criteria problems has been demonstrated in a variety of fields, this method has never been applied to decision support in biosurveillance.We have developed a formalized decision support analytic framework that can facilitate identification of "essential information" for use in biosurveillance systems or processes and we offer this framework to the global BSV community as a tool for optimizing the BSV enterprise. To demonstrate utility, we applied the framework to the problem of evaluating data streams for use in an integrated global infectious disease surveillance system.

  17. Selecting essential information for biosurveillance--a multi-criteria decision analysis.

    Science.gov (United States)

    Generous, Nicholas; Margevicius, Kristen J; Taylor-McCabe, Kirsten J; Brown, Mac; Daniel, W Brent; Castro, Lauren; Hengartner, Andrea; Deshpande, Alina

    2014-01-01

    The National Strategy for Biosurveillance defines biosurveillance as "the process of gathering, integrating, interpreting, and communicating essential information related to all-hazards threats or disease activity affecting human, animal, or plant health to achieve early detection and warning, contribute to overall situational awareness of the health aspects of an incident, and to enable better decision-making at all levels." However, the strategy does not specify how "essential information" is to be identified and integrated into the current biosurveillance enterprise, or what the metrics qualify information as being "essential". The question of data stream identification and selection requires a structured methodology that can systematically evaluate the tradeoffs between the many criteria that need to be taken in account. Multi-Attribute Utility Theory, a type of multi-criteria decision analysis, can provide a well-defined, structured approach that can offer solutions to this problem. While the use of Multi-Attribute Utility Theoryas a practical method to apply formal scientific decision theoretical approaches to complex, multi-criteria problems has been demonstrated in a variety of fields, this method has never been applied to decision support in biosurveillance.We have developed a formalized decision support analytic framework that can facilitate identification of "essential information" for use in biosurveillance systems or processes and we offer this framework to the global BSV community as a tool for optimizing the BSV enterprise. To demonstrate utility, we applied the framework to the problem of evaluating data streams for use in an integrated global infectious disease surveillance system.

  18. Integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management

    International Nuclear Information System (INIS)

    Catrinu, M.D.; Nordgard, D.E.

    2011-01-01

    Asset managers in electricity distribution companies generally recognize the need and the challenge of adding structure and a higher degree of formal analysis into the increasingly complex asset management decisions. This implies improving the present asset management practice by making the best use of the available data and expert knowledge and by adopting new methods for risk analysis and decision support and nevertheless better ways to document the decisions made. This paper discusses methods for integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management. The focus is on how to include the different company objectives and risk analyses into a structured decision framework when deciding how to handle the physical assets of the electricity distribution network. This paper presents an illustrative example of decision support for maintenance and reinvestment strategies based, using expert knowledge, simplified risk analyses and multi-criteria decision analysis under uncertainty.

  19. FEASIBILITY ANALYSIS OF NAVAL BASE RELOCATION USING SWOT AND AHP METHOD TO SUPPORT MAIN DUTIES OPERATION

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    Putu Yogi

    2017-11-01

    Full Text Available Naval Base as part of Integrated Fleet Weapon System has an important role in maintaining the strategic environment in the region of Indonesia. Naval Base with a strategic location will support Indonesian Navy’s main duty to carry out the administrative and logistical support. Due to the limitation of Naval Base’s condition, feasibility study will be required to relocate the Naval Base. In this feasibility study, a combination of methods between SWOT analysis and Analytical Hierarchy Process (AHP is used. The results of the Internal Factors Evaluation (IFE Matrix Analysis is 4.72 and External Factors Evaluation (EFE Matrix Analysis is 2.91. In general, the balance of power between the IFE Matrix and EFE Matrix is located in Quadrants I and thus, the Aggressive Strategy is supported. While the Matrix Analysis’ result of Internal - External (IE showed that the score of IFE and EFE located in Quadrant II and VII.

  20. Transmission risk assessment of invasive fluke Fascioloides magna using GIS-modelling and multicriteria analysis methods

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    Juhásová L.

    2017-06-01

    Full Text Available The combination of multicriteria analysis (MCA, particularly analytic hierarchy process (AHP and geographic information system (GIS were applied for transmission risk assessment of Fascioloides magna (Trematoda; Fasciolidae in south-western Slovakia. Based on the details on F. magna life cycle, the following risk factors (RF of parasite transmission were determined: intermediate (RFIH and final hosts (RFFH (biological factors, annual precipitation (RFAP, land use (RFLU, flooded area (RFFA, and annual mean air temperature (RFAT (environmental factors. Two types of risk analyses were modelled: (1 potential risk analysis was focused on the determination of the potential risk of parasite transmission into novel territories (data on F. magna occurrence were excluded; (2 actual risk analysis considered also the summary data on F. magna occurrence in the model region (risk factor parasite occurrence RFPO included in the analysis. The results of the potential risk analysis provided novel distribution pattern and revealed new geographical area as the potential risk zone of F. magna occurrence. Although the actual risk analysis revealed all four risk zones of F. magna transmission (acceptable, moderate, undesirable and unacceptable, its outputs were significantly affected by the data on parasite occurrence what reduced the informative value of the actual transmission risk assessment.

  1. Possibilities of the application of multicriteria analysis and PROMETHEE methods, on an example of aircraft choice

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    Aleksandar Ž. Drenovac

    2012-07-01

    Full Text Available This paper proves that the application of the PROMETHEE method, one of better known methods of multicriteria optimization, can be used as a generalized criterion for many different situations when solving diverse problems and at all levels of the military organization. The decision-making process can be simplified, resulting in a higher level of reliability of decisions of the Ministry of Defence and higher levels of command in Serbian Armed Forces while solving important multicriteria problems above all.

  2. Airports’ Operational Performance and Efficiency Evaluation Based on Multicriteria Decision Analysis (MCDA and Data Envelopment Analysis (DEA Tools

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    João Jardim

    2015-12-01

    Full Text Available Airport benchmarking depends on airports’ operational performance and efficiency indicators, which are important for business agents, operational managers, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports’ performance and efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is twofold: to balance the data envelopment analysis (DEA and multicriteria decision analysis (MCDA tools and to show that airport benchmarking is also possible using a multicriteria decision analysis tool called Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH. Whilst DEA measures the relative performance in the presence of multiple inputs and outputs, MCDA/ MACBETH uses performance and efficiency indicators to support benchmark results, being useful for evaluating the real importance and weight of the selected indicators. The work is structured as follows: first, a state-of-the-art review concerning either airport benchmarking and performance indicators or DEA and MCDA tool techniques; second, an overview of the impacts on airports’ operational performance and efficiency of emergent operational factors (sudden meteorological/natural phenomena; third, two case studies on a set of worldwide airports and Madeira (FNC Airport; and fourth, some insights into and challenges for future research that are still under development.

  3. A comparison of partial order technique with three methods of multi-criteria analysis for ranking of chemical substances.

    Science.gov (United States)

    Lerche, Dorte; Brüggemann, Rainer; Sørensen, Peter; Carlsen, Lars; Nielsen, Ole John

    2002-01-01

    An alternative to the often cumbersome and time-consuming risk assessments of chemical substances could be more reliable and advanced priority setting methods. An elaboration of the simple scoring methods is provided by Hasse Diagram Technique (HDT) and/or Multi-Criteria Analysis (MCA). The present study provides an in depth evaluation of HDT relative to three MCA techniques. The new and main methodological step in the comparison is the use of probability concepts based on mathematical tools such as linear extensions of partially ordered sets and Monte Carlo simulations. A data set consisting of 12 High Production Volume Chemicals (HPVCs) is used for illustration. It is a paradigm in this investigation to claim that the need of external input (often subjective weightings of criteria) should be minimized and that the transparency should be maximized in any multicriteria prioritisation. The study illustrates that the Hasse diagram technique (HDT) needs least external input, is most transparent and is least subjective. However, HDT has some weaknesses if there are criteria which exclude each other. Then weighting is needed. Multi-Criteria Analysis (i.e. Utility Function approach, PROMETHEE and concordance analysis) can deal with such mutual exclusions because their formalisms to quantify preferences allow participation e.g. weighting of criteria. Consequently MCA include more subjectivity and loose transparency. The recommendation which arises from this study is that the first step in decision making is to run HDT and as the second step possibly is to run one of the MCA algorithms.

  4. URBAN RAIN GAUGE SITING SELECTION BASED ON GIS-MULTICRITERIA ANALYSIS

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    Y. Fu

    2016-06-01

    Full Text Available With the increasingly rapid growth of urbanization and climate change, urban rainfall monitoring as well as urban waterlogging has widely been paid attention. In the light of conventional siting selection methods do not take into consideration of geographic surroundings and spatial-temporal scale for the urban rain gauge site selection, this paper primarily aims at finding the appropriate siting selection rules and methods for rain gauge in urban area. Additionally, for optimization gauge location, a spatial decision support system (DSS aided by geographical information system (GIS has been developed. In terms of a series of criteria, the rain gauge optimal site-search problem can be addressed by a multicriteria decision analysis (MCDA. A series of spatial analytical techniques are required for MCDA to identify the prospective sites. With the platform of GIS, using spatial kernel density analysis can reflect the population density; GIS buffer analysis is used to optimize the location with the rain gauge signal transmission character. Experiment results show that the rules and the proposed method are proper for the rain gauge site selection in urban areas, which is significant for the siting selection of urban hydrological facilities and infrastructure, such as water gauge.

  5. Selection of remedial alternatives for mine sites: a multicriteria decision analysis approach.

    Science.gov (United States)

    Betrie, Getnet D; Sadiq, Rehan; Morin, Kevin A; Tesfamariam, Solomon

    2013-04-15

    The selection of remedial alternatives for mine sites is a complex task because it involves multiple criteria and often with conflicting objectives. However, an existing framework used to select remedial alternatives lacks multicriteria decision analysis (MCDA) aids and does not consider uncertainty in the selection of alternatives. The objective of this paper is to improve the existing framework by introducing deterministic and probabilistic MCDA methods. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) methods have been implemented in this study. The MCDA analysis involves processing inputs to the PROMETHEE methods that are identifying the alternatives, defining the criteria, defining the criteria weights using analytical hierarchical process (AHP), defining the probability distribution of criteria weights, and conducting Monte Carlo Simulation (MCS); running the PROMETHEE methods using these inputs; and conducting a sensitivity analysis. A case study was presented to demonstrate the improved framework at a mine site. The results showed that the improved framework provides a reliable way of selecting remedial alternatives as well as quantifying the impact of different criteria on selecting alternatives. Copyright © 2013 Elsevier Ltd. All rights reserved.

  6. Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis

    Science.gov (United States)

    Tang, Zhongqian; Zhang, Hua; Yi, Shanzhen; Xiao, Yangfan

    2018-03-01

    GIS-based multi-criteria decision analysis (MCDA) is increasingly used to support flood risk assessment. However, conventional GIS-MCDA methods fail to adequately represent spatial variability and are accompanied with considerable uncertainty. It is, thus, important to incorporate spatial variability and uncertainty into GIS-based decision analysis procedures. This research develops a spatially explicit, probabilistic GIS-MCDA approach for the delineation of potentially flood susceptible areas. The approach integrates the probabilistic and the local ordered weighted averaging (OWA) methods via Monte Carlo simulation, to take into account the uncertainty related to criteria weights, spatial heterogeneity of preferences and the risk attitude of the analyst. The approach is applied to a pilot study for the Gucheng County, central China, heavily affected by the hazardous 2012 flood. A GIS database of six geomorphological and hydrometeorological factors for the evaluation of susceptibility was created. Moreover, uncertainty and sensitivity analysis were performed to investigate the robustness of the model. The results indicate that the ensemble method improves the robustness of the model outcomes with respect to variation in criteria weights and identifies which criteria weights are most responsible for the variability of model outcomes. Therefore, the proposed approach is an improvement over the conventional deterministic method and can provides a more rational, objective and unbiased tool for flood susceptibility evaluation.

  7. Sustainable energy planning by using multi-criteria analysis application in the island of Crete

    International Nuclear Information System (INIS)

    Tsoutsos, Theocharis; Drandaki, Maria; Frantzeskaki, Niki; Iosifidis, Eleftherios; Kiosses, Ioannis

    2009-01-01

    The sustainable energy planning includes a variety of objectives, as the decision-making is directly related to the processes of analysis and management of different types of information (technological, environmental, economic and social). Very often, the traditional evaluation methods, such as the cost-benefit analysis and macro-economic indicators, are not sufficient to integrate all the elements included in an environmentally thorough energy plan. On the contrary the multiple criteria methods provide a tool, which is more appropriate to assemble and to handle a wide range of variables that is evaluated in different ways and thus offer valid decision support. This paper exploits the multi-criteria methodology for the sustainable energy planning on the island of Crete in Greece. A set of energy planning alternatives are determined upon the implementation of installations of renewable energy sources on the island and are assessed against economic, technical, social and environmental criteria identified by the actors involved in the energy planning arena. The study constitutes an exploratory analysis with the potential to assist decision makers responsible for regional energy planning, providing them the possibility of creating classifications of alternative sustainable energy alternatives.

  8. Multicriteria analysis of agricultural raw materials: A case study of BSBIOS and PETROBRAS BIOFUELS in Brazil

    International Nuclear Information System (INIS)

    Zonin, Valdecir José; Valle Antunes, José Antônio; Pinto Leis, Rodrigo

    2014-01-01

    Energy crises reverberate within societies and encourage worldwide change in this industry. In this context, Brazil has been consolidating the National Program for the Production and Use of Biodiesel (Programa Nacional de Produção e Uso do Biodiesel—PNPB). This article analyzes BSBIOS and PETROBRAS BIOFUELS, which is a company that is incorporated under the PNPB. After providing an overview, the manuscript focuses on the criteria used for the selection of the agricultural raw materials used in the biodiesel industry. A reference model that considered the economic, technological, and social dimensions was developed; these dimensions were analyzed in relation to the production matrices of the soybean, canola, sunflower, and castor plants. The company strategically opted to establish programs for promoting the production of only soybean and canola. In the short term, the company has accepted the evidence that the main source of raw materials is soybean production. This decision was made considering the multicriteria analysis that was developed, which involved a number of economic, technological, and social aspects. Consequently, this analysis used in the decision-making process exhibits both a macro (the national and international environment) and a micro perspective (the companies’ reality). - Highlights: • The economic viability of biodiesel production in Brazil hinges on crop production. • Biodiesel production in Brazil requires developing an efficient production chain. • Oleaginous crops will be diversified by creating a network of suppliers. • Raw material production is diversifying based on an analysis of relevant factors

  9. Use of multicriteria analysis (MCA) for sustainable hydropower planning and management.

    Science.gov (United States)

    Vassoney, Erica; Mammoliti Mochet, Andrea; Comoglio, Claudio

    2017-07-01

    Multicriteria analysis (MCA) is a decision-making tool applied to a wide range of environmental management problems, including renewable energy planning and management. An interesting field of application of MCA is the evaluation and analysis of the conflicting aspects of hydropower (HP) exploitation, affecting the three pillars of sustainability and involving several different stakeholders. The present study was aimed at reviewing the state of the art of MCA applications to sustainable hydropower production and related decision-making problems, based on a detailed analysis of the scientific papers published over the last 15 years on this topic. The papers were analysed and compared, focusing on the specific features of the MCA methods applied in the described case studies, highlighting the general aspects of the MCA application (purpose, spatial scale, software used, stakeholders, etc.) and the specific operational/technical features of the selected MCA technique (methodology, criteria, evaluation, approach, sensitivity, etc.). Some specific limitations of the analysed case studies were identified and a set of "quality indexes" of an exhaustive MCA application were suggested as potential improvements for more effectively support decision-making processes in sustainable HP planning and management problems. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Designing Sustainable Systems for Urban Freight Distribution through techniques of Multicriteria Decision Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Muerza, V.; Larrode, E.; Moreno- Jimenez, J.M.

    2016-07-01

    This paper focuses on the analysis and selection of the parameters that have a major influence on the optimization of the urban freight distribution system by using sustainable means of transport, such as electric vehicles. In addition, a procedure has been be studied to identify the alternatives that may exist to establish the best system for urban freight distribution, which suits the stage that is considered using the most appropriate means of transportation available. To do this, it has been used the Analytic Hierarchy Process, one of the tools of multicriteria decision analysis. In order to establish an adequate planning of an urban freight distribution system using electric vehicles three hypotheses are necessary: (i) it is necessary to establish the strategic planning of the distribution process by defining the relative importance of the strategic objectives of the process of distribution of goods in the urban environment, both economically and technically and in social and environmental terms; (ii) it must be established the operational planning that allows the achievement of the strategic objectives with the most optimized allocation of available resources; and (iii) to determine the optimal architecture of the vehicle that best suits the operating conditions in which it will work and ensures optimum energy efficiency in operation. (Author)

  11. Application of multi-criteria analysis and GIS in ecotourism development (Case study: Serbian Danube region

    Directory of Open Access Journals (Sweden)

    Stojković Sanja

    2015-01-01

    Full Text Available Ecotourism can be defined as responsible travel to natural areas that conserves the environment and cultural heritage and improves the well-being of local people. Sustainable planning and management of ecotourism development are important and necessary for increasing positive and decreasing negative effects on the complex environment. This paper analyses the suitability of selected protected natural areas in the Serbian Danube region for the purposes of ecotourism development. The multi-criteria analysis includes several natural and socio-economic factors and criteria which influence ecotourism development. The integration of Geographic Information System (GIS and Analytic Hierarchy Process (AHP greatly facilitates the decision-making process in the ecotourism destination planning. A suitability map of the analysed protected natural areas for ecotourism development as one of the sustainable tourism types is highlighted as a result of this paper. Such analysis assists in the objective promotion of ecotourism destinations and thus contributes to the improvement of Serbian tourism development. [Projekat Ministarstva nauke Republike Srbije, br. 176008

  12. Nicotine replacement therapy decision based on fuzzy multi-criteria analysis

    Science.gov (United States)

    Tarmudi, Zamali; Matmali, Norfazillah; Abdullah, Mohd Lazim

    2017-08-01

    It has been observed that Nicotine Replacement Therapy (NRT) is one of the alternatives to control and reduce smoking addiction among smokers. Since the decision to choose the best NRT alternative involves uncertainty, ambiguity factors and diverse input datasets, thus, this paper proposes a fuzzy multi-criteria analysis (FMA) to overcome these issues. It focuses on how the fuzzy approach can unify the diversity of datasets based on NRT's decision-making problem. The analysis done employed the advantage of the cost-benefit criterion to unify the mixture of dataset input. The performance matrix was utilised to derive the performance scores. An empirical example regarding the NRT's decision-making problem was employed to illustrate the proposed approach. Based on the calculations, this analytical approach was found to be highly beneficial in terms of usability. It was also very applicable and efficient in dealing with the mixture of input datasets. Hence, the decision-making process can easily be used by experts and patients who are interested to join the therapy/cessation program.

  13. Multi-criteria decision analysis in environmental sciences: ten years of applications and trends.

    Science.gov (United States)

    Huang, Ivy B; Keisler, Jeffrey; Linkov, Igor

    2011-09-01

    Decision-making in environmental projects requires consideration of trade-offs between socio-political, environmental, and economic impacts and is often complicated by various stakeholder views. Multi-criteria decision analysis (MCDA) emerged as a formal methodology to face available technical information and stakeholder values to support decisions in many fields and can be especially valuable in environmental decision making. This study reviews environmental applications of MCDA. Over 300 papers published between 2000 and 2009 reporting MCDA applications in the environmental field were identified through a series of queries in the Web of Science database. The papers were classified by their environmental application area, decision or intervention type. In addition, the papers were also classified by the MCDA methods used in the analysis (analytic hierarchy process, multi-attribute utility theory, and outranking). The results suggest that there is a significant growth in environmental applications of MCDA over the last decade across all environmental application areas. Multiple MCDA tools have been successfully used for environmental applications. Even though the use of the specific methods and tools varies in different application areas and geographic regions, our review of a few papers where several methods were used in parallel with the same problem indicates that recommended course of action does not vary significantly with the method applied. Published by Elsevier B.V.

  14. Strategic rehabilitation planning of piped water networks using multi-criteria decision analysis.

    Science.gov (United States)

    Scholten, Lisa; Scheidegger, Andreas; Reichert, Peter; Maurer, Max; Mauer, Max; Lienert, Judit

    2014-02-01

    To overcome the difficulties of strategic asset management of water distribution networks, a pipe failure and a rehabilitation model are combined to predict the long-term performance of rehabilitation strategies. Bayesian parameter estimation is performed to calibrate the failure and replacement model based on a prior distribution inferred from three large water utilities in Switzerland. Multi-criteria decision analysis (MCDA) and scenario planning build the framework for evaluating 18 strategic rehabilitation alternatives under future uncertainty. Outcomes for three fundamental objectives (low costs, high reliability, and high intergenerational equity) are assessed. Exploitation of stochastic dominance concepts helps to identify twelve non-dominated alternatives and local sensitivity analysis of stakeholder preferences is used to rank them under four scenarios. Strategies with annual replacement of 1.5-2% of the network perform reasonably well under all scenarios. In contrast, the commonly used reactive replacement is not recommendable unless cost is the only relevant objective. Exemplified for a small Swiss water utility, this approach can readily be adapted to support strategic asset management for any utility size and based on objectives and preferences that matter to the respective decision makers. Copyright © 2013 Elsevier Ltd. All rights reserved.

  15. Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production

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    Md Monjurul Islam

    2018-05-01

    Full Text Available The purpose of this research is to develop a land suitability model for rice production based on suitability levels and to propose insurance premiums to obtain maximum returns based on the harvest index and subsidy dependence factor for the marginal and moderately suitable lands in the northern part of Bangladesh. A multicriteria analysis was undertaken and a rice land suitability map was developed using geographical information system and analytical hierarchy process. The analysis identified that 22.74% of the area was highly suitable, while 14.86% was marginally suitable, and 28.54% was moderately suitable for rice production. However, 32.67% of the area, which was occupied by water bodies, rivers, forests, and settlements, is permanently not suitable; 1.19% is presently not suitable. To motivate low-quality land owners to produce rice, there is no alternative but to provide protection through crop insurance. We suggest producing rice up to marginally suitable lands to obtain support from insurance. The minimum coverage is marginal coverage (70% to cover the production costs, while the maximum coverage is high coverage (90% to enable a maximum return. This new crop insurance model, based on land suitability can be a rational support for owners of different quality land to increase production.

  16. Multi-criteria multi-stakeholder decision analysis using a fuzzy-stochastic approach for hydrosystem management

    Science.gov (United States)

    Subagadis, Y. H.; Schütze, N.; Grundmann, J.

    2014-09-01

    The conventional methods used to solve multi-criteria multi-stakeholder problems are less strongly formulated, as they normally incorporate only homogeneous information at a time and suggest aggregating objectives of different decision-makers avoiding water-society interactions. In this contribution, Multi-Criteria Group Decision Analysis (MCGDA) using a fuzzy-stochastic approach has been proposed to rank a set of alternatives in water management decisions incorporating heterogeneous information under uncertainty. The decision making framework takes hydrologically, environmentally, and socio-economically motivated conflicting objectives into consideration. The criteria related to the performance of the physical system are optimized using multi-criteria simulation-based optimization, and fuzzy linguistic quantifiers have been used to evaluate subjective criteria and to assess stakeholders' degree of optimism. The proposed methodology is applied to find effective and robust intervention strategies for the management of a coastal hydrosystem affected by saltwater intrusion due to excessive groundwater extraction for irrigated agriculture and municipal use. Preliminary results show that the MCGDA based on a fuzzy-stochastic approach gives useful support for robust decision-making and is sensitive to the decision makers' degree of optimism.

  17. Multi-criteria multi-stakeholder decision analysis using a fuzzy-stochastic approach for hydrosystem management

    Directory of Open Access Journals (Sweden)

    Y. H. Subagadis

    2014-09-01

    Full Text Available The conventional methods used to solve multi-criteria multi-stakeholder problems are less strongly formulated, as they normally incorporate only homogeneous information at a time and suggest aggregating objectives of different decision-makers avoiding water–society interactions. In this contribution, Multi-Criteria Group Decision Analysis (MCGDA using a fuzzy-stochastic approach has been proposed to rank a set of alternatives in water management decisions incorporating heterogeneous information under uncertainty. The decision making framework takes hydrologically, environmentally, and socio-economically motivated conflicting objectives into consideration. The criteria related to the performance of the physical system are optimized using multi-criteria simulation-based optimization, and fuzzy linguistic quantifiers have been used to evaluate subjective criteria and to assess stakeholders' degree of optimism. The proposed methodology is applied to find effective and robust intervention strategies for the management of a coastal hydrosystem affected by saltwater intrusion due to excessive groundwater extraction for irrigated agriculture and municipal use. Preliminary results show that the MCGDA based on a fuzzy-stochastic approach gives useful support for robust decision-making and is sensitive to the decision makers' degree of optimism.

  18. PATIENT-CENTERED DECISION MAKING: LESSONS FROM MULTI-CRITERIA DECISION ANALYSIS FOR QUANTIFYING PATIENT PREFERENCES.

    Science.gov (United States)

    Marsh, Kevin; Caro, J Jaime; Zaiser, Erica; Heywood, James; Hamed, Alaa

    2018-01-01

    Patient preferences should be a central consideration in healthcare decision making. However, stories of patients challenging regulatory and reimbursement decisions has led to questions on whether patient voices are being considered sufficiently during those decision making processes. This has led some to argue that it is necessary to quantify patient preferences before they can be adequately considered. This study considers the lessons from the use of multi-criteria decision analysis (MCDA) for efforts to quantify patient preferences. It defines MCDA and summarizes the benefits it can provide to decision makers, identifies examples of MCDAs that have involved patients, and summarizes good practice guidelines as they relate to quantifying patient preferences. The guidance developed to support the use of MCDA in healthcare provide some useful considerations for the quantification of patient preferences, namely that researchers should give appropriate consideration to: the heterogeneity of patient preferences, and its relevance to decision makers; the cognitive challenges posed by different elicitation methods; and validity of the results they produce. Furthermore, it is important to consider how the relevance of these considerations varies with the decision being supported. The MCDA literature holds important lessons for how patient preferences should be quantified to support healthcare decision making.

  19. A multi-criteria decision analysis assessment of waste paper management options

    International Nuclear Information System (INIS)

    Hanan, Deirdre; Burnley, Stephen; Cooke, David

    2013-01-01

    Highlights: ► Isolated communities have particular problems in terms of waste management. ► An MCDA tool allowed a group of non-experts to evaluate waste management options. ► The group preferred local waste management solutions to export to the mainland. ► Gasification of paper was the preferred option followed by recycling. ► The group concluded that they could be involved in the decision making process. - Abstract: The use of Multi-criteria Decision Analysis (MCDA) was investigated in an exercise using a panel of local residents and stakeholders to assess the options for managing waste paper on the Isle of Wight. Seven recycling, recovery and disposal options were considered by the panel who evaluated each option against seven environmental, financial and social criteria. The panel preferred options where the waste was managed on the island with gasification and recycling achieving the highest scores. Exporting the waste to the English mainland for incineration or landfill proved to be the least preferred options. This research has demonstrated that MCDA is an effective way of involving community groups in waste management decision making

  20. Multi-criteria decision analysis for waste management in Saharawi refugee camps

    International Nuclear Information System (INIS)

    Garfi, M.; Tondelli, S.; Bonoli, A.

    2009-01-01

    The aim of this paper is to compare different waste management solutions in Saharawi refugee camps (Algeria) and to test the feasibility of a decision-making method developed to be applied in particular conditions in which environmental and social aspects must be considered. It is based on multi criteria analysis, and in particular on the analytic hierarchy process (AHP), a mathematical technique for multi-criteria decision making (Saaty, T.L., 1980. The Analytic Hierarchy Process. McGraw-Hill, New York, USA; Saaty, T.L., 1990. How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research; Saaty, T.L., 1994. Decision Making for Leaders: The Analytic Hierarchy Process in a Complex World. RWS Publications, Pittsburgh, PA), and on participatory approach, focusing on local community's concerns. The research compares four different waste collection and management alternatives: waste collection by using three tipper trucks, disposal and burning in an open area; waste collection by using seven dumpers and disposal in a landfill; waste collection by using seven dumpers and three tipper trucks and disposal in a landfill; waste collection by using three tipper trucks and disposal in a landfill. The results show that the second and the third solutions provide better scenarios for waste management. Furthermore, the discussion of the results points out the multidisciplinarity of the approach, and the equilibrium between social, environmental and technical impacts. This is a very important aspect in a humanitarian and environmental project, confirming the appropriateness of the chosen method.

  1. Geo-spatial multi-criteria analysis for wave energy conversion system deployment

    Energy Technology Data Exchange (ETDEWEB)

    Nobre, Ana; Pacheco, Miguel [Data Centre, Instituto Hidrografico, Portuguese Navy, Rua das Trinas 49, 1249-093 Lisboa (Portugal); Jorge, Raquel; Lopes, M.F.P.; Gato, L.M.C. [IDMEC, Instituto Superior Tecnico, Technical University of Lisbon, Avenida Rovisco Pais 1, 1049-001, Lisboa (Portugal)

    2009-01-15

    The growing requirements for renewable energy production lead to the development of a new series of systems, including wave energy conversion systems. Due to their sensitivity and the impact of the aggressive marine environment, the selection of the most adequate location for these systems is a major and very important task. Several factors, such as technological limitations, environmental conditions, administrative and logistic conditions, have to be taken into account in order to support the decision for best location. This paper describes a geo-spatial multi-criteria analysis methodology, based on geographic information systems technology, for identification of the best location to deploy a wave energy farm. This methodology is not conversion system dependent and therefore can be easily customized for different systems and implementation conditions. Selection factors can include, for example, ocean depth, sea bottom type, existing underwater cables, marine protected areas, ports location, shoreline, power grid location, military exercise areas, climatology of wave significant height, period and power. A case study demonstrating this methodology is presented, for an area offshore the Portuguese southwest coast. The system output allows a clear differential identification of the best spots for implementing a wave energy farm. It is not just a simple Boolean result showing valid and invalid locations, but a layer with a valued suitability for farm deployment. (author)

  2. Geo-Spatial Multi-criteria Analysis for Wave Energy System Deployment

    Energy Technology Data Exchange (ETDEWEB)

    Nobre, Ana; Pacheco, Miguel (Instituto Hidrografico, Rua das Trinas, 49, Lisboa (PT)); Jorge, Raquel Lopes, M. F. P.; Gato, L. M. C. (IDMEC, Instituto Superior Tecnico, Technical University of Lisbon, Av. Rovisco Pais, Lisboa (PT))

    2007-07-01

    The growing requirements for renewable energy production lead to the development of a new series of systems, including wave energy conversion systems. Due to their sensitivity and the impact of the aggressive marine environment, the selection of the most adequate location for these systems is a major and very important task. Several factors, such as technological limitations, environmental conditions, administrative and logistic conditions, have to be taken into account in order to support the decision for best location. This paper describes a geo-spatial multi-criteria analysis methodology, based on geographic information systems technology, for selection of the best location to deploy a wave energy farm. This methodology is not conversion system dependent and therefore can be easily customized for different systems and conditions. Selection factors can include, for example, ocean depth, bottom type, underwater cables, marine protected areas, ports location, shoreline, power grid location, military exercise areas, climatology of wave significant height, period and direction. A case study demonstrating this methodology is presented, for an area offshore the Portuguese southwest coast. The system output allows a clear identification of the best spots for a wave energy farm. It is not just a simple Boolean result showing valid and invalid locations, but a layer with a graded suitability for farm deployment.

  3. Multi-criteria decision analysis of concentrated solar power with thermal energy storage and dry cooling.

    Science.gov (United States)

    Klein, Sharon J W

    2013-12-17

    Decisions about energy backup and cooling options for parabolic trough (PT) concentrated solar power have technical, economic, and environmental implications. Although PT development has increased rapidly in recent years, energy policies do not address backup or cooling option requirements, and very few studies directly compare the diverse implications of these options. This is the first study to compare the annual capacity factor, levelized cost of energy (LCOE), water consumption, land use, and life cycle greenhouse gas (GHG) emissions of PT with different backup options (minimal backup (MB), thermal energy storage (TES), and fossil fuel backup (FF)) and different cooling options (wet (WC) and dry (DC). Multicriteria decision analysis was used with five preference scenarios to identify the highest-scoring energy backup-cooling combination for each preference scenario. MB-WC had the highest score in the Economic and Climate Change-Economy scenarios, while FF-DC and FF-WC had the highest scores in the Equal and Availability scenarios, respectively. TES-DC had the highest score for the Environmental scenario. DC was ranked 1-3 in all preference scenarios. Direct comparisons between GHG emissions and LCOE and between GHG emissions and land use suggest a preference for TES if backup is require for PT plants to compete with baseload generators.

  4. Integrating Stakeholder Preferences and GIS-Based Multicriteria Analysis to Identify Forest Landscape Restoration Priorities

    Directory of Open Access Journals (Sweden)

    David Uribe

    2014-02-01

    Full Text Available A pressing question that arises during the planning of an ecological restoration process is: where to restore first? Answering this question is a complex task; it requires a multidimensional approach to consider economic constrains and the preferences of stakeholders. Being the problem of spatial nature, it may be explored effectively through Multicriteria Decision Analysis (MCDA performed in a Geographical Information System (GIS environment. The proposed approach is based on the definition and weighting of multiple criteria for evaluating land suitability. An MCDA-based methodology was used to identify priority areas for Forest Landscape Restoration in the Upper Mixtec region, Oaxaca (Mexico, one of the most degraded areas of Latin America. Socioeconomic and environmental criteria were selected and evaluated. The opinions of four different stakeholder groups were considered: general public, academic, Non-governmental organizations (NGOs and governmental officers. The preferences of these groups were spatially modeled to identify their priorities. The final result was a map that identifies the most preferable sites for restoration, where resources and efforts should be concentrated. MCDA proved to be a very useful tool in collective planning, when alternative sites have to be identified and prioritized to guide the restoration work.

  5. MULTICRITERIA HYBRID FLOW SHOP SCHEDULING PROBLEM: LITERATURE REVIEW, ANALYSIS, AND FUTURE RESEARCH

    Directory of Open Access Journals (Sweden)

    Marcia de Fatima Morais

    2014-12-01

    Full Text Available This research focuses on the Hybrid Flow Shop production scheduling problem, which is one of the most difficult problems to solve. The literature points to several studies that focus the Hybrid Flow Shop scheduling problem with monocriteria functions. Despite of the fact that, many real world problems involve several objective functions, they can often compete and conflict, leading researchers to concentrate direct their efforts on the development of methods that take consider this variant into consideration. The goal of the study is to review and analyze the methods in order to solve the Hybrid Flow Shop production scheduling problem with multicriteria functions in the literature. The analyses were performed using several papers that have been published over the years, also the parallel machines types, the approach used to develop solution methods, the type of method develop, the objective function, the performance criterion adopted, and the additional constraints considered. The results of the reviewing and analysis of 46 papers showed opportunities for future research on this topic, including the following: (i use uniform and dedicated parallel machines, (ii use exact and metaheuristics approaches, (iv develop lower and uppers bounds, relations of dominance and different search strategies to improve the computational time of the exact methods,  (v develop  other types of metaheuristic, (vi work with anticipatory setups, and (vii add constraints faced by the production systems itself.

  6. A multi-criteria decision analysis assessment of waste paper management options

    Energy Technology Data Exchange (ETDEWEB)

    Hanan, Deirdre [Department of Design, Development, Environment and Materials, The Open University, Walton Hall, Milton Keynes, MK7 6AA (United Kingdom); Burnley, Stephen, E-mail: s.j.burnley@open.ac.uk [Department of Design, Development, Environment and Materials, The Open University, Walton Hall, Milton Keynes, MK7 6AA (United Kingdom); Cooke, David [Department of Design, Development, Environment and Materials, The Open University, Walton Hall, Milton Keynes, MK7 6AA (United Kingdom)

    2013-03-15

    Highlights: ► Isolated communities have particular problems in terms of waste management. ► An MCDA tool allowed a group of non-experts to evaluate waste management options. ► The group preferred local waste management solutions to export to the mainland. ► Gasification of paper was the preferred option followed by recycling. ► The group concluded that they could be involved in the decision making process. - Abstract: The use of Multi-criteria Decision Analysis (MCDA) was investigated in an exercise using a panel of local residents and stakeholders to assess the options for managing waste paper on the Isle of Wight. Seven recycling, recovery and disposal options were considered by the panel who evaluated each option against seven environmental, financial and social criteria. The panel preferred options where the waste was managed on the island with gasification and recycling achieving the highest scores. Exporting the waste to the English mainland for incineration or landfill proved to be the least preferred options. This research has demonstrated that MCDA is an effective way of involving community groups in waste management decision making.

  7. Multi-criteria Decision Analysis to Model Ixodes ricinus Habitat Suitability.

    Science.gov (United States)

    Rousseau, Raphaël; McGrath, Guy; McMahon, Barry J; Vanwambeke, Sophie O

    2017-09-01

    Tick-borne diseases present a major threat to both human and livestock health throughout Europe. The risk of infection is directly related to the presence of its vector. Thereby it is important to know their distribution, which is strongly associated with environmental factors: the presence and availability of a suitable habitat, of a suitable climate and of hosts. The present study models the habitat suitability for Ixodes ricinus in Ireland, where data on tick distribution are scarce. Tick habitat suitability was estimated at a coarse scale (10 km) with a multi-criteria decision analysis (MCDA) method according to four different scenarios (depending on the variables used and on the weights granted to each of them). The western part of Ireland and the Wicklow mountains in the East were estimated to be the most suitable areas for I. ricinus in the island. There was a good level of agreement between results from the MCDA and recorded tick presence. The different scenarios did not affect the spatial outputs substantially. The current study suggests that tick habitat suitability can be mapped accurately at a coarse scale in a data-scarce context using knowledge-based methods. It can serve as a guideline for future countrywide sampling that would help to determine local risk of tick presence and refining knowledge on tick habitat suitability in Ireland.

  8. A multi-criteria decision analysis of management alternatives for anaerobically digested kraft pulp mill sludge.

    Directory of Open Access Journals (Sweden)

    Martijn Eikelboom

    Full Text Available The Multi-Criteria Decision Analysis (MCDA procedure was used to compare waste management options for kraft pulp mill sludge following its anaerobic digestion. Anaerobic digestion of sludge is advantageous because it produces biogas that may be used to generate electricity, heat and biofuels. However, adequate management of the digested sludge is essential. Landfill disposal is a non-sustainable waste management alternative. Kraft pulp mill digested sludge applied to land may pose risks to the environment and public health if the sludge has not been properly treated. This study is aimed to compare several recycling alternatives for anaerobically digested sludge from kraft pulp mills: land application, landfill disposal, composting, incineration, pyrolysis/gasification, and biofuel production by algae. The MCDA procedure considered nine criteria into three domains to compare digested sludge recycling alternatives in a kraft pulp mill: environmental (CO2 emission, exposure to pathogens, risk of pollution, material and energy recovery, economic (overall costs, value of products and technical (maintenance and operation, feasibility of implementation. The most suitable management options for digested sludge from kraft pulp mills were found to be composting and incineration (when the latter was coupled with recycling ash to the cement industry. Landfill disposal was the worst option, presenting low performance in feasibility of implementation, risk of pollution, material and energy recovery.

  9. Transdisciplinary Evaluation of Energy Scenarios for a German Village Using Multi-Criteria Decision Analysis

    Directory of Open Access Journals (Sweden)

    Peter Schmuck

    2012-04-01

    Full Text Available Multi-Criteria Decision Analysis (MCDA can assist local decision processes towards selecting renewable energy systems as it is able to manage qualitative data and offers opportunities to integrate knowledge from local stakeholders. However, little experience is available regarding practical applications of MCDA in real decision processes in communities on their path towards a renewable energy supply. Within the “Bioenergy-Region Ludwigsfelde” project, an MCDA evaluation has been applied to a small village on its way to becoming a “bioenergy village”. Here, MCDA has been combined with already established tools accompanying the process to becoming a “bioenergy village”, such as planning workshops, citizens’ meetings and best-practice trips. A comprehensive set of sustainability criteria was applied aimed at addressing the questions of local actors. An emphasis was placed on social criteria that comprise the perceived values of local impacts. In general, it was observed that MCDA provides many benefits for this application context. In particular, the group weighting using the SIMOS method demonstrated good results in the process. However, for real-world applications of MCDA, the challenge of data compilation in particular must be addressed.

  10. Multi-Criteria Decision Analysis for an Abandoned Quarry in the Evros Region (NE Greece

    Directory of Open Access Journals (Sweden)

    Sapfo Τsolaki-Fiaka

    2018-04-01

    Full Text Available The purpose of this study is to identify the impacts of abandoned quarries and to examine scenarios for their restoration. Two quarries were selected as case studies, which are located in the Evros Region (NE Greece. Initially, the current state of the abandoned quarries was recorded and evaluated, including slopes, landscape, land use, as well as cultural elements. Four alterative scenarios for the exploitation of each quarry were proposed, taking into account the specifics of each site. Financial, environmental, and socioeconomic criteria were then used to evaluate these scenarios. The PROMETHEE method is a multi-criteria decision analysis approach and was applied to rank the alterative scenarios. The results show that the “do nothing” scenario is the worst solution for both quarries. In the quarry at Αsvestades, the restoration of the area by returning the land to pre-quarry use with the shaping of the slopes and planting is considered the best solution. On the other hand, in the quarry Mikro Derio two scenarios are proposed; one provides restoring the site to its pre-quarry land use and the other is the restoration of the quarry combined with the creation of a wildlife observatory and places for alternative forms of tourism.

  11. Multi-Criteria Analysis of Electricity Generation Scenarios for Sustainable Energy Planning in Pakistan

    Directory of Open Access Journals (Sweden)

    Nayyar Hussain Mirjat

    2018-03-01

    Full Text Available The now over a decade-long electricity crisis in Pakistan has adversely affected the socio-economic development of the country. This situation is mainly due to a lack of sustainable energy planning and policy formulation. In this context, energy models can be of great help but only a handful of such efforts have been undertaken in Pakistan. Two key shortcomings pertaining to energy models lead to their low utilization in developing countries. First, the models do not effectively make decisions, but rather provide a set of alternatives based on modeling parameters; and secondly, the complexity of these models is often poorly understood by the decision makers. As such, in this study, the Analytical Hierarchy Process (AHP methodology of Multi-Criteria Decision-Making (MCDM has been used for the sustainability assessment of energy modeling results for long-term electricity planning. The four scenario alternatives developed in the energy modeling effort, Reference (REF, Renewable Energy Technologies (RET, Clean Coal Maximum (CCM and Energy Efficiency and Conservation (EEC, have been ranked using the Expert Choice® tool based on the AHP methodology. The AHP decision support framework of this study revealed the EEC scenario as the most favorable electricity generation scenario followed by the REF, RET and CCM scenarios. Besides that, this study proposes policy recommendations to undertake integrated energy modeling and decision analysis for sustainable energy planning in Pakistan.

  12. A multi-criteria decision analysis of management alternatives for anaerobically digested kraft pulp mill sludge

    Science.gov (United States)

    Eikelboom, Martijn; Lopes, Alice do Carmo Precci; Silva, Claudio Mudadu; Rodrigues, Fábio de Ávila; Zanuncio, José Cola

    2018-01-01

    The Multi-Criteria Decision Analysis (MCDA) procedure was used to compare waste management options for kraft pulp mill sludge following its anaerobic digestion. Anaerobic digestion of sludge is advantageous because it produces biogas that may be used to generate electricity, heat and biofuels. However, adequate management of the digested sludge is essential. Landfill disposal is a non-sustainable waste management alternative. Kraft pulp mill digested sludge applied to land may pose risks to the environment and public health if the sludge has not been properly treated. This study is aimed to compare several recycling alternatives for anaerobically digested sludge from kraft pulp mills: land application, landfill disposal, composting, incineration, pyrolysis/gasification, and biofuel production by algae. The MCDA procedure considered nine criteria into three domains to compare digested sludge recycling alternatives in a kraft pulp mill: environmental (CO2 emission, exposure to pathogens, risk of pollution, material and energy recovery), economic (overall costs, value of products) and technical (maintenance and operation, feasibility of implementation). The most suitable management options for digested sludge from kraft pulp mills were found to be composting and incineration (when the latter was coupled with recycling ash to the cement industry). Landfill disposal was the worst option, presenting low performance in feasibility of implementation, risk of pollution, material and energy recovery. PMID:29298296

  13. Multi-criteria decision analysis and environmental risk assessment for nanomaterials

    International Nuclear Information System (INIS)

    Linkov, Igor; Satterstrom, F. Kyle; Steevens, Jeffery; Ferguson, Elizabeth; Pleus, Richard C.

    2007-01-01

    Nanotechnology is a broad and complex discipline that holds great promise for innovations that can benefit mankind. Yet, one must not overlook the wide array of factors involved in managing nanomaterial development, ranging from the technical specifications of the material to possible adverse effects in humans. Other opportunities to evaluate benefits and risks are inherent in environmental health and safety (EHS) issues related to nanotechnology. However, there is currently no structured approach for making justifiable and transparent decisions with explicit trade-offs between the many factors that need to be taken into account. While many possible decision-making approaches exist, we believe that multi-criteria decision analysis (MCDA) is a powerful and scientifically sound decision analytical framework for nanomaterial risk assessment and management. This paper combines state-of-the-art research in MCDA methods applicable to nanotechnology with a hypothetical case study for nanomaterial management. The example shows how MCDA application can balance societal benefits against unintended side effects and risks, and how it can also bring together multiple lines of evidence to estimate the likely toxicity and risk of nanomaterials given limited information on physical and chemical properties. The essential contribution of MCDA is to link this performance information with decision criteria and weightings elicited from scientists and managers, allowing visualization and quantification of the trade-offs involved in the decision-making process

  14. Multi-criteria decision analysis and environmental risk assessment for nanomaterials

    Science.gov (United States)

    Linkov, Igor; Satterstrom, F. Kyle; Steevens, Jeffery; Ferguson, Elizabeth; Pleus, Richard C.

    2007-08-01

    Nanotechnology is a broad and complex discipline that holds great promise for innovations that can benefit mankind. Yet, one must not overlook the wide array of factors involved in managing nanomaterial development, ranging from the technical specifications of the material to possible adverse effects in humans. Other opportunities to evaluate benefits and risks are inherent in environmental health and safety (EHS) issues related to nanotechnology. However, there is currently no structured approach for making justifiable and transparent decisions with explicit trade-offs between the many factors that need to be taken into account. While many possible decision-making approaches exist, we believe that multi-criteria decision analysis (MCDA) is a powerful and scientifically sound decision analytical framework for nanomaterial risk assessment and management. This paper combines state-of-the-art research in MCDA methods applicable to nanotechnology with a hypothetical case study for nanomaterial management. The example shows how MCDA application can balance societal benefits against unintended side effects and risks, and how it can also bring together multiple lines of evidence to estimate the likely toxicity and risk of nanomaterials given limited information on physical and chemical properties. The essential contribution of MCDA is to link this performance information with decision criteria and weightings elicited from scientists and managers, allowing visualization and quantification of the trade-offs involved in the decision-making process.

  15. Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis

    Science.gov (United States)

    Ahmadalipour, Ali; Rana, Arun; Moradkhani, Hamid; Sharma, Ashish

    2017-04-01

    Climate change is expected to have severe impacts on global hydrological cycle along with food-water-energy nexus. Currently, there are many climate models used in predicting important climatic variables. Though there have been advances in the field, there are still many problems to be resolved related to reliability, uncertainty, and computing needs, among many others. In the present work, we have analyzed performance of 20 different global climate models (GCMs) from Climate Model Intercomparison Project Phase 5 (CMIP5) dataset over the Columbia River Basin (CRB) in the Pacific Northwest USA. We demonstrate a statistical multicriteria approach, using univariate and multivariate techniques, for selecting suitable GCMs to be used for climate change impact analysis in the region. Univariate methods includes mean, standard deviation, coefficient of variation, relative change (variability), Mann-Kendall test, and Kolmogorov-Smirnov test (KS-test); whereas multivariate methods used were principal component analysis (PCA), singular value decomposition (SVD), canonical correlation analysis (CCA), and cluster analysis. The analysis is performed on raw GCM data, i.e., before bias correction, for precipitation and temperature climatic variables for all the 20 models to capture the reliability and nature of the particular model at regional scale. The analysis is based on spatially averaged datasets of GCMs and observation for the period of 1970 to 2000. Ranking is provided to each of the GCMs based on the performance evaluated against gridded observational data on various temporal scales (daily, monthly, and seasonal). Results have provided insight into each of the methods and various statistical properties addressed by them employed in ranking GCMs. Further; evaluation was also performed for raw GCM simulations against different sets of gridded observational dataset in the area.

  16. An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping

    Science.gov (United States)

    Feizizadeh, Bakhtiar; Blaschke, Thomas

    2014-01-01

    GIS-based multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping. However, the uncertainties that are associated with MCDA techniques may significantly impact the results. This may sometimes lead to inaccurate outcomes and undesirable consequences. This article introduces a new GIS-based MCDA approach. We illustrate the consequences of applying different MCDA methods within a decision-making process through uncertainty analysis. Three GIS-MCDA methods in conjunction with Monte Carlo simulation (MCS) and Dempster–Shafer theory are analyzed for landslide susceptibility mapping (LSM) in the Urmia lake basin in Iran, which is highly susceptible to landslide hazards. The methodology comprises three stages. First, the LSM criteria are ranked and a sensitivity analysis is implemented to simulate error propagation based on the MCS. The resulting weights are expressed through probability density functions. Accordingly, within the second stage, three MCDA methods, namely analytical hierarchy process (AHP), weighted linear combination (WLC) and ordered weighted average (OWA), are used to produce the landslide susceptibility maps. In the third stage, accuracy assessments are carried out and the uncertainties of the different results are measured. We compare the accuracies of the three MCDA methods based on (1) the Dempster–Shafer theory and (2) a validation of the results using an inventory of known landslides and their respective coverage based on object-based image analysis of IRS-ID satellite images. The results of this study reveal that through the integration of GIS and MCDA models, it is possible to identify strategies for choosing an appropriate method for LSM. Furthermore, our findings indicate that the integration of MCDA and MCS can significantly improve the accuracy of the results. In LSM, the AHP method performed best, while the OWA reveals better performance in the reliability assessment. The WLC

  17. Multicriteria decision analysis in ranking of analytical procedures for aldrin determination in water.

    Science.gov (United States)

    Tobiszewski, Marek; Orłowski, Aleksander

    2015-03-27

    The study presents the possibility of multi-criteria decision analysis (MCDA) application when choosing analytical procedures with low environmental impact. A type of MCDA, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), was chosen as versatile tool that meets all the analytical chemists--decision makers requirements. Twenty five analytical procedures for aldrin determination in water samples (as an example) were selected as input alternatives to MCDA analysis. Nine different criteria describing the alternatives were chosen from different groups--metrological, economical and the most importantly--environmental impact. The weights for each criterion were obtained from questionnaires that were sent to experts, giving three different scenarios for MCDA results. The results of analysis show that PROMETHEE is very promising tool to choose the analytical procedure with respect to its greenness. The rankings for all three scenarios placed solid phase microextraction and liquid phase microextraction--based procedures high, while liquid-liquid extraction, solid phase extraction and stir bar sorptive extraction--based procedures were placed low in the ranking. The results show that although some of the experts do not intentionally choose green analytical chemistry procedures, their MCDA choice is in accordance with green chemistry principles. The PROMETHEE ranking results were compared with more widely accepted green analytical chemistry tools--NEMI and Eco-Scale. As PROMETHEE involved more different factors than NEMI, the assessment results were only weakly correlated. Oppositely, the results of Eco-Scale assessment were well-correlated as both methodologies involved similar criteria of assessment. Copyright © 2015 Elsevier B.V. All rights reserved.

  18. Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis

    Directory of Open Access Journals (Sweden)

    Mostafa Shaaban

    2018-05-01

    Full Text Available Future electricity planning necessitates a thorough multi-faceted analysis of the available technologies in order to secure the energy supply for coming generations. To cope with worldwide concerns over sustainable development and meet the growing demands of electricity we assess the future potential technologies in Egypt through covering their technical, economic, environmental and social aspects. In this study we fill the gap of a lacking sustainability assessment of energy systems in Egypt where most of the studies focus mainly on the economic and technical aspects of planning future installation of power plants in Egypt. Furthermore, we include the stakeholder preferences of the indicators in the energy sector into our assessment. Moreover, we perform a sensitivity analysis through single dimension assessment scenarios of the technologies as well as a sustainable scenario with equal preferences of all dimensions of the sustainability. We employ two multi-criteria decision analysis (MCDA methodologies: the analytical hierarchy process for weighing the assessment criteria, and the weighted sum method for generating a general integrated sustainability index for each technology. The study investigates seven technologies: coal, natural gas, wind, concentrated solar power, photovoltaics, biomass and nuclear. The results reveal a perfect matching between the ranking of the technologies by the stakeholders and the sustainable scenario showing the highest ranking for natural gas and the lowest for nuclear and coal. There is a strong potential for renewable energy technologies to invade the electricity market in Egypt where they achieve the second ranking after natural gas. The Monte-Carlo approach gives photovoltaics a higher ranking over concentrated solar power as compared to the sample data ranking. The study concludes the importance of a multi-dimensional evaluation of the technologies while considering the preferences of the stakeholders in

  19. Multicriteria Analysis model for the comparison of different rockfalls protection devices

    Science.gov (United States)

    Mignelli, C.; Pomarico, S.; Peila, D.

    2012-04-01

    In mountain regions roads and railways as well as urbanized areas, can often be endangered by rockfalls and need to be protected against the impact of falling blocks. The effects of rockfall events can be the damage of road, vehicles, injuries or death of drivers or passengers and economic loss due to road closure. The cost of a single car accident can be significant since it can involve the hospitalization of the driver and passengers, the repair of the vehicle, the legal costs and compensation. The public administrations must manage the roads in order to protect the areas at risk and therefore make choices that take into account both technical and social aspects. The fulfillment of safety requirements for routes in mountainside areas is therefore a multidimensional concept that includes socio-economic, environmental, technical and ethical perspectives and thus leads to issue that are characterized simultaneously by a high degree of conflict, complexity and uncertainty. Multicriteria Analysis (MCA) is an adequate approach that can deal with these kind of issues. It behaves as an umbrella term since it includes a large series of evaluation techniques able to take into explicit consideration simultaneously several criteria, in order to support the Decision Maker through a rational approach to make a comparative assessment of alternative projects. A very large and consolidated amount of MCA literature exists, in which it is possible to find a wide range of techniques and application fields such as waste management, transport infrastructures, strategic policy planning, environmental impact assessment of territorial transformations, market and logistics, economics and finance, industrial management and civil engineering. This paper address the problem of rockfall risk induced on a road using the Analytic Hierarchy Process (AHP), a Multicriteria Analysis technique suitable for dealing with complex problems related to making a choice from among several alternatives and

  20. The impact of expert knowledge on natural hazard susceptibility assessment using spatial multi-criteria analysis

    Science.gov (United States)

    Karlsson, Caroline; Kalantari, Zahra; Mörtberg, Ulla; Olofsson, Bo; Lyon, Steve

    2016-04-01

    Road and railway networks are one of the key factors to a country's economic growth. Inadequate infrastructural networks could be detrimental to a society if the transport between locations are hindered or delayed. Logistical hindrances can often be avoided whereas natural hindrances are more difficult to control. One natural hindrance that can have a severe adverse effect on both infrastructure and society is flooding. Intense and heavy rainfall events can trigger other natural hazards such as landslides and debris flow. Disruptions caused by landslides are similar to that of floods and increase the maintenance cost considerably. The effect on society by natural disasters is likely to increase due to a changed climate with increasing precipitation. Therefore, there is a need for risk prevention and mitigation of natural hazards. Determining susceptible areas and incorporating them in the decision process may reduce the infrastructural harm. Spatial multi-criteria analysis (SMCA) is a part of decision analysis, which provides a set of procedures for analysing complex decision problems through a Geographic Information System (GIS). The objective and aim of this study was to evaluate the usefulness of expert judgements for inundation, landslide and debris flow susceptibility assessments through a SMCA approach using hydrological, geological and land use factors. The sensitivity of the SMCA model was tested in relation to each perspective and impact on the resulting susceptibility. A least cost path function was used to compare new alternative road lines with the existing ones. This comparison was undertaken to identify the resulting differences in the susceptibility assessments using expert judgements as well as historic incidences of flooding and landslides in order to discuss the usefulness of the model in road planning.

  1. Multi-criteria decision analysis of energy system transformation pathways: A case study for Switzerland

    International Nuclear Information System (INIS)

    Volkart, Kathrin; Weidmann, Nicolas; Bauer, Christian; Hirschberg, Stefan

    2017-01-01

    Two recent political decisions are expected to frame the development of the Swiss energy system in the coming decades: the nuclear phase-out and the greenhouse gas (GHG) emission reduction target. To accomplish both of them, low-carbon technologies based on renewable energy and Carbon Capture and Storage (CCS) are expected to gain importance. The objective of the present work is to support prospective Swiss energy policy-making by providing a detailed sustainability analysis of possible energy system transformation pathways. For this purpose, the results of the scenario quantification with an energy system model are coupled with multi-criteria sustainability analysis. Two climate protection and one reference scenario are addressed, and the trade-offs between the scenarios are analysed based on a set of 12 interdisciplinary indicators. Implementing a stringent climate policy in Switzerland is associated with co-benefits such as less fossil resource use, less fatalities in severe accidents in the energy sector, less societal conflicts and higher resource autonomy. The availability and implementation of CCS allows for achieving the GHG emission reduction target at lower costs, but at the expense of a more fossil fuel-based energy system. - Highlights: • Three energy system transformation pathways for Switzerland are analysed. • A set of policy-relevant sustainability indicators are quantified for each pathway. • Implementing a stringent climate policy in Switzerland is associated with co-benefits. • In the CCS scenario fossil fuel use increases, but the total system costs are lower. • Fossil-fuelled transport substantially contributes to most of the addressed criteria.

  2. Value of multi-criteria decision analysis in early assessment of medical diagnostic devices

    NARCIS (Netherlands)

    IJzerman, Maarten Joost; Hummel, J. Marjan

    2010-01-01

    OBJECTIVES: Multicriteria decision analytic (MCDA) techniques are a powerful tool in evaluating health care interventions where multiple, often competing, factors need to be considered. The analytic hierarchy process (AHP) is one such technique. We have applied AHP to evaluate medical diagnostic

  3. Parametric Importance of Criteria and Intervals of Value Tradeoff Uncertainty in the Analysis of Multicriteria Problems

    NARCIS (Netherlands)

    Podinovski, V. V.

    2008-01-01

    Multicriteria decision-making problems under bounded ( above, below, or from both sides) continuous or discrete criteria are considered. Methods for comparing variants of solutions using the information accumulated in the form of interval estimates of replacing the values of some criteria by the

  4. Return or relocate? An inductive analysis of decision-making in a disaster.

    Science.gov (United States)

    Henry, Jacques

    2013-04-01

    This paper proposes an inductive analysis of the decision as to whether to return or to relocate by persons in the State of Louisiana, United States, who evacuated after Hurricanes Katrina and Rita in August and September 2005, respectively. Drawing on interviews with evacuees in these events and extensive fieldwork in the impacted area, the paper seeks to identify the folk dimensions of the decision-making process, assess their arrangements, and situate the process in the larger context of risk and resilience in an advanced society. It suggests that, despite the material and emotional upheaval experienced by affected persons, the decision-making process is a rational endeavour combining a definite set of tightly interconnected factors, involving material dimensions and substantive values that can act in concert or in conflict. In addition, it indicates that there are significant variations by geographic areas, homeownership, and kind of decision. Some theoretical implications, practical measures, and suggestions for future research are examined. © 2013 The Author(s). Journal compilation © Overseas Development Institute, 2013.

  5. Multi-criteria analysis of innovation policies in favour of solar mobility in France by 2030

    International Nuclear Information System (INIS)

    Popiolek, Nathalie; Thais, Françoise

    2016-01-01

    As part of France's political intentions to reduce CO_2 emissions in building and transport, this work offers an analysis from the perspective of a public authority on the various innovation policies for the deployment of electric vehicles powered by solar photovoltaic electricity (PV) by the year 2030. This innovation involves enhancing the synergy between buildings and mobility by associating positive energy houses with electric vehicles. The vehicle battery, charged primarily using PV electricity, could also provide a way of storing intermittent solar-generated electricity for later use. The aim of this article is to implement a decision-making model for public administration which can select the best innovation policies based on a number of criteria reflecting their major goals in terms of policies relating to energy, economics, social cohesion and “factor 4″ (to reduce greenhouse gas emissions by a factor of 4 by 2050 compared with 1990 levels). The methodology developed herein has been applied to a concrete case, with some resulting recommendations which may be of use for the public authorities: simultaneously combine research in favour of solar mobility technologies and apply a relatively high carbon tax. Such recommendations are mitigated by the choice of the data set and the methodological shortcomings. - Highlights: • Public Policies are examined in order to deploy solar mobility in France by 2030. • A multi-criteria decision making model is implemented to select the best policies. • For each policy, 8 criteria are evaluated compared to the business as usual policy. • Assumptions about decision-making environment are combined to define future scenarios. • The best policies are the R&D support on technologies with a high carbon tax.

  6. Spatially explicit multi-criteria decision analysis for managing vector-borne diseases

    Science.gov (United States)

    2011-01-01

    The complex epidemiology of vector-borne diseases creates significant challenges in the design and delivery of prevention and control strategies, especially in light of rapid social and environmental changes. Spatial models for predicting disease risk based on environmental factors such as climate and landscape have been developed for a number of important vector-borne diseases. The resulting risk maps have proven value for highlighting areas for targeting public health programs. However, these methods generally only offer technical information on the spatial distribution of disease risk itself, which may be incomplete for making decisions in a complex situation. In prioritizing surveillance and intervention strategies, decision-makers often also need to consider spatially explicit information on other important dimensions, such as the regional specificity of public acceptance, population vulnerability, resource availability, intervention effectiveness, and land use. There is a need for a unified strategy for supporting public health decision making that integrates available data for assessing spatially explicit disease risk, with other criteria, to implement effective prevention and control strategies. Multi-criteria decision analysis (MCDA) is a decision support tool that allows for the consideration of diverse quantitative and qualitative criteria using both data-driven and qualitative indicators for evaluating alternative strategies with transparency and stakeholder participation. Here we propose a MCDA-based approach to the development of geospatial models and spatially explicit decision support tools for the management of vector-borne diseases. We describe the conceptual framework that MCDA offers as well as technical considerations, approaches to implementation and expected outcomes. We conclude that MCDA is a powerful tool that offers tremendous potential for use in public health decision-making in general and vector-borne disease management in particular

  7. TESTING MULTI-CRITERIA DECISION ANALYSIS FOR MORE TRANSPARENT RESOURCE-ALLOCATION DECISION MAKING IN COLOMBIA.

    Science.gov (United States)

    Castro Jaramillo, Hector Eduardo; Goetghebeur, Mireille; Moreno-Mattar, Ornella

    2016-01-01

    In 2012, Colombia experienced an important institutional transformation after the establishment of the Health Technology Assessment Institute (IETS), the disbandment of the Regulatory Commission for Health and the reassignment of reimbursement decision-making powers to the Ministry of Health and Social Protection (MoHSP). These dynamic changes provided the opportunity to test Multi-Criteria Decision Analysis (MCDA) for systematic and more transparent resource-allocation decision-making. During 2012 and 2013, the MCDA framework Evidence and Value: Impact on Decision Making (EVIDEM) was tested in Colombia. This consisted of a preparatory stage in which the investigators conducted literature searches and produced HTA reports for four interventions of interest, followed by a panel session with decision makers. This method was contrasted with a current approach used in Colombia for updating the publicly financed benefits package (POS), where narrative health technology assessment (HTA) reports are presented alongside comprehensive budget impact analyses (BIAs). Disease severity, size of population, and efficacy ranked at the top among fifteen preselected relevant criteria. MCDA estimates of technologies of interest ranged between 71 to 90 percent of maximum value. The ranking of technologies was sensitive to the methods used. Participants considered that a two-step approach including an MCDA template, complemented by a detailed BIA would be the best approach to assist decision-making in this context. Participants agreed that systematic priority setting should take place in Colombia. This work may serve as the basis to the MoHSP on its interest of setting up a systematic and more transparent process for resource-allocation decision-making.

  8. Spatially explicit multi-criteria decision analysis for managing vector-borne diseases

    Directory of Open Access Journals (Sweden)

    Hongoh Valerie

    2011-12-01

    Full Text Available Abstract The complex epidemiology of vector-borne diseases creates significant challenges in the design and delivery of prevention and control strategies, especially in light of rapid social and environmental changes. Spatial models for predicting disease risk based on environmental factors such as climate and landscape have been developed for a number of important vector-borne diseases. The resulting risk maps have proven value for highlighting areas for targeting public health programs. However, these methods generally only offer technical information on the spatial distribution of disease risk itself, which may be incomplete for making decisions in a complex situation. In prioritizing surveillance and intervention strategies, decision-makers often also need to consider spatially explicit information on other important dimensions, such as the regional specificity of public acceptance, population vulnerability, resource availability, intervention effectiveness, and land use. There is a need for a unified strategy for supporting public health decision making that integrates available data for assessing spatially explicit disease risk, with other criteria, to implement effective prevention and control strategies. Multi-criteria decision analysis (MCDA is a decision support tool that allows for the consideration of diverse quantitative and qualitative criteria using both data-driven and qualitative indicators for evaluating alternative strategies with transparency and stakeholder participation. Here we propose a MCDA-based approach to the development of geospatial models and spatially explicit decision support tools for the management of vector-borne diseases. We describe the conceptual framework that MCDA offers as well as technical considerations, approaches to implementation and expected outcomes. We conclude that MCDA is a powerful tool that offers tremendous potential for use in public health decision-making in general and vector

  9. Four Common Simplifications of Multi-Criteria Decision Analysis do not hold for River Rehabilitation.

    Science.gov (United States)

    Langhans, Simone D; Lienert, Judit

    2016-01-01

    River rehabilitation aims at alleviating negative effects of human impacts such as loss of biodiversity and reduction of ecosystem services. Such interventions entail difficult trade-offs between different ecological and often socio-economic objectives. Multi-Criteria Decision Analysis (MCDA) is a very suitable approach that helps assessing the current ecological state and prioritizing river rehabilitation measures in a standardized way, based on stakeholder or expert preferences. Applications of MCDA in river rehabilitation projects are often simplified, i.e. using a limited number of objectives and indicators, assuming linear value functions, aggregating individual indicator assessments additively, and/or assuming risk neutrality of experts. Here, we demonstrate an implementation of MCDA expert preference assessments to river rehabilitation and provide ample material for other applications. To test whether the above simplifications reflect common expert opinion, we carried out very detailed interviews with five river ecologists and a hydraulic engineer. We defined essential objectives and measurable quality indicators (attributes), elicited the experts´ preferences for objectives on a standardized scale (value functions) and their risk attitude, and identified suitable aggregation methods. The experts recommended an extensive objectives hierarchy including between 54 and 93 essential objectives and between 37 to 61 essential attributes. For 81% of these, they defined non-linear value functions and in 76% recommended multiplicative aggregation. The experts were risk averse or risk prone (but never risk neutral), depending on the current ecological state of the river, and the experts´ personal importance of objectives. We conclude that the four commonly applied simplifications clearly do not reflect the opinion of river rehabilitation experts. The optimal level of model complexity, however, remains highly case-study specific depending on data and resource

  10. Environmental condition assessment of US military installations using GIS based spatial multi-criteria decision analysis.

    Science.gov (United States)

    Singer, Steve; Wang, Guangxing; Howard, Heidi; Anderson, Alan

    2012-08-01

    Environment functions in various aspects including soil and water conservation, biodiversity and habitats, and landscape aesthetics. Comprehensive assessment of environmental condition is thus a great challenge. The issues include how to assess individual environmental components such as landscape aesthetics and integrate them into an indicator that can comprehensively quantify environmental condition. In this study, a geographic information systems based spatial multi-criteria decision analysis was used to integrate environmental variables and create the indicator. This approach was applied to Fort Riley Military installation in which land condition and its dynamics due to military training activities were assessed. The indicator was derived by integrating soil erosion, water quality, landscape fragmentation, landscape aesthetics, and noise based on the weights from the experts by assessing and ranking the environmental variables in terms of their importance. The results showed that landscape level indicator well quantified the overall environmental condition and its dynamics, while the indicator at level of patch that is defined as a homogeneous area that is different from its surroundings detailed the spatiotemporal variability of environmental condition. The environmental condition was mostly determined by soil erosion, then landscape fragmentation, water quality, landscape aesthetics, and noise. Overall, environmental condition at both landscape and patch levels greatly varied depending on the degree of ground and canopy disturbance and their spatial patterns due to military training activities and being related to slope. It was also determined the environment itself could be recovered quickly once military training was halt or reduced. Thus, this study provided an effective tool for the army land managers to monitor environmental dynamics and plan military training activities. Its limitation lies at that the obtained values of the indicator vary and are

  11. Use of multi-criteria decision analysis to identify potentially dangerous glacial lakes.

    Science.gov (United States)

    Kougkoulos, Ioannis; Cook, Simon J; Jomelli, Vincent; Clarke, Leon; Symeonakis, Elias; Dortch, Jason M; Edwards, Laura A; Merad, Myriam

    2018-04-15

    Glacial Lake Outburst Floods (GLOFs) represent a significant threat in deglaciating environments, necessitating the development of GLOF hazard and risk assessment procedures. Here, we outline a Multi-Criteria Decision Analysis (MCDA) approach that can be used to rapidly identify potentially dangerous lakes in regions without existing tailored GLOF risk assessments, where a range of glacial lake types exist, and where field data are sparse or non-existent. Our MCDA model (1) is desk-based and uses freely and widely available data inputs and software, and (2) allows the relative risk posed by a range of glacial lake types to be assessed simultaneously within any region. A review of the factors that influence GLOF risk, combined with the strict rules of criteria selection inherent to MCDA, has allowed us to identify 13 exhaustive, non-redundant, and consistent risk criteria. We use our MCDA model to assess the risk of 16 extant glacial lakes and 6 lakes that have already generated GLOFs, and found that our results agree well with previous studies. For the first time in GLOF risk assessment, we employed sensitivity analyses to test the strength of our model results and assumptions, and to identify lakes that are sensitive to the criteria and risk thresholds used. A key benefit of the MCDA method is that sensitivity analyses are readily undertaken. Overall, these sensitivity analyses lend support to our model, although we suggest that further work is required to determine the relative importance of assessment criteria, and the thresholds that determine the level of risk for each criterion. As a case study, the tested method was then applied to 25 potentially dangerous lakes in the Bolivian Andes, where GLOF risk is poorly understood; 3 lakes are found to pose 'medium' or 'high' risk, and require further detailed investigation. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. Gis-Based Multi-Criteria Decision Analysis for Forest Fire Risk Mapping

    Science.gov (United States)

    Akay, A. E.; Erdoğan, A.

    2017-11-01

    The forested areas along the coastal zone of the Mediterranean region in Turkey are classified as first-degree fire sensitive areas. Forest fires are major environmental disaster that affects the sustainability of forest ecosystems. Besides, forest fires result in important economic losses and even threaten human lives. Thus, it is critical to determine the forested areas with fire risks and thereby minimize the damages on forest resources by taking necessary precaution measures in these areas. The risk of forest fire can be assessed based on various factors such as forest vegetation structures (tree species, crown closure, tree stage), topographic features (slope and aspect), and climatic parameters (temperature, wind). In this study, GIS-based Multi-Criteria Decision Analysis (MCDA) method was used to generate forest fire risk map. The study was implemented in the forested areas within Yayla Forest Enterprise Chiefs at Dursunbey Forest Enterprise Directorate which is classified as first degree fire sensitive area. In the solution process, "extAhp 2.0" plug-in running Analytic Hierarchy Process (AHP) method in ArcGIS 10.4.1 was used to categorize study area under five fire risk classes: extreme risk, high risk, moderate risk, and low risk. The results indicated that 23.81 % of the area was of extreme risk, while 25.81 % was of high risk. The result indicated that the most effective criterion was tree species, followed by tree stages. The aspect had the least effective criterion on forest fire risk. It was revealed that GIS techniques integrated with MCDA methods are effective tools to quickly estimate forest fire risk at low cost. The integration of these factors into GIS can be very useful to determine forested areas with high fire risk and also to plan forestry management after fire.

  13. Integrating multi-criteria decision analysis for a GIS-based hazardous waste landfill sitting in Kurdistan Province, western Iran

    International Nuclear Information System (INIS)

    Sharifi, Mozafar; Hadidi, Mosslem; Vessali, Elahe; Mosstafakhani, Parasto; Taheri, Kamal; Shahoie, Saber; Khodamoradpour, Mehran

    2009-01-01

    The evaluation of a hazardous waste disposal site is a complicated process because it requires data from diverse social and environmental fields. These data often involve processing of a significant amount of spatial information which can be used by GIS as an important tool for land use suitability analysis. This paper presents a multi-criteria decision analysis alongside with a geospatial analysis for the selection of hazardous waste landfill sites in Kurdistan Province, western Iran. The study employs a two-stage analysis to provide a spatial decision support system for hazardous waste management in a typically under developed region. The purpose of GIS was to perform an initial screening process to eliminate unsuitable land followed by utilization of a multi-criteria decision analysis (MCDA) to identify the most suitable sites using the information provided by the regional experts with reference to new chosen criteria. Using 21 exclusionary criteria, as input layers, masked maps were prepared. Creating various intermediate or analysis map layers a final overlay map was obtained representing areas for hazardous waste landfill sites. In order to evaluate different landfill sites produced by the overlaying a landfill suitability index system was developed representing cumulative effects of relative importance (weights) and suitability values of 14 non-exclusionary criteria including several criteria resulting from field observation. Using this suitability index 15 different sites were visited and based on the numerical evaluation provided by MCDA most suitable sites were determined.

  14. Multi-criteria analysis for the detection of the most critical European UNESCO Heritage sites

    Science.gov (United States)

    Valagussa, Andrea; Frattini, Paolo; Berta, Nadia; Spizzichino, Daniele; Leoni, Gabriele; Margottini, Claudio; Battista Crosta, Giovanni

    2017-04-01

    A GIS-based multi-criteria analysis has been implemented to identify and to rank the most critical UNESCO Heritage sites at the European scale in the context of PROTHEGO JPI-Project. Two multi-criteria methods have been tested and applied to more than 300 European UNESCO Sites. First, the Analytic Hierarchy Procedure (AHP) was applied to the data of the UNESCO Periodic Report, in relation to 13 natural hazards that have affected or can potentially affect the Heritage sites. According to these reports, 22% of sites are without any documented hazard and 70% of the sites have at least one hazard affecting the site. The most important hazards on the European country are: fire (wildfire), storm, flooding, earthquake and erosion. For each UNESCO site, the potential risk was calculated as a weighed sum of the hazards that affect the site. The weighs of the 13 hazards were obtained by AHP procedure, which is a technique for multi-attribute decision making that enables the decomposition of a problem into hierarchy, based on the opinion of different experts about the dominance of risks. The weights are obtained by rescaling between 0 and 1 the eigenvectors relative to the maximum eigenvalue for the matrix of the coefficients. The internal coherence of the expert's attributions is defined through the calculation of the consistency ratio (Saaty, 1990). The result of the AHP method consists in a map of the UNESCO sites ranked according to the potential risk, where the site most at risk results to be the Geirangerfjord and Nærøyfjord in Norway. However, the quality of these results lies in the reliability of the Period Reports, which are produced by different experts with unknown level of scientific background. To test the reliability of these results, a comparison of the information of the periodic reports with available high-quality datasets (earthquake, volcano and landslide) at the Italian scale has been performed. Sites properly classified by the Period Reports range from

  15. Multi-criteria analysis to support decision-making process in the event of radiological emergency in tropical climate countries

    International Nuclear Information System (INIS)

    Pereira, Jose F.; Rochedo, Elaine R.R.; Wasserman, Maria A.V.; Silva, Diogo N.G.

    2008-01-01

    Full text: The Multi-criteria Analysis has been widely used in the most diverse areas of the knowledge such as Economy, Transport, Industry, Production, among others. The Multi-criteria Analysis aims to support the decision process, based on the comparison of alternatives, leading to the recommendation of optimized actions in support to decision makers. One of the permanent concerns in the international scenario is the study of the nuclear/radiological consequences of accidents and other events that lead to the contamination of the environment and the exposure of members of the public as a consequence of this contamination. The Multi-criteria Analysis Method is already being used for similar applications in some European countries but it is necessary that the criteria are established taking in account economic, social and climatic aspects that can affect the selection of protective measures applicable to specific regions, and the selection of the different weights to be associated to the different criteria that are to be applied to different social-politic environments. The present work describes the development, already in advanced phase, of a Multi-criteria tool to support the decision making process for the implementation of protective measures to protect the public in situations of radiological accidents, with the degree of flexibility to be easily adapted to the different social, political and climatic regions of Brazil, through the comparison of different options considering a diversity of aspects, such as the efficiency of the measure in the reducing public exposure, the radiation doses that would be received by the workers, the characteristics of the generated wastes, the difficulty of implementation of the measures, as well as the operational costs related to the implementation of the measures. The aim of such analysis is to supply an optimized guidance, under the point of view of radiological protection, adequate for different types of environments that

  16. Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing

    Directory of Open Access Journals (Sweden)

    Ganjar Alfian

    2017-06-01

    Full Text Available A carsharing service can be seen as a transport alternative between private and public transport that enables a group of people to share vehicles based at certain stations. The advanced carsharing service, one-way carsharing, enables customers to return the car to another station. However, one-way implementation generates an imbalanced distribution of cars in each station. Thus, this paper proposes forecasting relocation to solve car distribution imbalances for one-way carsharing services. A discrete event simulation model was developed to help evaluate the proposed model performance. A real case dataset was used to find the best simulation result. The results provide a clear insight into the impact of forecasting relocation on high system utilization and the reservation acceptance ratio compared to traditional relocation methods.

  17. Application of a multi-criteria analysis for the selection of the most suitable energy source and water desalination system in Mauritania

    International Nuclear Information System (INIS)

    Bayod Rujula, Angel Antonio; Dia, Nourou Khalidou

    2010-01-01

    Water deficits and their associated shortages are serious problems in many areas of the world. The paper presents a multi-criteria analysis for selection of the most suitable system in Mauritania. Six scenarios, different energy sources, technologies of water desalination processes and water use and five criteria are analyzed. The multi-criteria analysis shows that the optimal solution is different for each scenario; in some cases the photovoltaic-reverse osmosis option is preferable; in others, the best option is reverse-osmosis powered by wind energy or concentrating solar parabolic.

  18. Chemical storage of wind energy by renewable methanol production: Feasibility analysis using a multi-criteria decision matrix

    International Nuclear Information System (INIS)

    Matzen, Michael; Alhajji, Mahdi; Demirel, Yaşar

    2015-01-01

    This study is for the technoeconomic analysis of an integral facility consisting of wind energy-based electrolytic hydrogen production, bioethanol-based carbon dioxide capture and compression, and direct methanol synthesis. ASPEN Plus was used to simulate the facility producing 97.01 mt (metric tons) methanol/day using 138.37 mt CO_2/day and 18.56 mt H_2/day. A discounted cash flow diagram for the integral facility is used for the economic analysis at various hydrogen production costs and methanol selling prices. The feasibility analysis is based on a multi-criteria decision matrix consisting of economic and sustainability indicators comparing renewable and non-renewable methanol productions. The overall energy efficiency for the renewable methanol is around 58%. Fixation of carbon reduces the CO_2 equivalent emission by around −1.05 CO_2e/kg methanol. The electrolytic hydrogen production cost is the largest contributor to the economics of the integral facility. The feasibility analysis based on multi-criteria shows that renewable methanol production may be feasible. - Highlights: • We simulate renewable methanol production from wind-based hydrogen and CO_2_. • Methanol production can fix 1.05 kg CO_2/kg methanol with an energy efficiency of 58%. • Economic and sustainability metrics are estimated for the integral facility. • We introduce a decision matrix with both economic and sustainability indicators. • Renewable methanol may be feasible versus conventional fossil fuel-based methanol.

  19. Using GIS-based methods of multicriteria analysis to construct socio-economic deprivation indices

    Directory of Open Access Journals (Sweden)

    Hayes Michael V

    2007-05-01

    Full Text Available Abstract Background Over the past several decades researchers have produced substantial evidence of a social gradient in a variety of health outcomes, rising from systematic differences in income, education, employment conditions, and family dynamics within the population. Social gradients in health are measured using deprivation indices, which are typically constructed from aggregated socio-economic data taken from the national census – a technique which dates back at least until the early 1970's. The primary method of index construction over the last decade has been a Principal Component Analysis. Seldom are the indices constructed from survey-based data sources due to the inherent difficulty in validating the subjectivity of the response scores. We argue that this very subjectivity can uncover spatial distributions of local health outcomes. Moreover, indication of neighbourhood socio-economic status may go underrepresented when weighted without expert opinion. In this paper we propose the use of geographic information science (GIS for constructing the index. We employ a GIS-based Order Weighted Average (OWA Multicriteria Analysis (MCA as a technique to validate deprivation indices that are constructed using more qualitative data sources. Both OWA and traditional MCA are well known and used methodologies in spatial analysis but have had little application in social epidemiology. Results A survey of British Columbia's Medical Health Officers (MHOs was used to populate the MCA-based index. Seven variables were selected and weighted based on the survey results. OWA variable weights assign both local and global weights to the index variables using a sliding scale, producing a range of variable scenarios. The local weights also provide leverage for controlling the level of uncertainty in the MHO response scores. This is distinct from traditional deprivation indices in that the weighting is simultaneously dictated by the original respondent scores

  20. Corporate relocation in venture capital finance

    NARCIS (Netherlands)

    Cumming, D.; Flemming, G.; Schwienbacher, A.

    2009-01-01

    This paper introduces an analysis of international relocation decisions of venture capital (VC)-backed companies. Relocations to the United States are motivated by economic conditions as well as an improvement in the laws of the country in which the entrepreneurial firm is based. Relocations to the

  1. Ion-channeling analysis of As relocation in heavily doped Si:As irradiated with high-energy ions

    International Nuclear Information System (INIS)

    Lulli, G.; Albertazzi, E.; Bianconi, M.; Ferri, M.

    2003-01-01

    Silicon on insulator layers doped with 8x10 20 As cm -3 and thermally equilibrated at 1100 deg. C, have been irradiated with 2 MeV Si + ions. Rutherford backscattering-channeling analysis shows an increase in As disorder upon irradiation significantly larger than the increase in Si disorder, while electrical measurements show a large decrease in electrical activation. Monte Carlo simulation of channeling angular scans suggests that the enhanced As disorder effect is due to the preferential relocation of dopant atoms slightly displaced from lattice sites, which appear the main reason responsible for the electrical deactivation in the unirradiated sample and are believed to be in the form of As-vacancy clusters. Upon 600 deg. C 15 s annealing, the As atoms randomly relocated by ion irradiation almost completely recover their original configuration, probably capturing vacancies and forming, again, the complexes dissociated by ion irradiation

  2. Multi-criteria decision analysis for bioenergy in the Centre Region of Portugal

    Science.gov (United States)

    Esteves, T. C. J.; Cabral, P.; Ferreira, A. J. D.; Teixeira, J. C.

    2012-04-01

    With the consumption of fossil fuels, the resources essential to Man's survival are being rapidly contaminated. A sustainable future may be achieved by the use of renewable energies, allowing countries without non-renewable energy resources to guarantee energetic sovereignty. Using bioenergy may mean a steep reduction and/or elimination of the external dependency, enhancing the countries' capital and potentially reducing of the negative effects that outcome from the use of fossil fuels, such as loss of biodiversity, air, water, and soil pollution, … This work's main focus is to increase bioenergy use in the centre region of Portugal by allying R&D to facilitate determination of bioenergy availability and distribution throughout the study area.This analysis is essential, given that nowadays this knowledge is still very limited in the study area. Geographic Information Systems (GIS) was the main tool used to asses this study, due to its unseeingly ability to integrate various types of information (such as alphanumerical, statistical, geographical, …) and various sources of biomass (forest, agricultural, husbandry, municipal and industrial residues, shrublands, used vegetable oil and energy crops) to determine the bioenergy potential of the study area, as well as their spatial distribution. By allying GIS with multi-criteria decision analysis, the initial table-like information of difficult comprehension is transformed into tangible and easy to read results: both intermediate and final results of the created models will facilitate the decision making process. General results show that the major contributors for the bioenergy potential in the Centre Region of Portugal are forest residues, which are mostly located in the inner region of the study area. However, a more detailed analysis should be made to analyze the viability to use energy crops. As a main conclusion, we can say that, although this region may not use only this type of energy to be completely

  3. The Multi-Criteria Negotiation Analysis Based on the Membership Function

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    Roszkowska Ewa

    2014-08-01

    Full Text Available In this paper we propose a multi-criteria model based on the fuzzy preferences approach which can be implemented in the prenegotiation phase to evaluate the negotiations packages. The applicability of some multi-criteria ranking methods were discussed for building a scoring function for negotiation packages. The first one is Simple Additive Weighting (SAW technique which determines the sum of the partial satisfactions from each negotiation issue and aggregate them using the issue weights. The other one is Distance Based Methods (DBM, with its extension based on the distances to ideal or anti-ideal package, i.e. the TOPSIS procedure. In our approach the negotiator's preferences over the issues are represented by fuzzy membership functions and next a selected multi-criteria decision making method is adopted to determine the global rating of each package. The membership functions are used here as the equivalents of utility functions spread over the negotiation issues, which let us compare different type of data. One of the key advantages of the approach proposed is its usefulness for building a general scoring function in the ill-structured negotiation problem, namely the situation in which the problem itself as well as the negotiators preferences cannot be precisely defined, the available information is uncertain, subjective and vague. Secondly, all proposed variants of scoring functions produce consistent rankings, even though the new packages are added (or removed and do not result in rank reversal.

  4. Optimal management of adults with pharyngitis – a multi-criteria decision analysis

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    Dolan James G

    2006-03-01

    Full Text Available Abstract Background Current practice guidelines offer different management recommendations for adults presenting with a sore throat. The key issue is the extent to which the clinical likelihood of a Group A streptococcal infection should affect patient management decisions. To help resolve this issue, we conducted a multi-criteria decision analysis using the Analytic Hierarchy Process. Methods We defined optimal patient management using four criteria: 1 reduce symptom duration; 2 prevent infectious complications, local and systemic; 3 minimize antibiotic side effects, minor and anaphylaxis; and 4 achieve prudent use of antibiotics, avoiding both over-use and under-use. In our baseline analysis we assumed that all criteria and sub-criteria were equally important except minimizing anaphylactic side effects, which was judged very strongly more important than minimizing minor side effects. Management strategies included: a No test, No treatment; b Perform a rapid strep test and treat if positive; c Perform a throat culture and treat if positive; d Perform a rapid strep test and treat if positive; if negative obtain a throat culture and treat if positive; and e treat without further tests. We defined four scenarios based on the likelihood of group A streptococcal infection using the Centor score, a well-validated clinical index. Published data were used to estimate the likelihoods of clinical outcomes and the test operating characteristics of the rapid strep test and throat culture for identifying group A streptococcal infections. Results Using the baseline assumptions, no testing and no treatment is preferred for patients with Centor scores of 1; two strategies – culture and treat if positive and rapid strep with culture of negative results – are equally preferable for patients with Centor scores of 2; and rapid strep with culture of negative results is the best management strategy for patients with Centor scores 3 or 4. These results are

  5. Using multicriteria decision analysis during drug development to predict reimbursement decisions.

    Science.gov (United States)

    Williams, Paul; Mauskopf, Josephine; Lebiecki, Jake; Kilburg, Anne

    2014-01-01

    Pharmaceutical companies design clinical development programs to generate the data that they believe will support reimbursement for the experimental compound. The objective of the study was to present a process for using multicriteria decision analysis (MCDA) by a pharmaceutical company to estimate the probability of a positive recommendation for reimbursement for a new drug given drug and environmental attributes. The MCDA process included 1) selection of decisions makers who were representative of those making reimbursement decisions in a specific country; 2) two pre-workshop questionnaires to identify the most important attributes and their relative importance for a positive recommendation for a new drug; 3) a 1-day workshop during which participants undertook three tasks: i) they agreed on a final list of decision attributes and their importance weights, ii) they developed level descriptions for these attributes and mapped each attribute level to a value function, and iii) they developed profiles for hypothetical products 'just likely to be reimbursed'; and 4) use of the data from the workshop to develop a prediction algorithm based on a logistic regression analysis. The MCDA process is illustrated using case studies for three countries, the United Kingdom, Germany, and Spain. The extent to which the prediction algorithms for each country captured the decision processes for the workshop participants in our case studies was tested using a post-meeting questionnaire that asked the participants to make recommendations for a set of hypothetical products. The data collected in the case study workshops resulted in a prediction algorithm: 1) for the United Kingdom, the probability of a positive recommendation for different ranges of cost-effectiveness ratios; 2) for Spain, the probability of a positive recommendation at the national and regional levels; and 3) for Germany, the probability of a determination of clinical benefit. The results from the post

  6. Environmental Urbanization Assessment Using GIS and Multicriteria Decision Analysis: A Case Study for Denizli (Turkey Municipal Area

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    Erdal Akyol

    2018-01-01

    Full Text Available In recent years, life quality of the urban areas is a growing interest of civil engineering. Environmental quality is essential to display the position of sustainable development and asserts the corresponding countermeasures to the protection of environment. Urban environmental quality involves multidisciplinary parameters and difficulties to be analyzed. The problem is not only complex but also involves many uncertainties, and decision-making on these issues is a challenging problem which contains many parameters and alternatives inherently. Multicriteria decision analysis (MCDA is a very prepotent technique to solve that sort of problems, and it guides the users confidence by synthesizing that information. Environmental concerns frequently contain spatial information. Spatial multicriteria decision analysis (SMCDA that includes Geographic Information System (GIS is efficient to tackle that type of problems. This study has employed some geographic and urbanization parameters to assess the environmental urbanization quality used by those methods. The study area has been described in five categories: very favorable, favorable, moderate, unfavorable, and very unfavorable. The results are momentous to see the current situation, and they could help to mitigate the related concerns. The study proves that the SMCDA descriptions match the environmental quality perception in the city.

  7. A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis.

    Science.gov (United States)

    Feizizadeh, Bakhtiar; Jankowski, Piotr; Blaschke, Thomas

    2014-03-01

    GIS multicriteria decision analysis (MCDA) techniques are increasingly used in landslide susceptibility mapping for the prediction of future hazards, land use planning, as well as for hazard preparedness. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are open to multiple types of uncertainty. In this paper, we present a systematic approach to uncertainty and sensitivity analysis. We access the uncertainty of landslide susceptibility maps produced with GIS-MCDA techniques. A new spatially-explicit approach and Dempster-Shafer Theory (DST) are employed to assess the uncertainties associated with two MCDA techniques, namely Analytical Hierarchical Process (AHP) and Ordered Weighted Averaging (OWA) implemented in GIS. The methodology is composed of three different phases. First, weights are computed to express the relative importance of factors (criteria) for landslide susceptibility. Next, the uncertainty and sensitivity of landslide susceptibility is analyzed as a function of weights using Monte Carlo Simulation and Global Sensitivity Analysis. Finally, the results are validated using a landslide inventory database and by applying DST. The comparisons of the obtained landslide susceptibility maps of both MCDA techniques with known landslides show that the AHP outperforms OWA. However, the OWA-generated landslide susceptibility map shows lower uncertainty than the AHP-generated map. The results demonstrate that further improvement in the accuracy of GIS-based MCDA can be achieved by employing an integrated uncertainty-sensitivity analysis approach, in which the uncertainty of landslide susceptibility model is decomposed and attributed to model's criteria weights.

  8. Multi-criteria decision analysis for assessment and appraisal of orphan drugs

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    Georgi Iskrov

    2016-09-01

    Full Text Available Background: Limited resources and expanding expectations push all countries and types of health systems to adopt new approaches in priority setting and resources allocation. Despite best efforts, it is difficult to reconcile all competing interests and trade-offs are inevitable. This is why multi-criteria decision analysis (MCDA has played a major role in recent uptake of value-based reimbursement. MCDA framework enables exploration of stakeholders’ preferences, as well as explicit organization of broad range of criteria on which real-world decisions are made.Assessment and appraisal of orphan drugs tend to be one of the most complicated health technology assessment (HTA tasks. Access to market approved orphan therapies remains an issue. Early constructive dialogue among rare disease stakeholders and elaboration of orphan drug-tailored decision support tools could set the scene for ongoing accumulation of evidence, as well as for proper reimbursement decision-making.Objective: The objective of this study was to create a MCDA value measurement model to assess and appraise orphan drugs. This was achieved by exploring the preferences on decision criteria’s weights and performance scores through a stakeholder-representative survey and a focus group discussion that were both organized in Bulgaria.Results/Conclusions: Decision criteria that describe the health technology’s characteristics were unanimously agreed as the most important group of reimbursement considerations. This outcome, combined with the high individual weight of disease severity and disease burden criteria underlined some of the fundamental principles of healthcare – equity and fairness. Our study proved that strength of evidence may be a key criterion in orphan drug assessment and appraisal. Evidence is not only used to shape reimbursement decision-making, but also to lend legitimacy to policies pursued. The need for real-world data on orphan drugs was largely stressed

  9. Multi-criteria decision analysis using hydrological indicators for decision support - a conceptual framework.

    Science.gov (United States)

    Butchart-Kuhlmann, Daniel; Kralisch, Sven; Meinhardt, Markus; Fleischer, Melanie

    2017-04-01

    Assessing the quantity and quality of water available in water stressed environments under various potential climate and land-use changes is necessary for good water and environmental resources management and governance. Within the region covered by the Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL) project, such areas are common. One goal of the SASSCAL project is to develop and provide an integrated decision support system (DSS) with which decision makers (DMs) within a given catchment can obtain objective information regarding potential changes in water flow quantity and timing. The SASSCAL DSS builds upon existing data storage and distribution capability, through the SASSCAL Information System (IS), as well as the J2000 hydrological model. Using output from validated J2000 models, the SASSCAL DSS incorporates the calculation of a range of hydrological indicators based upon Indicators of Hydrological Alteration/Environmental Flow Components (IHA/EFC) calculated for a historic time series (pre-impact) and a set of model simulations based upon a selection of possible climate and land-use change scenarios (post-impact). These indicators, obtained using the IHA software package, are then used as input for a multi-criteria decision analysis (MCDA) undertaken using the open source diviz software package. The results of these analyses will provide DMs with an indication as to how various hydrological indicators within a catchment may be altered under different future scenarios, as well providing a ranking of how each scenario is preferred according to different DM preferences. Scenarios are represented through a combination of model input data and parameter settings in J2000, and preferences are represented through criteria weighting in the MCDA. Here, the methodology is presented and applied to the J2000 Luanginga model results using a set of hypothetical decision maker preference values as input for an MCDA based on

  10. Selection of adequate site location during early stages of construction project management: A multi-criteria decision analysis approach

    Science.gov (United States)

    Marović, Ivan; Hanak, Tomaš

    2017-10-01

    In the management of construction projects special attention should be given to the planning as the most important phase of decision-making process. Quality decision-making based on adequate and comprehensive collaboration of all involved stakeholders is crucial in project’s early stages. Fundamental reasons for existence of this problem arise from: specific conditions of construction industry (final products are inseparable from the location i.e. location has a strong influence of building design and its structural characteristics as well as technology which will be used during construction), investors’ desires and attitudes, and influence of socioeconomic and environment aspects. Considering all mentioned reasons one can conclude that selection of adequate construction site location for future investment is complex, low structured and multi-criteria problem. To take into account all the dimensions, the proposed model for selection of adequate site location is devised. The model is based on AHP (for designing the decision-making hierarchy) and PROMETHEE (for pairwise comparison of investment locations) methods. As a result of mixing basis feature of both methods, operational synergies can be achieved in multi-criteria decision analysis. Such gives the decision-maker a sense of assurance, knowing that if the procedure proposed by the presented model has been followed, it will lead to a rational decision, carefully and systematically thought out.

  11. Elimination Method of Multi-Criteria Decision Analysis (MCDA: A Simple Methodological Approach for Assessing Agricultural Sustainability

    Directory of Open Access Journals (Sweden)

    Byomkesh Talukder

    2017-02-01

    Full Text Available In the present world context, there is a need to assess the sustainability of agricultural systems. Various methods have been proposed to assess agricultural sustainability. Like in many other fields, Multi-Criteria Decision Analysis (MCDA has recently been used as a methodological approach for the assessment of agricultural sustainability. In this paper, an attempt is made to apply Elimination, a MCDA method, to an agricultural sustainability assessment, and to investigate its benefits and drawbacks. This article starts by explaining the importance of agricultural sustainability. Common MCDA types are discussed, with a description of the state-of-the-art method for incorporating multi-criteria and reference values for agricultural sustainability assessment. Then, a generic description of the Elimination Method is provided, and its modeling approach is applied to a case study in coastal Bangladesh. An assessment of the results is provided, and the issues that need consideration before applying Elimination to agricultural sustainability, are examined. Whilst having some limitations, the case study shows that it is applicable for agricultural sustainability assessments and for ranking the sustainability of agricultural systems. The assessment is quick compared to other assessment methods and is shown to be helpful for agricultural sustainability assessment. It is a relatively simple and straightforward analytical tool that could be widely and easily applied. However, it is suggested that appropriate care must be taken to ensure the successful use of the Elimination Method during the assessment process.

  12. THE BOGOR BUS STATION RELOCATION IMPACT ANALYSIS TO THE BOGOR OUTER RING ROAD (BORR AND PANGERAN SOGIRI STREET PERFORMANCE

    Directory of Open Access Journals (Sweden)

    Tri Sudibyo

    2015-02-01

    Full Text Available As the main bus station in Bogor, West Java, Baranangsiang bus station is currently located in the crowded city centre, near many offices, campuses and department stores. There is a plan of Bogor’s Dinas Perhubungan Komunikasi dan Informasi (Diskominfo to relocate the bus station to the new location in the Pangeran Sogiri Street in Tanah Baru area, near the newly built toll road, the Bogor Outer Ring Road (BORR.This research is conducted to analyze the traffic performance impact of the relocation plan of the bus station to the BORR network and the Pangeran Sogiri Street. The traffic data is obtained from the field survey in the Baranangsiang bus station and the BORR network. Some other secondary data are obtained from the Dinas Lalu Lintas and Angkutan Jalan (DLLAJ Bogor city. Based on the obtained data, a micro simulation model is built by using Aimsun traffic micro simulation program. The analysis is conducted in three traffic performance parameters; the traffic density, speed, and vehicles queue length. With respect to the analysis result, the relocation causes a serious traffic problem to the BORR network and the P. Sogiri Street. To minimize the problem caused by the relocation, three scenarios are proposed and thus simulated based on the findings and observed traffic problems. The first proposed scenario is conducted by widening the P. Sogiri Street and providing a 4-4 toll payment gate system to the BORR. This first scenario is able to reduce traffic problem in some sections, but the average network density, speed and queue length are still high by 132%, -54%, and 200% respectively compared to the existing condition. The second scenario is conducted by widening the P. Sogiri Street and providing a 5-3 toll gate system. This second scenario is also able to reduce traffic problem in most sections, but the average network density, speed and queue length are still high by 248%, -70%, and 95% respectively compared to the main bus station

  13. A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production.

    Science.gov (United States)

    Ahmad, Farah B; Zhang, Zhanying; Doherty, William O S; O'Hara, Ian M

    2015-08-01

    Oleaginous microorganisms have potential to be used to produce oils as alternative feedstock for biodiesel production. Microalgae (Chlorella protothecoides and Chlorella zofingiensis), yeasts (Cryptococcus albidus and Rhodotorula mucilaginosa), and fungi (Aspergillus oryzae and Mucor plumbeus) were investigated for their ability to produce oil from glucose, xylose and glycerol. Multi-criteria analysis (MCA) using analytic hierarchy process (AHP) and preference ranking organization method for the enrichment of evaluations (PROMETHEE) with graphical analysis for interactive aid (GAIA), was used to rank and select the preferred microorganisms for oil production for biodiesel application. This was based on a number of criteria viz., oil concentration, content, production rate and yield, substrate consumption rate, fatty acids composition, biomass harvesting and nutrient costs. PROMETHEE selected A. oryzae, M. plumbeus and R. mucilaginosa as the most prospective species for oil production. However, further analysis by GAIA Webs identified A. oryzae and M. plumbeus as the best performing microorganisms. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. GIS-based Multi-Criteria Analysis of Wind Farm Development

    DEFF Research Database (Denmark)

    Hansen, Henning Sten

    2005-01-01

    Due to the negative impact on the environment of traditional powergenerating methods, especially coal and oil-fired power stations wind power has increased in popularity. Achieving the goal set by the EU due to the implementation of the Kyoto protocol will require further expansion, and in order...... to facilitate this process around the Baltic Sea. A project – Wind Energy in the Baltic Sea Region - financed by EU / INTERREG III B was initiated in order to develop methods and tools to support spatial planning in relation to wind energy. The aim of the current study is to develop multi-criteria evaluations...

  15. Applying multi-criteria analysis to radiation protection optimisation of low and intermediate level radioactive waste disposal

    International Nuclear Information System (INIS)

    Pages, P.; Schneider, T.; Lombard, J.

    1991-01-01

    Introduction of ALARA principles in the field of radioactive waste management implies a definition of the main characteristics of the decisional framework. Specific aspects should be taken into account: long term effects, large uncertainties and/or probabilistic events, with particular attention to the public and the political authorities. Traditional cost-benefit analysis is not qualified to deal with these different dimensions of the risk. The aim of this paper is to describe the principles of multi-criteria analysis applied to low and intermediate level radioactive waste disposal. Three categories of barriers can be distinguished acting at different protection levels: site characteristics, waste package and disposal system. A set of possible solutions can be identified, but the selection of the 'optimum' is not easy because of the diversity of the factors to be allowed for. For example, the following problem needs to be addressed: is it preferable to limit public radiation exposure several hundred years ahead or to reduce occupational exposure during the monitoring period of the disposal facility? An optimisation study is currently being performed on the various components of the structure, assuming given site and waste package characteristics. Four steps are distinguished: identification and analysis of options for the structure; selection and estimation of the qualitative and quantitative criteria; determination of the 'most interesting' solutions using multi-criteria analysis; sensitivity analysis and discussion on uncertainties related to the various assumptions. Based on the preliminary findings, the paper focuses on practical solutions to address the methodological issues raised in applying the optimisation procedures to radioactive waste management. (au)

  16. Path analysis and multi-criteria decision making: an approach for multivariate model selection and analysis in health.

    Science.gov (United States)

    Vasconcelos, A G; Almeida, R M; Nobre, F F

    2001-08-01

    This paper introduces an approach that includes non-quantitative factors for the selection and assessment of multivariate complex models in health. A goodness-of-fit based methodology combined with fuzzy multi-criteria decision-making approach is proposed for model selection. Models were obtained using the Path Analysis (PA) methodology in order to explain the interrelationship between health determinants and the post-neonatal component of infant mortality in 59 municipalities of Brazil in the year 1991. Socioeconomic and demographic factors were used as exogenous variables, and environmental, health service and agglomeration as endogenous variables. Five PA models were developed and accepted by statistical criteria of goodness-of fit. These models were then submitted to a group of experts, seeking to characterize their preferences, according to predefined criteria that tried to evaluate model relevance and plausibility. Fuzzy set techniques were used to rank the alternative models according to the number of times a model was superior to ("dominated") the others. The best-ranked model explained above 90% of the endogenous variables variation, and showed the favorable influences of income and education levels on post-neonatal mortality. It also showed the unfavorable effect on mortality of fast population growth, through precarious dwelling conditions and decreased access to sanitation. It was possible to aggregate expert opinions in model evaluation. The proposed procedure for model selection allowed the inclusion of subjective information in a clear and systematic manner.

  17. A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet

    International Nuclear Information System (INIS)

    Cai, Yanpeng; Applegate, Scott; Yue, Wencong; Cai, Jianying; Wang, Xuan; Liu, Gengyuan; Li, Chunhui

    2017-01-01

    To identify and evaluate sustainable strategies of taxi fleet in Beijing in terms of economic, policy, and environmental implications, a hybrid approach was developed through incorporating multi-criteria decision analysis (MCDA) methods within a general life-cycle analysis (LCA) framework. The approach can (a) help comprehensive evaluate environmental impacts of multiple types of vehicles, (b) facilitate analysis of environmental, economic and policy features of such vehicles, and (c) identify desirable taxi fleet development strategies for the city. The developed approach represented an improvement of the decision-making capability for taxi implementation based on multiple available technologies and their performance that can be specifically tailored to Beijing. The results demonstrated that the proposed approach could comprehensively reflect multiple implications of strategies for the taxi fleet in Beijing to reduce air pollution in the city. The results also indicated that the electric vehicle powered with the year 2020 electricity projections would be the ideal solution, outranking the other alternatives. The conventional vehicle ranked the lowest among the alternatives. The plug-in hybrid vehicle powered by 2020 electricity projects ranked the third, followed by the plug-in hybrid vehicle ranking the fourth, and the hybrid vehicle ranking the fifth. - Highlights: • An hybrid approach was proposed for evaluating sustainable strategies of Beijing's taxi fleet. • This approach was based on the combination of multi-criteria decision analysis methods and life-cycle assessment. • Environmental, economic and policy performances of multiple strategies were compared. • Detailed responses of taxi drivers and local residents were interviewed. • The electric vehicle would be the ideal solution for Beijing Taxi fleet.

  18. Can multi-criteria analysis models support the site selection for a repository for heat-generating waste?

    International Nuclear Information System (INIS)

    Gutberlet, Daniela

    2015-01-01

    The decision for or against a potential site for a nuclear waste repository is highly complex and requires decision-makers to consider multiple assessment criteria. The complexity of each site and its characteristics, and the differing opinions among members of the public and advocacy groups mean t hat conflicts of interest are likely to arise. In this paper, the author suggests that multi-criteria analysis models could be used to provide methodological support during the selection process. The models can map these types of decision situations and suggest coherent solutions with relatively little formal effort. They allow users to compare different opt ions simultaneously and ensure that t heir decision-making Is conscious rather than arbitrary.

  19. New methods for the analysis of invasion processes: multi-criteria evaluation of the invasion of Hydrilla verticillata in Guatemala.

    Science.gov (United States)

    Monterroso, I; Binimelis, R; Rodríguez-Labajos, B

    2011-03-01

    The study described in this article incorporates stakeholders' views on aquatic invasion processes and combines expert analysis with information from field work into an evaluation exercise. Management scenarios are designed based on available technical data and stakeholders' perceptions. These scenarios are evaluated using the Social Multi-Criteria Evaluation framework employing the NAIADE model. Two evaluations are carried out, technical and social. Social acceptance of different management scenarios, distribution of costs and benefits, and attribution of responsibility are discussed. The case study was carried out on Lake Izabal, a body of water connected to the Caribbean Sea in Northeastern Guatemala. In 2000, local fishermen reported the presence of an alien species in the lake, the macrophyte Hydrilla verticillata. Two years later, this alien species was established around the entire lakeshore, damaging the ecosystem, endangering native species and the subsistence of local inhabitants through impacts on transportation, fishing practices, and tourism. Copyright © 2010 Elsevier Ltd. All rights reserved.

  20. Evaluation of the Three Gorges Dam project using multi-criteria analysis (MCA) based on a sustainable perspective

    Science.gov (United States)

    Han, Yue; Zheng, Wei; Guo, Junshan; Ma, Yihe; Ding, Junqi; Zhu, Lingkai; Che, Yongqiang; Zhang, Yanpeng

    2018-02-01

    Abstract . The Three Gorges dam of China is one of the largest and expensive hydropower projects of the world. The four main purposes of the project are flood control,energy production, improved navigation and fresh water supply. The dam project has been completed and running successfully with the potential benefits. However, this project is still a controversial issue among many environmentalists and socialists due to various impacts. This study focuses on the benefit and the impacts of the project, and also evaluates the performance of the project using multi-criteria analysis (MCA) approach from a sustainable perspective. Different sustainability criteria related with the dam project have been identified and used for the ranking and rating process. The final result of MCA comes with this scoring process and pairwise comparison, which evaluates the performance of the project considering different positive and negative aspects.

  1. Assessing the multidimensionality of coastal erosion risks: public participation and multicriteria analysis in a Mediterranean coastal system.

    Science.gov (United States)

    Roca, Elisabet; Gamboa, Gonzalo; Tàbara, J David

    2008-04-01

    The complex and multidimensional nature of coastal erosion risks makes it necessary to move away from single-perspective assessment and management methods that have conventionally predominated in coastal management. This article explores the suitability of participatory multicriteria analysis (MCA) for improving the integration of diverse expertises and values and enhancing the social-ecological robustness of the processes that lead to the definition of relevant policy options to deal with those risks. We test this approach in the Mediterranean coastal locality of Lido de Sète in France. Results show that the more adaptive alternatives such as "retreating the shoreline" were preferred by our selected stakeholders to those corresponding to "protecting the shoreline" and the business as usual proposals traditionally put forward by experts and policymakers on these matters. Participative MCA contributed to represent coastal multidimensionality, elicit and integrate different views and preferences, facilitated knowledge exchange, and allowed highlighting existing uncertainties.

  2. A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes

    Directory of Open Access Journals (Sweden)

    Maria Rosaria Guarini

    2018-02-01

    Full Text Available Real estate and land management are characterised by a complex, elaborate combination of technical, regulatory and governmental factors. In Europe, Public Administrators must address the complex decision-making problems that need to be resolved, while also acting in consideration of the expectations of the different stakeholders involved in settlement transformation. In complex situations (e.g., with different aspects to be considered and multilevel actors involved, decision-making processes are often used to solve multidisciplinary and multidimensional analyses, which support the choices of those who are making the decision. Multi-Criteria Decision Analysis (MCDA methods are included among the examination and evaluation techniques considered useful by the European Community. Such analyses and techniques are performed using methods, which aim to reach a synthesis of the various forms of input data needed to define decision-making problems of a similar complexity. Thus, one or more of the conclusions reached allow for informed, well thought-out, strategic decisions. According to the technical literature on MCDA, numerous methods are applicable in different decision-making situations, however, advice for selecting the most appropriate for the specific field of application and problem have not been thoroughly investigated. In land and real estate management, numerous queries regarding evaluations often arise. In brief, the objective of this paper is to outline a procedure with which to select the method best suited to the specific queries of evaluation, which commonly arise while addressing decision-making problems. In particular issues of land and real estate management, representing the so-called “settlement sector”. The procedure will follow a theoretical-methodological approach by formulating a taxonomy of the endogenous and exogenous variables of the multi-criteria analysis methods.

  3. Building a picture: Prioritisation of exotic diseases for the pig industry in Australia using multi-criteria decision analysis.

    Science.gov (United States)

    Brookes, V J; Hernández-Jover, M; Cowled, B; Holyoake, P K; Ward, M P

    2014-01-01

    Diseases that are exotic to the pig industry in Australia were prioritised using a multi-criteria decision analysis framework that incorporated weights of importance for a range of criteria important to industry stakeholders. Measurements were collected for each disease for nine criteria that described potential disease impacts. A total score was calculated for each disease using a weighted sum value function that aggregated the nine disease criterion measurements and weights of importance for the criteria that were previously elicited from two groups of industry stakeholders. One stakeholder group placed most value on the impacts of disease on livestock, and one group placed more value on the zoonotic impacts of diseases. Prioritisation lists ordered by disease score were produced for both of these groups. Vesicular diseases were found to have the highest priority for the group valuing disease impacts on livestock, followed by acute forms of African and classical swine fever, then highly pathogenic porcine reproductive and respiratory syndrome. The group who valued zoonotic disease impacts prioritised rabies, followed by Japanese encephalitis, Eastern equine encephalitis and Nipah virus, interspersed with vesicular diseases. The multi-criteria framework used in this study systematically prioritised diseases using a multi-attribute theory based technique that provided transparency and repeatability in the process. Flexibility of the framework was demonstrated by aggregating the criterion weights from more than one stakeholder group with the disease measurements for the criteria. This technique allowed industry stakeholders to be active in resource allocation for their industry without the need to be disease experts. We believe it is the first prioritisation of livestock diseases using values provided by industry stakeholders. The prioritisation lists will be used by industry stakeholders to identify diseases for further risk analysis and disease spread modelling to

  4. Control system of the inspection robots group applying auctions and multi-criteria analysis for task allocation

    Science.gov (United States)

    Panfil, Wawrzyniec; Moczulski, Wojciech

    2017-10-01

    In the paper presented is a control system of a mobile robots group intended for carrying out inspection missions. The main research problem was to define such a control system in order to facilitate a cooperation of the robots resulting in realization of the committed inspection tasks. Many of the well-known control systems use auctions for tasks allocation, where a subject of an auction is a task to be allocated. It seems that in the case of missions characterized by much larger number of tasks than number of robots it will be better if robots (instead of tasks) are subjects of auctions. The second identified problem concerns the one-sided robot-to-task fitness evaluation. Simultaneous assessment of the robot-to-task fitness and task attractiveness for robot should affect positively for the overall effectiveness of the multi-robot system performance. The elaborated system allows to assign tasks to robots using various methods for evaluation of fitness between robots and tasks, and using some tasks allocation methods. There is proposed the method for multi-criteria analysis, which is composed of two assessments, i.e. robot's concurrency position for task among other robots and task's attractiveness for robot among other tasks. Furthermore, there are proposed methods for tasks allocation applying the mentioned multi-criteria analysis method. The verification of both the elaborated system and the proposed tasks' allocation methods was carried out with the help of simulated experiments. The object under test was a group of inspection mobile robots being a virtual counterpart of the real mobile-robot group.

  5. Preliminary evaluation of crisis-relocation fallout-shelter options. Volume 2. Detailed analysis

    International Nuclear Information System (INIS)

    Santini, D.J.; Clinch, J.M.; Davis, F.H.; Hill, L.G.; Lynch, E.P.; Tanzman, E.A.; Wernette, D.R.

    1982-12-01

    This report presents a preliminary, detailed evaluation of various shelter options for use if the President orders crisis relocation of the US urban population because of strong expectation of a nuclear war. The availability of livable shelter space at 40 ft 2 per person (congregate-care space) by state is evaluated. Options are evaluated for construction of fallout shelters allowing 10 ft 2 per person - such shelters are designed to provide 100% survival at projected levels of radioactive fallout. The FEMA concept of upgrading existing buildings to act as fallout shelters can, in principle, provide adequate shelter throughout most of the US. Exceptions are noted and remedies proposed. In terms of upgrading existing buildings to fallout shelter status, great benefits are possible by turning away from a standard national approach and adopting a more site-specific approach. Existing FEMA research provides a solid foundation for successful crisis relocation planning, but the program can be refined by making suitable modifications in its locational, engineering, and institutionally specific elements

  6. Preliminary evaluation of crisis-relocation fallout-shelter options. Volume 2. Detailed analysis

    Energy Technology Data Exchange (ETDEWEB)

    Santini, D.J.; Clinch, J.M.; Davis, F.H.; Hill, L.G.; Lynch, E.P.; Tanzman, E.A.; Wernette, D.R.

    1982-12-01

    This report presents a preliminary, detailed evaluation of various shelter options for use if the President orders crisis relocation of the US urban population because of strong expectation of a nuclear war. The availability of livable shelter space at 40 ft/sup 2/ per person (congregate-care space) by state is evaluated. Options are evaluated for construction of fallout shelters allowing 10 ft/sup 2/ per person - such shelters are designed to provide 100% survival at projected levels of radioactive fallout. The FEMA concept of upgrading existing buildings to act as fallout shelters can, in principle, provide adequate shelter throughout most of the US. Exceptions are noted and remedies proposed. In terms of upgrading existing buildings to fallout shelter status, great benefits are possible by turning away from a standard national approach and adopting a more site-specific approach. Existing FEMA research provides a solid foundation for successful crisis relocation planning, but the program can be refined by making suitable modifications in its locational, engineering, and institutionally specific elements.

  7. Policy options to improve the effectiveness of the EU emissions trading system: A multi-criteria analysis

    International Nuclear Information System (INIS)

    Clò, Stefano; Battles, Susan; Zoppoli, Pietro

    2013-01-01

    This paper considers several policy options which have been proposed to improve the functioning of the ETS. These options require an intervention either on the ETS cap (−30% target, set-aside, carbon central bank, long-term target) or on the carbon price (European and national price floor). We analyse the impact of each policy on the ETS carbon price and emissions. A multi-criteria evaluation method is applied to compare the policy options against a plurality of environmental, economic and procedural criteria. We find that the final ranking depends on the goals to be achieved, i.e., the relative weights attributed to the criteria. When policymakers want mainly to support the carbon price both in the short and long-run, while improving ETS flexibility and harmonization, the CCB and the EU price floor are, respectively ranked as first and second-best options. As the preference for environmental and implementation goals gradually increases, the position of the EU price floor and CCB options tend to invert. The −30% target should be adopted when reducing emissions is the priority goal, while a national price floor is the worst option, in this case. Nevertheless, self-interested States looking for a relatively quick, feasible solution, may find it optimal. - Highlights: ► A multi-criteria analysis is adopted to compare policy options to improve the ETS effectiveness. ► An ETS cap reversible adjustment by a carbon central bank is the first-best option. ► The establishment of a EU-wide price floor would represent a second-best solution. ► A national price floor is the worst option but self-interest states may find it optimal. ► A post-2020 target is not a mutually exclusive option and should be set

  8. Using Multicriteria Analysis in Issues Concerning Adaptation of Historic Facilities for the Needs of Public Utility Buildings with a Function of a Theatre

    Science.gov (United States)

    Obracaj, Piotr; Fabianowski, Dariusz

    2017-10-01

    Implementations concerning adaptation of historic facilities for public utility objects are associated with the necessity of solving many complex, often conflicting expectations of future users. This mainly concerns the function that includes construction, technology and aesthetic issues. The list of issues is completed with proper protection of historic values, different in each case. The procedure leading to obtaining the expected solution is a multicriteria procedure, usually difficult to accurately define and requiring designer’s large experience. An innovative approach has been used for the analysis, namely - the modified EA FAHP (Extent Analysis Fuzzy Analytic Hierarchy Process) Chang’s method of a multicriteria analysis for the assessment of complex functional and spatial issues. Selection of optimal spatial form of an adapted historic building intended for the multi-functional public utility facility was analysed. The assumed functional flexibility was determined in the scope of: education, conference, and chamber spectacles, such as drama, concerts, in different stage-audience layouts.

  9. A Spatially Explicit Approach for Sensitivity and Uncertainty Analysis of GIS-Multicriteria Landslide Susceptibility Mapping. GI_Forum 2013 – Creating the GISociety|

    OpenAIRE

    Feizizadeh, Bakhtiar; Jankowski, Piotr; Blaschke, Thomas

    2016-01-01

    GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is employed to assess the uncertainty associated with two methods of GIS-MCDA namely, Analytical Hierarchi...

  10. A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis☆

    Science.gov (United States)

    Feizizadeh, Bakhtiar; Jankowski, Piotr; Blaschke, Thomas

    2014-01-01

    GIS multicriteria decision analysis (MCDA) techniques are increasingly used in landslide susceptibility mapping for the prediction of future hazards, land use planning, as well as for hazard preparedness. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are open to multiple types of uncertainty. In this paper, we present a systematic approach to uncertainty and sensitivity analysis. We access the uncertainty of landslide susceptibility maps produced with GIS-MCDA techniques. A new spatially-explicit approach and Dempster–Shafer Theory (DST) are employed to assess the uncertainties associated with two MCDA techniques, namely Analytical Hierarchical Process (AHP) and Ordered Weighted Averaging (OWA) implemented in GIS. The methodology is composed of three different phases. First, weights are computed to express the relative importance of factors (criteria) for landslide susceptibility. Next, the uncertainty and sensitivity of landslide susceptibility is analyzed as a function of weights using Monte Carlo Simulation and Global Sensitivity Analysis. Finally, the results are validated using a landslide inventory database and by applying DST. The comparisons of the obtained landslide susceptibility maps of both MCDA techniques with known landslides show that the AHP outperforms OWA. However, the OWA-generated landslide susceptibility map shows lower uncertainty than the AHP-generated map. The results demonstrate that further improvement in the accuracy of GIS-based MCDA can be achieved by employing an integrated uncertainty–sensitivity analysis approach, in which the uncertainty of landslide susceptibility model is decomposed and attributed to model's criteria weights. PMID:25843987

  11. Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

    Directory of Open Access Journals (Sweden)

    Daeryong Park

    2015-07-01

    Full Text Available This study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long-term plan for dam construction (LPDC in South Korea. However, if specific information is missing, the SEA is less useful for choosing a dam construction site. In this study, we applied AHP, ELECTRE III, PROMETHEE II and Compromise Programming as MCDM techniques, and used binomial and uniform distributions to generate missing information. We considered five dam site selection situations and compared the results as they depended on both MCDM techniques and information generation methods. The binomial generation method showed the most obvious priorities. All MCDM techniques showed similar priorities in the dam site selection results except for ELECTREE III. The results demonstrate that selecting an appropriate MCDM technique is more important than the data generation method. However, using binomial distribution to generate missing information is more effective in providing a robust priority than uniform distribution, which is a commonly used technique.

  12. Multi-criteria analysis for the determination of the best WEEE management scenario in Cyprus

    International Nuclear Information System (INIS)

    Rousis, K.; Moustakas, K.; Malamis, S.; Papadopoulos, A.; Loizidou, M.

    2008-01-01

    Waste from electrical and electronic equipment (WEEE) constitutes one of the most complicated solid waste streams in terms of its composition, and, as a result, it is difficult to be effectively managed. In view of the environmental problems derived from WEEE management, many countries have established national legislation to improve the reuse, recycling and other forms of recovery of this waste stream so as to apply suitable management schemes. In this work, alternative systems are examined for the WEEE management in Cyprus. These systems are evaluated by developing and applying the Multi-Criteria Decision Making (MCDM) method PROMETHEE. In particular, through this MCDM method, 12 alternative management systems were compared and ranked according to their performance and efficiency. The obtained results show that the management schemes/systems based on partial disassembly are the most suitable for implementation in Cyprus. More specifically, the optimum scenario/system that can be implemented in Cyprus is that of partial disassembly and forwarding of recyclable materials to the native existing market and disposal of the residues at landfill sites

  13. Analysis of Multi-Criteria Evaluation Method of Landfill Site Selection for Municipal Solid Waste Management

    Science.gov (United States)

    Mohammed, Habiba Ibrahim; Majid, Zulkepli; Yusof, Norhakim Bin; Bello Yamusa, Yamusa

    2018-03-01

    Landfilling remains the most common systematic technique of solid waste disposal in most of the developed and developing countries. Finding a suitable site for landfill is a very challenging task. Landfill site selection process aims to provide suitable areas that will protect the environment and public health from pollution and hazards. Therefore, various factors such as environmental, physical, socio-economic, and geological criteria must be considered before siting any landfill. This makes the site selection process vigorous and tedious because it involves the processing of large amount of spatial data, rules and regulations from different agencies and also policy from decision makers. This allows the incorporation of conflicting objectives and decision maker preferences into spatial decision models. This paper particularly analyzes the multi-criteria evaluation (MCE) method of landfill site selection for solid waste management by means of literature reviews and surveys. The study will help the decision makers and waste management authorities to choose the most effective method when considering landfill site selection.

  14. Analysis of Multi-Criteria Evaluation Method of Landfill Site Selection for Municipal Solid Waste Management

    Directory of Open Access Journals (Sweden)

    Ibrahim Mohammed Habiba

    2018-01-01

    Full Text Available Landfilling remains the most common systematic technique of solid waste disposal in most of the developed and developing countries. Finding a suitable site for landfill is a very challenging task. Landfill site selection process aims to provide suitable areas that will protect the environment and public health from pollution and hazards. Therefore, various factors such as environmental, physical, socio-economic, and geological criteria must be considered before siting any landfill. This makes the site selection process vigorous and tedious because it involves the processing of large amount of spatial data, rules and regulations from different agencies and also policy from decision makers. This allows the incorporation of conflicting objectives and decision maker preferences into spatial decision models. This paper particularly analyzes the multi-criteria evaluation (MCE method of landfill site selection for solid waste management by means of literature reviews and surveys. The study will help the decision makers and waste management authorities to choose the most effective method when considering landfill site selection.

  15. Multi-criteria analysis for the determination of the best WEEE management scenario in Cyprus.

    Science.gov (United States)

    Rousis, K; Moustakas, K; Malamis, S; Papadopoulos, A; Loizidou, M

    2008-01-01

    Waste from electrical and electronic equipment (WEEE) constitutes one of the most complicated solid waste streams in terms of its composition, and, as a result, it is difficult to be effectively managed. In view of the environmental problems derived from WEEE management, many countries have established national legislation to improve the reuse, recycling and other forms of recovery of this waste stream so as to apply suitable management schemes. In this work, alternative systems are examined for the WEEE management in Cyprus. These systems are evaluated by developing and applying the Multi-Criteria Decision Making (MCDM) method PROMETHEE. In particular, through this MCDM method, 12 alternative management systems were compared and ranked according to their performance and efficiency. The obtained results show that the management schemes/systems based on partial disassembly are the most suitable for implementation in Cyprus. More specifically, the optimum scenario/system that can be implemented in Cyprus is that of partial disassembly and forwarding of recyclable materials to the native existing market and disposal of the residues at landfill sites.

  16. Multi-criteria decision analysis and spatial statistic: an approach to determining human vulnerability to vector transmission of Trypanosoma cruzi

    Directory of Open Access Journals (Sweden)

    Diego Montenegro

    Full Text Available BACKGROUND Chagas disease (CD, caused by the protozoan Trypanosoma cruzi, is a neglected human disease. It is endemic to the Americas and is estimated to have an economic impact, including lost productivity and disability, of 7 billion dollars per year on average. OBJECTIVES To assess vulnerability to vector-borne transmission of T. cruzi in domiciliary environments within an area undergoing domiciliary vector interruption of T. cruzi in Colombia. METHODS Multi-criteria decision analysis [preference ranking method for enrichment evaluation (PROMETHEE and geometrical analysis for interactive assistance (GAIA methods] and spatial statistics were performed on data from a socio-environmental questionnaire and an entomological survey. In the construction of multi-criteria descriptors, decision-making processes and indicators of five determinants of the CD vector pathway were summarily defined, including: (1 house indicator (HI; (2 triatominae indicator (TI; (3 host/reservoir indicator (Ho/RoI; (4 ecotope indicator (EI; and (5 socio-cultural indicator (S-CI. FINDINGS Determination of vulnerability to CD is mostly influenced by TI, with 44.96% of the total weight in the model, while the lowest contribution was from S-CI, with 7.15%. The five indicators comprise 17 indices, and include 78 of the original 104 priority criteria and variables. The PROMETHEE and GAIA methods proved very efficient for prioritisation and quantitative categorisation of socio-environmental determinants and for better determining which criteria should be considered for interrupting the man-T. cruzi-vector relationship in endemic areas of the Americas. Through the analysis of spatial autocorrelation it is clear that there is a spatial dependence in establishing categories of vulnerability, therefore, the effect of neighbors’ setting (border areas on local values should be incorporated into disease management for establishing programs of surveillance and control of CD via vector

  17. Multi-criteria decision analysis and spatial statistic: an approach to determining human vulnerability to vector transmission of Trypanosoma cruzi.

    Science.gov (United States)

    Montenegro, Diego; Cunha, Ana Paula da; Ladeia-Andrade, Simone; Vera, Mauricio; Pedroso, Marcel; Junqueira, Angela

    2017-10-01

    Chagas disease (CD), caused by the protozoan Trypanosoma cruzi, is a neglected human disease. It is endemic to the Americas and is estimated to have an economic impact, including lost productivity and disability, of 7 billion dollars per year on average. To assess vulnerability to vector-borne transmission of T. cruzi in domiciliary environments within an area undergoing domiciliary vector interruption of T. cruzi in Colombia. Multi-criteria decision analysis [preference ranking method for enrichment evaluation (PROMETHEE) and geometrical analysis for interactive assistance (GAIA) methods] and spatial statistics were performed on data from a socio-environmental questionnaire and an entomological survey. In the construction of multi-criteria descriptors, decision-making processes and indicators of five determinants of the CD vector pathway were summarily defined, including: (1) house indicator (HI); (2) triatominae indicator (TI); (3) host/reservoir indicator (Ho/RoI); (4) ecotope indicator (EI); and (5) socio-cultural indicator (S-CI). Determination of vulnerability to CD is mostly influenced by TI, with 44.96% of the total weight in the model, while the lowest contribution was from S-CI, with 7.15%. The five indicators comprise 17 indices, and include 78 of the original 104 priority criteria and variables. The PROMETHEE and GAIA methods proved very efficient for prioritisation and quantitative categorisation of socio-environmental determinants and for better determining which criteria should be considered for interrupting the man-T. cruzi-vector relationship in endemic areas of the Americas. Through the analysis of spatial autocorrelation it is clear that there is a spatial dependence in establishing categories of vulnerability, therefore, the effect of neighbors' setting (border areas) on local values should be incorporated into disease management for establishing programs of surveillance and control of CD via vector. The study model proposed here is flexible and

  18. Exploring the impact of residential relocation on modal shift in commute trips : Evidence from a quasi-longitudinal analysis

    NARCIS (Netherlands)

    Yang, M.; Wu, J.; Rasouli, S.; Cirillo, C.; Li, D.

    2017-01-01

    A growing number of studies have been devoted to the effects of residential relocation on travel behavior. However, most of these studies only focus on the direct effects of personal and system characteristics; while, residential relocation may trigger several interrelated changes in activity-travel

  19. Demonstration of a modelling-based multi-criteria decision analysis procedure for prioritisation of occupational risks from manufactured nanomaterials.

    Science.gov (United States)

    Hristozov, Danail; Zabeo, Alex; Alstrup Jensen, Keld; Gottardo, Stefania; Isigonis, Panagiotis; Maccalman, Laura; Critto, Andrea; Marcomini, Antonio

    2016-11-01

    Several tools to facilitate the risk assessment and management of manufactured nanomaterials (MN) have been developed. Most of them require input data on physicochemical properties, toxicity and scenario-specific exposure information. However, such data are yet not readily available, and tools that can handle data gaps in a structured way to ensure transparent risk analysis for industrial and regulatory decision making are needed. This paper proposes such a quantitative risk prioritisation tool, based on a multi-criteria decision analysis algorithm, which combines advanced exposure and dose-response modelling to calculate margins of exposure (MoE) for a number of MN in order to rank their occupational risks. We demonstrated the tool in a number of workplace exposure scenarios (ES) involving the production and handling of nanoscale titanium dioxide, zinc oxide (ZnO), silver and multi-walled carbon nanotubes. The results of this application demonstrated that bag/bin filling, manual un/loading and dumping of large amounts of dry powders led to high emissions, which resulted in high risk associated with these ES. The ZnO MN revealed considerable hazard potential in vivo, which significantly influenced the risk prioritisation results. In order to study how variations in the input data affect our results, we performed probabilistic Monte Carlo sensitivity/uncertainty analysis, which demonstrated that the performance of the proposed model is stable against changes in the exposure and hazard input variables.

  20. GIS-based multicriteria municipal solid waste landfill suitability analysis: a review of the methodologies performed and criteria implemented.

    Science.gov (United States)

    Demesouka, O E; Vavatsikos, A P; Anagnostopoulos, K P

    2014-04-01

    Multicriteria spatial decision support systems (MC-SDSS) have emerged as an integration of the geographical information systems (GIS) and multiple criteria decision analysis (MCDA) methods. GIS-based MCDA allows the incorporation of conflicting objectives and decision maker (DM) preferences into spatial decision models. During recent decades, a variety of research articles have been published regarding the implementation of methods and/or tools in a variety of real-world case studies. The article discusses, in detail, the criteria and methods that are implemented in GIS-based landfill siting suitability analysis and especially the exclusionary and non-exclusionary criteria that can be considered when selecting sites for municipal solid waste (MSW) landfills. This paper reviews 36 seminal articles in which the evaluation of candidate landfill sites is conducted using MCDA methods. After a brief description of the main components of a MC-SDSS and the applied decision rules, the review focuses on the criteria incorporated into the decision models. The review provides a comprehensive guide to the landfill siting analysis criteria, providing details regarding the utilization methods, their decision or exclusionary nature and their monotonicity.

  1. Comparative analysis of Pareto surfaces in multi-criteria IMRT planning

    Energy Technology Data Exchange (ETDEWEB)

    Teichert, K; Suess, P; Serna, J I; Monz, M; Kuefer, K H [Department of Optimization, Fraunhofer Institute for Industrial Mathematics (ITWM), Fraunhofer Platz 1, 67663 Kaiserslautern (Germany); Thieke, C, E-mail: katrin.teichert@itwm.fhg.de [Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg (Germany)

    2011-06-21

    In the multi-criteria optimization approach to IMRT planning, a given dose distribution is evaluated by a number of convex objective functions that measure tumor coverage and sparing of the different organs at risk. Within this context optimizing the intensity profiles for any fixed set of beams yields a convex Pareto set in the objective space. However, if the number of beam directions and irradiation angles are included as free parameters in the formulation of the optimization problem, the resulting Pareto set becomes more intricate. In this work, a method is presented that allows for the comparison of two convex Pareto sets emerging from two distinct beam configuration choices. For the two competing beam settings, the non-dominated and the dominated points of the corresponding Pareto sets are identified and the distance between the two sets in the objective space is calculated and subsequently plotted. The obtained information enables the planner to decide if, for a given compromise, the current beam setup is optimal. He may then re-adjust his choice accordingly during navigation. The method is applied to an artificial case and two clinical head neck cases. In all cases no configuration is dominating its competitor over the whole Pareto set. For example, in one of the head neck cases a seven-beam configuration turns out to be superior to a nine-beam configuration if the highest priority is the sparing of the spinal cord. The presented method of comparing Pareto sets is not restricted to comparing different beam angle configurations, but will allow for more comprehensive comparisons of competing treatment techniques (e.g. photons versus protons) than with the classical method of comparing single treatment plans.

  2. Multicriteria Analysis for universalization of electricity services in isolated rural households in the region Norte Fluminense

    Directory of Open Access Journals (Sweden)

    Luiz Mendes

    2015-02-01

    Full Text Available Besides hydropower Brazil has considerable potential wind and solar that can contribute to the universalization of electricity services in remote communities. This is because the program “Luz para todos” has a high cost to the wild places and thus, the universal becomes uneconomical. In the present study, we used the AHP method classic and Borda for multicriteria problems with the objective of choosing the type of supply electricity to an isolated rural domicile with average consumption of 150kWh of electricity and located in the northern region of Rio de Janeiro. For this, we considered four alternatives based on quantitative and qualitative criteria and modeled in six different situations, which are corresponding to distances from houses to the mains conventional dealership. We performed the modeling of the problem with the AHP to select the best source of energy supply, then immediately applied the Borda method for ranking of alternative sources of energy supply, and finally, we propose a new methodology for integration of AHP method to the Borda. Thus, the application of the two methods separately and also the new proposal of integration of these showed similar results as the best alternative for the supply of electricity to the rural domicile isolated situations in the six proposals. Since the supply of conventional dealership was the best alternative for zero distance 500 meters (cases one and two for both methods applied, but for other situations renewables become viable in relation to the grid the concessionaire. Worked so pointed that the greater the distance from houses to the grid, the greater the viability of renewable energy. Furthermore, the results show that renewables can contribute to meeting the demand for electricity in isolated communities and also point to the need to review the policies of universal electrical services in view of the potential wind and solar to be explored in Northern region of the state of Rio de

  3. Comparative analysis of Pareto surfaces in multi-criteria IMRT planning.

    Science.gov (United States)

    Teichert, K; Süss, P; Serna, J I; Monz, M; Küfer, K H; Thieke, C

    2011-06-21

    In the multi-criteria optimization approach to IMRT planning, a given dose distribution is evaluated by a number of convex objective functions that measure tumor coverage and sparing of the different organs at risk. Within this context optimizing the intensity profiles for any fixed set of beams yields a convex Pareto set in the objective space. However, if the number of beam directions and irradiation angles are included as free parameters in the formulation of the optimization problem, the resulting Pareto set becomes more intricate. In this work, a method is presented that allows for the comparison of two convex Pareto sets emerging from two distinct beam configuration choices. For the two competing beam settings, the non-dominated and the dominated points of the corresponding Pareto sets are identified and the distance between the two sets in the objective space is calculated and subsequently plotted. The obtained information enables the planner to decide if, for a given compromise, the current beam setup is optimal. He may then re-adjust his choice accordingly during navigation. The method is applied to an artificial case and two clinical head neck cases. In all cases no configuration is dominating its competitor over the whole Pareto set. For example, in one of the head neck cases a seven-beam configuration turns out to be superior to a nine-beam configuration if the highest priority is the sparing of the spinal cord. The presented method of comparing Pareto sets is not restricted to comparing different beam angle configurations, but will allow for more comprehensive comparisons of competing treatment techniques (e.g., photons versus protons) than with the classical method of comparing single treatment plans.

  4. Comparative analysis of Pareto surfaces in multi-criteria IMRT planning

    International Nuclear Information System (INIS)

    Teichert, K; Suess, P; Serna, J I; Monz, M; Kuefer, K H; Thieke, C

    2011-01-01

    In the multi-criteria optimization approach to IMRT planning, a given dose distribution is evaluated by a number of convex objective functions that measure tumor coverage and sparing of the different organs at risk. Within this context optimizing the intensity profiles for any fixed set of beams yields a convex Pareto set in the objective space. However, if the number of beam directions and irradiation angles are included as free parameters in the formulation of the optimization problem, the resulting Pareto set becomes more intricate. In this work, a method is presented that allows for the comparison of two convex Pareto sets emerging from two distinct beam configuration choices. For the two competing beam settings, the non-dominated and the dominated points of the corresponding Pareto sets are identified and the distance between the two sets in the objective space is calculated and subsequently plotted. The obtained information enables the planner to decide if, for a given compromise, the current beam setup is optimal. He may then re-adjust his choice accordingly during navigation. The method is applied to an artificial case and two clinical head neck cases. In all cases no configuration is dominating its competitor over the whole Pareto set. For example, in one of the head neck cases a seven-beam configuration turns out to be superior to a nine-beam configuration if the highest priority is the sparing of the spinal cord. The presented method of comparing Pareto sets is not restricted to comparing different beam angle configurations, but will allow for more comprehensive comparisons of competing treatment techniques (e.g. photons versus protons) than with the classical method of comparing single treatment plans.

  5. Evaluating community investments in the mining sector using multi-criteria decision analysis to integrate SIA with business planning

    International Nuclear Information System (INIS)

    Esteves, A.M.

    2008-01-01

    Gaining senior management's commitment to long-term social development projects, which are characterised by uncertainty and complexity, is made easier if projects are shown to benefit the site's strategic goals. However, even though the business case for community investment may have been accepted at a general level, as a strategy for competitive differentiation, risk mitigation and a desire to deliver - and to be seen to deliver - a 'net benefit' to affected communities, mining operations are still faced with implementation challenges. Case study research on mining companies, including interviews with social investment decision-makers, has assisted in developing the Social Investment Decision Analysis Tool (SIDAT), a decision model for evaluating social projects in order to create value for both the company and the community. Multi-criteria decision analysis techniques integrating business planning processes with social impact assessment have proved useful in assisting mining companies think beyond the traditional drivers (i.e. seeking access to required lands and peaceful relations with neighbours), to broader issues of how they can meet their business goals and contribute to sustainable development in the regions in which they operate

  6. A Selection Approach for Optimized Problem-Solving Process by Grey Relational Utility Model and Multicriteria Decision Analysis

    Directory of Open Access Journals (Sweden)

    Chih-Kun Ke

    2012-01-01

    Full Text Available In business enterprises, especially the manufacturing industry, various problem situations may occur during the production process. A situation denotes an evaluation point to determine the status of a production process. A problem may occur if there is a discrepancy between the actual situation and the desired one. Thus, a problem-solving process is often initiated to achieve the desired situation. In the process, how to determine an action need to be taken to resolve the situation becomes an important issue. Therefore, this work uses a selection approach for optimized problem-solving process to assist workers in taking a reasonable action. A grey relational utility model and a multicriteria decision analysis are used to determine the optimal selection order of candidate actions. The selection order is presented to the worker as an adaptive recommended solution. The worker chooses a reasonable problem-solving action based on the selection order. This work uses a high-tech company’s knowledge base log as the analysis data. Experimental results demonstrate that the proposed selection approach is effective.

  7. Multicriteria Decision Analysis in Improving Quality of Design in Femoral Component of Knee Prostheses: Influence of Interface Geometry and Material

    Directory of Open Access Journals (Sweden)

    Ali Jahan

    2015-01-01

    Full Text Available Knee prostheses as medical products require careful application of quality and design tool to ensure the best performance. Therefore, quality function deployment (QFD was proposed as a quality tool to systematically integrate consumer’s expectation to perceived needs by medical and design team and to explicitly address the translation of customer needs into engineering characteristics. In this study, full factorial design of experiment (DOE method was accompanied by finite element analysis (FEA to evaluate the effect of inner contours of femoral component on mechanical stability of the implant and biomechanical stresses within the implant components and adjacent bone areas with preservation of the outer contours for standard Co-Cr alloy and a promising functionally graded material (FGM. The ANOVA revealed that the inner shape of femoral component influenced the performance measures in which the angle between the distal and anterior cuts and the angle between the distal and posterior cuts were greatly influential. In the final ranking of alternatives, using multicriteria decision analysis (MCDA, the designs with FGM was ranked first over the Co-Cr femoral component, but the original design with Co-Cr material was not the best choice femoral component, among the top ranked design with the same material.

  8. Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems

    Science.gov (United States)

    Georgiou, Andreas; Skarlatos, Dimitrios

    2016-07-01

    Among the renewable power sources, solar power is rapidly becoming popular because it is inexhaustible, clean, and dependable. It has also become more efficient since the power conversion efficiency of photovoltaic solar cells has increased. Following these trends, solar power will become more affordable in years to come and considerable investments are to be expected. Despite the size of solar plants, the sitting procedure is a crucial factor for their efficiency and financial viability. Many aspects influence such a decision: legal, environmental, technical, and financial to name a few. This paper describes a general integrated framework to evaluate land suitability for the optimal placement of photovoltaic solar power plants, which is based on a combination of a geographic information system (GIS), remote sensing techniques, and multi-criteria decision-making methods. An application of the proposed framework for the Limassol district in Cyprus is further illustrated. The combination of a GIS and multi-criteria methods produces an excellent analysis tool that creates an extensive database of spatial and non-spatial data, which will be used to simplify problems as well as solve and promote the use of multiple criteria. A set of environmental, economic, social, and technical constrains, based on recent Cypriot legislation, European's Union policies, and expert advice, identifies the potential sites for solar park installation. The pairwise comparison method in the context of the analytic hierarchy process (AHP) is applied to estimate the criteria weights in order to establish their relative importance in site evaluation. In addition, four different methods to combine information layers and check their sensitivity were used. The first considered all the criteria as being equally important and assigned them equal weight, whereas the others grouped the criteria and graded them according to their objective perceived importance. The overall suitability of the study

  9. Assessing the value of healthcare interventions using multi-criteria decision analysis: a review of the literature.

    Science.gov (United States)

    Marsh, Kevin; Lanitis, Tereza; Neasham, David; Orfanos, Panagiotis; Caro, Jaime

    2014-04-01

    The objective of this study is to support those undertaking a multi-criteria decision analysis (MCDA) by reviewing the approaches adopted in healthcare MCDAs to date, how these varied with the objective of the study, and the lessons learned from this experience. Searches of EMBASE and MEDLINE identified 40 studies that provided 41 examples of MCDA in healthcare. Data were extracted on the objective of the study, methods employed, and decision makers' and study authors' reflections on the advantages and disadvantages of the methods. The recent interest in MCDA in healthcare is mirrored in an increase in the application of MCDA to evaluate healthcare interventions. Of the studies identified, the first was published in 1990, but more than half were published since 2011. They were undertaken in 18 different countries, and were designed to support investment (coverage and reimbursement), authorization, prescription, and research funding allocation decisions. Many intervention types were assessed: pharmaceuticals, public health interventions, screening, surgical interventions, and devices. Most used the value measurement approach and scored performance using predefined scales. Beyond these similarities, a diversity of different approaches were adopted, with only limited correspondence between the approach and the type of decision or product. Decision makers consulted as part of these studies, as well as the authors of the studies are positive about the potential of MCDA to improve decision making. Further work is required, however, to develop guidance for those undertaking MCDA.

  10. A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK.

    Science.gov (United States)

    Yap, H Y; Nixon, J D

    2015-12-01

    Energy recovery from municipal solid waste plays a key role in sustainable waste management and energy security. However, there are numerous technologies that vary in suitability for different economic and social climates. This study sets out to develop and apply a multi-criteria decision making methodology that can be used to evaluate the trade-offs between the benefits, opportunities, costs and risks of alternative energy from waste technologies in both developed and developing countries. The technologies considered are mass burn incineration, refuse derived fuel incineration, gasification, anaerobic digestion and landfill gas recovery. By incorporating qualitative and quantitative assessments, a preference ranking of the alternative technologies is produced. The effect of variations in decision criteria weightings are analysed in a sensitivity analysis. The methodology is applied principally to compare and assess energy recovery from waste options in the UK and India. These two countries have been selected as they could both benefit from further development of their waste-to-energy strategies, but have different technical and socio-economic challenges to consider. It is concluded that gasification is the preferred technology for the UK, whereas anaerobic digestion is the preferred technology for India. We believe that the presented methodology will be of particular value for waste-to-energy decision-makers in both developed and developing countries. Copyright © 2015 Elsevier Ltd. All rights reserved.

  11. Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies

    Science.gov (United States)

    Chalabi, Zaid; Milojevic, Ai; Doherty, Ruth M.; Stevenson, David S.; MacKenzie, Ian A.; Milner, James; Vieno, Massimo; Williams, Martin; Wilkinson, Paul

    2017-10-01

    A decision support system for evaluating UK air quality policies is presented. It combines the output from a chemistry transport model, a health impact model and other impact models within a multi-criteria decision analysis (MCDA) framework. As a proof-of-concept, the MCDA framework is used to evaluate and compare idealized emission reduction policies in four sectors (combustion in energy and transformation industries, non-industrial combustion plants, road transport and agriculture) and across six outcomes or criteria (mortality, health inequality, greenhouse gas emissions, biodiversity, crop yield and air quality legal compliance). To illustrate a realistic use of the MCDA framework, the relative importance of the criteria were elicited from a number of stakeholders acting as proxy policy makers. In the prototype decision problem, we show that reducing emissions from industrial combustion (followed very closely by road transport and agriculture) is more advantageous than equivalent reductions from the other sectors when all the criteria are taken into account. Extensions of the MCDA framework to support policy makers in practice are discussed.

  12. Comparing Sprinkler and Surface Irrigation for Wheat Using Multi-Criteria Analysis: Water Saving vs. Economic Returns

    Directory of Open Access Journals (Sweden)

    Hanaa Darouich

    2017-01-01

    Full Text Available Coping with water scarcity using supplemental irrigation of wheat (Triticum aestivum L. in the semi-arid northeast Syria is a great challenge for sustainable water use in agriculture. Graded borders and set sprinkler systems were compared using multi-criteria analysis. Alternative solutions for surface irrigation and for sprinkler systems were developed with the SADREG and the PROASPER design models, respectively. For each alternative, two deficit irrigation strategies were considered, which were characterized using indicators relative to irrigation water use, yields and water productivity, including farm economic returns. Alternatives were ranked considering two contrasting priorities: economic returns and water saving. A first step in ranking led to a selection of graded borders with and without precise land levelling and of solid set and semi-permanent sprinkler systems. Precise-levelled borders were better for water saving, while non-precise ones ranked higher for economic returns. Semi-permanent set systems have been shown to be better in economic terms and similar to solid set systems when water saving is prioritized. Semi-permanent sprinkler systems rank first when comparing all type of systems together regardless of the considered deficit irrigation strategy. Likely, border irrigation is appropriate when wheat is in rotation with cotton if the latter is surface irrigated. When peace becomes effective, appropriate economic incentives and training for farmers are required to implement innovative approaches.

  13. Making Good Decisions in Healthcare with Multi-Criteria Decision Analysis: The Use, Current Research and Future Development of MCDA.

    Science.gov (United States)

    Mühlbacher, Axel C; Kaczynski, Anika

    2016-02-01

    Healthcare decision making is usually characterized by a low degree of transparency. The demand for transparent decision processes can be fulfilled only when assessment, appraisal and decisions about health technologies are performed under a systematic construct of benefit assessment. The benefit of an intervention is often multidimensional and, thus, must be represented by several decision criteria. Complex decision problems require an assessment and appraisal of various criteria; therefore, a decision process that systematically identifies the best available alternative and enables an optimal and transparent decision is needed. For that reason, decision criteria must be weighted and goal achievement must be scored for all alternatives. Methods of multi-criteria decision analysis (MCDA) are available to analyse and appraise multiple clinical endpoints and structure complex decision problems in healthcare decision making. By means of MCDA, value judgments, priorities and preferences of patients, insurees and experts can be integrated systematically and transparently into the decision-making process. This article describes the MCDA framework and identifies potential areas where MCDA can be of use (e.g. approval, guidelines and reimbursement/pricing of health technologies). A literature search was performed to identify current research in healthcare. The results showed that healthcare decision making is addressing the problem of multiple decision criteria and is focusing on the future development and use of techniques to weight and score different decision criteria. This article emphasizes the use and future benefit of MCDA.

  14. A Multi-Criteria Decision Analysis of Waste Treatment Options for Food and Biodegradable Waste Management in Japan

    Directory of Open Access Journals (Sweden)

    Micky A. Babalola

    2015-10-01

    Full Text Available Dealing with large-scale Food and Biodegradable Waste (FBW often results in many logistical problems and environmental impacts to be considered. These can become great hindrances when the integration of solid waste management is concerned. Extra care is needed to plan such waste disposal or treatment services and facilities, especially with respect to the ecological impact. Decision-making with regards to the sustainable use of these facilities also involves tradeoffs between a number of conflicting objectives, since increasing one benefit may decrease the others. In this study a Multi-Criteria Decision Analysis (MCDA is presented to evaluate different waste management options and their applicability in Japan. The analytical process aims at selecting the most suitable waste treatment option, using pairwise comparisons conducted within a decision hierarchy that was developed through the Analytical Hierarchy Process (AHP. The results of this study show that anaerobic digestion should be chosen as the best FBW treatment option with regards to resource recovery. The study also presents some conditions and recommendations that can enhance the suitability of other options like incineration and composting.

  15. Environmental, Human Health and Socio-Economic Effects of Cement Powders: The Multicriteria Analysis as Decisional Methodology.

    Science.gov (United States)

    Moretti, Laura; Di Mascio, Paola; Bellagamba, Simona

    2017-06-16

    The attention to sustainability-related issues has grown fast in recent decades. The experience gained with these themes reveals the importance of considering this topic in the construction industry, which represents an important sector throughout the world. This work consists on conducting a multicriteria analysis of four cement powders, with the objective of calculating and analysing the environmental, human health and socio-economic effects of their production processes. The economic, technical, environmental and safety performances of the examined powders result from official, both internal and public, documents prepared by the producers. The Analytic Hierarchy Process permitted to consider several indicators (i.e., environmental, human health related and socio-economic parameters) and to conduct comprehensive and unbiased analyses which gave the best, most sustainable cement powder. As assumed in this study, the contribution of each considered parameter to the overall sustainability has a different incidence, therefore the procedure could be used to support on-going sustainability efforts under different conditions. The results also prove that it is not appropriate to regard only one parameter to identify the 'best' cement powder, but several impact categories should be considered and analysed if there is an interest for pursuing different, often conflicting interests.

  16. Improving farming practices using multi-criteria decision analysis in geographic information system for Damask Rose cultivating

    Directory of Open Access Journals (Sweden)

    B. Shokati

    2016-12-01

    Full Text Available Lack of awareness of the critical factors involved in production of plants and sometimes, the cultivation of plants in areas unsusceptible to plant, can increase the amount of chemical fertilizer consumption in order to compensate the subsequent reduction of plant yield. This would increase environmental pollution. Thus, identifying of suitable areas where could supply plants initial needs of the environment is critical. For this goal, several criteria including soil conditions, climatologically indicators, topography situation and agro-climatology criteria were taken into account of modeling processing. Doing so, standardization process was performed on criteria and weighting process was performed by using of analytic hierarchy process approach. Geographical information system based on multi-criteria decision analysis was employed for weighted overlapping of indicators. Initial results indicated that East-Azerbaijan Province in the northern part of Iran has high potential for cultivating of Damask Rose. Results indicate that about 34.4% of East Azerbaijan Province has classified to be high suitability for cultivating this plant, while about 65.5 and 0.1 % of this area classified to be in the moderate and low suitability category respectively. In comparison of Damask Rose production during the 2014 and resulted analytic hierarchy process map results showed that areas with high suitability are not more under cultivation of this plant. Then, the findings of this study are great of importance for the purpose of regional planning in East-Azerbaijan Province.

  17. MEASURING LAND USES ACCESSIBILITY BY USING FUZZY MAJORITY GIS-BASED MULTICRITERIA DECISION ANALYSIS CASE STUDY: MALAYER CITY

    Directory of Open Access Journals (Sweden)

    A. Taravat

    2014-10-01

    Full Text Available Public spaces accessibility has become one of the important factors in urban planning. Therefore, considerable attention has been given to measure accessibility to public spaces on the UK, US and Canada, but there are few studies outside the anglophone world especially in developing countries such as Iran. In this study an attempt has been made to measure objective accessibility to public spaces (parks, school, library and administrative using fuzzy majority GIS-based multicriteria decision analysis. This method is for defining the priority for distribution of urban facilities and utilities as the first step towards elimination of social justice. In order to test and demonstrate the presented model, the comprehensive plan of Malayer city has been considered for ranking in three objectives and properties in view of index per capital (Green space, sport facilities and major cultural centers like library and access index. The results can be used to inform the local planning process and the GIS approach can be expanded into other local authority domains. The results shows that the distribution of facilities in Malayer city has followed on the base of cost benefit law and the human aspect of resource allocation programming of facilities (from centre to suburbs of the city.

  18. Collaborative environmental planning in river management: an application of multicriteria decision analysis in the White River Watershed in Vermont.

    Science.gov (United States)

    Hermans, Caroline; Erickson, Jon; Noordewier, Tom; Sheldon, Amy; Kline, Mike

    2007-09-01

    Multicriteria decision analysis (MCDA) provides a well-established family of decision tools to aid stakeholder groups in arriving at collective decisions. MCDA can also function as a framework for the social learning process, serving as an educational aid in decision problems characterized by a high level of public participation. In this paper, the framework and results of a structured decision process using the outranking MCDA methodology preference ranking organization method of enrichment evaluation (PROMETHEE) are presented. PROMETHEE is used to frame multi-stakeholder discussions of river management alternatives for the Upper White River of Central Vermont, in the northeastern United States. Stakeholders met over 10 months to create a shared vision of an ideal river and its services to communities, develop a list of criteria by which to evaluate river management alternatives, and elicit preferences to rank and compare individual and group preferences. The MCDA procedure helped to frame a group process that made stakeholder preferences explicit and substantive discussions about long-term river management possible.

  19. Incorporation of Socio-Economic Features' Ranking in Multicriteria Analysis Based on Ecosystem Services for Marine Protected Area Planning.

    Directory of Open Access Journals (Sweden)

    Michelle E Portman

    Full Text Available Developed decades ago for spatial choice problems related to zoning in the urban planning field, multicriteria analysis (MCA has more recently been applied to environmental conflicts and presented in several documented cases for the creation of protected area management plans. Its application is considered here for the development of zoning as part of a proposed marine protected area management plan. The case study incorporates specially-explicit conservation features while considering stakeholder preferences, expert opinion and characteristics of data quality. It involves the weighting of criteria using a modified analytical hierarchy process. Experts ranked physical attributes which include socio-economically valued physical features. The parameters used for the ranking of (physical attributes important for socio-economic reasons are derived from the field of ecosystem services assessment. Inclusion of these feature values results in protection that emphasizes those areas closest to shore, most likely because of accessibility and familiarity parameters and because of data biases. Therefore, other spatial conservation prioritization methods should be considered to supplement the MCA and efforts should be made to improve data about ecosystem service values farther from shore. Otherwise, the MCA method allows incorporation of expert and stakeholder preferences and ecosystem services values while maintaining the advantages of simplicity and clarity.

  20. Measuring Land Uses Accessibility by Using Fuzzy Majority Gis-Based Multicriteria Decision Analysis Case Study: Malayer City

    Science.gov (United States)

    Taravat, A.; Yari, A.; Rajaei, M.; Mousavian, R.

    2014-10-01

    Public spaces accessibility has become one of the important factors in urban planning. Therefore, considerable attention has been given to measure accessibility to public spaces on the UK, US and Canada, but there are few studies outside the anglophone world especially in developing countries such as Iran. In this study an attempt has been made to measure objective accessibility to public spaces (parks, school, library and administrative) using fuzzy majority GIS-based multicriteria decision analysis. This method is for defining the priority for distribution of urban facilities and utilities as the first step towards elimination of social justice. In order to test and demonstrate the presented model, the comprehensive plan of Malayer city has been considered for ranking in three objectives and properties in view of index per capital (Green space, sport facilities and major cultural centers like library and access index). The results can be used to inform the local planning process and the GIS approach can be expanded into other local authority domains. The results shows that the distribution of facilities in Malayer city has followed on the base of cost benefit law and the human aspect of resource allocation programming of facilities (from centre to suburbs of the city).

  1. Assessing the vulnerability of Brazilian municipalities to the vectorial transmission of Trypanosoma cruzi using multi-criteria decision analysis.

    Science.gov (United States)

    Vinhaes, Márcio Costa; de Oliveira, Stefan Vilges; Reis, Priscilleyne Ouverney; de Lacerda Sousa, Ana Carolina; Silva, Rafaella Albuquerque E; Obara, Marcos Takashi; Bezerra, Cláudia Mendonça; da Costa, Veruska Maia; Alves, Renato Vieira; Gurgel-Gonçalves, Rodrigo

    2014-09-01

    Despite the dramatic reduction in Trypanosoma cruzi vectorial transmission in Brazil, acute cases of Chagas disease (CD) continue to be recorded. The identification of areas with greater vulnerability to the occurrence of vector-borne CD is essential to prevention, control, and surveillance activities. In the current study, data on the occurrence of domiciliated triatomines in Brazil (non-Amazonian regions) between 2007 and 2011 were analyzed. Municipalities' vulnerability was assessed based on socioeconomic, demographic, entomological, and environmental indicators using multi-criteria decision analysis (MCDA). Overall, 2275 municipalities were positive for at least one of the six triatomine species analyzed (Panstrongylus megistus, Triatoma infestans, Triatoma brasiliensis, Triatoma pseudomaculata, Triatoma rubrovaria, and Triatoma sordida). The municipalities that were most vulnerable to vector-borne CD were mainly in the northeast region and exhibited a higher occurrence of domiciliated triatomines, lower socioeconomic levels, and more extensive anthropized areas. Most of the 39 new vector-borne CD cases confirmed between 2001 and 2012 in non-Amazonian regions occurred within the more vulnerable municipalities. Thus, MCDA can help to identify the states and municipalities that are most vulnerable to the transmission of T. cruzi by domiciliated triatomines, which is critical for directing adequate surveillance, prevention, and control activities. The methodological approach and results presented here can be used to enhance CD surveillance in Brazil. Copyright © 2014 Elsevier B.V. All rights reserved.

  2. Addressing the disconnect between public health science and personalised health care: the potential role of cluster analysis in combination with multi-criteria decision analysis

    DEFF Research Database (Denmark)

    Kaltoft, Mette Kjer; Dowie, Jack; Turner, Robin

    2013-01-01

    Background: Public health promotion and person-centred health care are being pursued simultaneously, with little attempt to resolve the conflict between them. One necessary step is to accept that health-care decisions involve multiple criteria and hence are preference sensitive. A second...... is to arrive at the necessary compromise between an individualised public policy (using each individual's preferences) and a deindividualised policy (using mean population preferences) in a more rigorous and transparent way. We show how cluster analysis can be combined with multi-criteria decision analysis...... (MCDA) to facilitate progression from variable-centred to person-centred public health, albeit at a subgroup level. Methods: Cluster analysis encompasses various techniques designed to detect patterns in the characteristics of individuals to establish the basis for policy decisions targeted at subgroups...

  3. Routeing of power lines through least-cost path analysis and multicriteria evaluation to minimise environmental impacts

    International Nuclear Information System (INIS)

    Bagli, Stefano; Geneletti, Davide; Orsi, Francesco

    2011-01-01

    Least-cost path analysis (LCPA) allows designers to find the 'cheapest' way to connect two locations within a cost surface, which can be computed by combining multiple criteria, and therefore by accounting for different issues (environmental impact, economic investment, etc.). This procedure can be easily implemented with modern Geographic Information System (GIS) technologies, and consequently it has been widely employed to support planning and design of different types of linear infrastructures, ranging from roads to pipelines. This paper presents an approach based on the integration of multicriteria evaluation (MCE) and LCPA to identify the most suitable route for a 132 kV power line. Criteria such as cost, visibility, population density, and ecosystem naturalness were used for the analysis. Firstly, spatial MCE and LCPA were combined to generate cost surfaces, and to identify alternative paths. Subsequently, MCE was used to compare the alternatives, and rank them according to their overall suitability. Finally, a sensitivity analysis allowed the stability of the results to be tested and the most critical factors of the evaluation to be detected. The study found that small changes in the location of the power line start and end points can result in significantly different paths, and consequently impact levels. This suggested that planners should always consider alternative potential locations of terminals in order to identify the best path. Furthermore, it was shown that the use of different weight scenarios may help making the model adaptable to varying environmental and social contexts. The approach was tested on a real-world case study in north-eastern Italy.

  4. An assessment of site suitability for marina construction in Istanbul, Turkey, using GIS and AHP multicriteria decision analysis.

    Science.gov (United States)

    Gumusay, Mustafa Umit; Koseoglu, Gokalp; Bakirman, Tolga

    2016-12-01

    Marinas play a key role in sea transportation and tourism. The problem of an insufficient marina capacity has revealed in terms of sea traffic due to the demographic structure and increasing tourism potential of Istanbul which is the biggest metropolitan city of Turkey and has around 600-km-long coastline. Therefore, the study area is mainly focused on the Marmara Sea shoreline of Istanbul. Rather than traditional methods, a rapid and cost-effective solution which considers natural and urban environment conditions is essential to satisfy the need for a marina site selection. Thanks to the latest improvements in geographic information systems, it is convenient to perform location selection analysis of marinas taking advantages of geology, land use, demography and accessibility data sets. The goal of this study is to define the areas that are appropriate for building marinas, with the use of topographic and demographic data in a present shoreline applying analytical hierarchy process multicriteria decision-making method. In this study, erosion, landslide, tsunami, land use, geologically hazardous areas, transfer lines, sea traffic data, neighbourhood scale population, age patterns and house income data have been used. Analytical hierarchy process method is used to give a weight to each data set, and a grading system has been developed for the area selection of marinas. The result maps of the analysis that show study area as classified into four categories from good to not suitable are presented. It is possible to create a decision support system for upper scale plans that enable authorities to perform analysis accurately, cost and time effectively using the proposed methodology that integrates multiple data sets with different scales and types.

  5. Optimal Waste Load Allocation Using Multi-Objective Optimization and Multi-Criteria Decision Analysis

    Directory of Open Access Journals (Sweden)

    L. Saberi

    2016-10-01

    , five alternatives and their performances under criteria are found. Values that are calculated by MOPSO are applied to form the cardinal Multi-Criteria Decision Making (MCDM matrix. Afterwards, the cardinal MCDM matrix is transformed into the ordinal form. For studying competitive behaviors in such situations, a mathematical tool called game theory is used. Hence the transition matrix is formed for solving the problem by game theory and qualitative data. Finally the best non-dominated solution is defined using the Nash conflict resolution theory. Results and Discussion: The interaction point of the Sefidrood River and Caspian Sea is considered as a checkpoint and the standard amount of BOD considering the Iranian Protection Agency’s standards is equivalent to 5 mg/l. In the studied area, none of waste load dischargers perform current wastewater treatment. Under this circumstance, the BOD has the value of 26.59 mg/l which violated its standard amount. By MOPSO algorithm and Nash theory five alternatives, which each of them includes both the amount of BOD in checkpoint and treatment and penalty total cost, are obtained for two decision makers. The best and final alternative, that is preferred by both of decision-makers, reduces the BOD amount and the total payable cost to 6.16 mg/l and 296,293 $/year respectively. Conclusion: The practical utility of the proposed model in decision-making is illustrated through a realistic example of the Sefidrood River in the northern part of Iran. As a final alternative, that suggests the most economical measurement by minimizing of treatment and penalty total cost, there are acceptable percentage of treatment per discharge and the violation of standard for BOD parameter is negligible.

  6. Determining the Value of Two Biologic Drugs for Chronic Inflammatory Skin Diseases: Results of a Multi-Criteria Decision Analysis.

    Science.gov (United States)

    Zozaya, Néboa; Martínez-Galdeano, Lucía; Alcalá, Bleric; Armario-Hita, Jose Carlos; Carmona, Concepción; Carrascosa, Jose Manuel; Herranz, Pedro; Lamas, María Jesús; Trapero-Bertran, Marta; Hidalgo-Vega, Álvaro

    2018-05-29

    Multi-criteria decision analysis (MCDA) is a tool that systematically considers multiple factors relevant to health decision-making. The aim of this study was to use an MCDA to assess the value of dupilumab for severe atopic dermatitis compared with secukinumab for moderate to severe plaque psoriasis in Spain. Following the EVIDEM (Evidence and Value: Impact on DEcision Making) methodology, the estimated value of both interventions was obtained by means of an additive linear model that combined the individual weighting (between 1 and 5) of each criterion with the individual scoring of each intervention in each criterion. Dupilumab was evaluated against placebo, while secukinumab was evaluated against placebo, etanercept and ustekinumab. A retest was performed to assess the reproducibility of weights, scores and value estimates. The overall MCDA value estimate for dupilumab versus placebo was 0.51 ± 0.14. This value was higher than those obtained for secukinumab: 0.48 ± 0.15 versus placebo, 0.45 ± 0.15 versus etanercept and 0.39 ± 0.18 versus ustekinumab. The highest-value contribution was reported by the patients' group, followed by the clinical professionals and the decision makers. A fundamental element that explained the difference in the scoring between pathologies was the availability of therapeutic alternatives. The retest confirmed the consistency and replicability of the analysis. Under this methodology, and assuming similar economic costs per patient for both treatments, the results indicated that the overall value estimated of dupilumab for severe atopic dermatitis was similar to, or slightly higher than, that of secukinumab for moderate to severe plaque psoriasis.

  7. Can streamlined multi-criteria decision analysis be used to implement shared decision making for colorectal cancer screening?

    Science.gov (United States)

    Dolan, James G.; Boohaker, Emily; Allison, Jeroan; Imperiale, Thomas F.

    2013-01-01

    Background Current US colorectal cancer screening guidelines that call for shared decision making regarding the choice among several recommended screening options are difficult to implement. Multi-criteria decision analysis (MCDA) is an established methodology well suited for supporting shared decision making. Our study goal was to determine if a streamlined form of MCDA using rank order based judgments can accurately assess patients’ colorectal cancer screening priorities. Methods We converted priorities for four decision criteria and three sub-criteria regarding colorectal cancer screening obtained from 484 average risk patients using the Analytic Hierarchy Process (AHP) in a prior study into rank order-based priorities using rank order centroids. We compared the two sets of priorities using Spearman rank correlation and non-parametric Bland-Altman limits of agreement analysis. We assessed the differential impact of using the rank order-based versus the AHP-based priorities on the results of a full MCDA comparing three currently recommended colorectal cancer screening strategies. Generalizability of the results was assessed using Monte Carlo simulation. Results Correlations between the two sets of priorities for the seven criteria ranged from 0.55 to 0.92. The proportions of absolute differences between rank order-based and AHP-based priorities that were more than ± 0.15 ranged from 1% to 16%. Differences in the full MCDA results were minimal and the relative rankings of the three screening options were identical more than 88% of the time. The Monte Carlo simulation results were similar. Conclusion Rank order-based MCDA could be a simple, practical way to guide individual decisions and assess population decision priorities regarding colorectal cancer screening strategies. Additional research is warranted to further explore the use of these methods for promoting shared decision making. PMID:24300851

  8. Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA

    Directory of Open Access Journals (Sweden)

    Sailesh Samanta

    2016-08-01

    Full Text Available Papua New Guinea is blessed with a plethora of enviable natural resources, but at the same time it is also cursed by quite a few natural disasters like volcanic eruptions, earthquakes, landslide, floods, droughts etc. Floods happen to be a natural process of maintaining the health of the rivers and depth of its thalweg; it saves the river from becoming morbid while toning up the fertility of the riverine landscape. At the same time, from human perspective, all these ecological goodies are nullified when flood is construed overwhelmingly as one of the most devastating events in respect to social and economic consequences. The present investigation was tailored to assess the use of multi-criteria decision approach (MCDA in inland flood risk analysis. Categorization of possible flood risk zones was accomplished using geospatial data sets, like elevation, slope, distance to river, and land use/land cover, which were derived from digital elevation model (DEM and satellite image, respectively. A pilot study area was selected in the lower part of Markham River in Morobe Province, Papua New Guinea. The study area is bounded by 146°31′ to 146°58′ east and 6°33′ to 6°46′ south; covers an area of 758.30 km2. The validation of a flood hazard risk map was carried out using past flood records in the study area. This result suggests that MCDA within GIS techniques is very useful in accurate and reliable flood risk analysis and mapping. This approach is convenient for the assessment of flood in any region, specifically in no-data regions, and can be useful for researchers and planners in flood mitigation strategies.

  9. Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya.

    Science.gov (United States)

    Kihoro, Joseph; Bosco, Njoroge J; Murage, Hunja

    2013-12-01

    Land suitability analysis is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of rice has contributed to the low production. The aim of this study was to develop a suitability map for rice crop based on physical and climatic factors of production using a Multi-Criteria Evaluation (MCE) & GIS approach. The study was carried out in Kirinyaga, Embu and Mberee counties in Kenya. Biophysical variables of soil, climate and topography were considered for suitability analysis. All data were stored in ArcGIS 9.3 environment and the factor maps were generated. For MCE, Pairwise Comparison Matrix was applied and the suitable areas for rice crop were generated and graduated. The current land cover map of the area was developed from a scanned survey map of the rice growing areas. According to the present land cover map, the rice cultivated area was 13,369 ha. Finally, we overlaid the land cover map with the suitability map to identify variances between the present and potential land use. The crop-land evaluation results of the present study showed that, 75% of total area currently being used was under highly suitable areas and 25% was under moderately suitable areas. The results showed that the potential area for rice growing is 86,364 ha and out of this only 12% is under rice cultivation. This research provided information at local level that could be used by farmers to select cropping patterns and suitability.

  10. Urban Vulnerability Assessment to Seismic Hazard through Spatial Multi-Criteria Analysis. Case Study: the Bucharest Municipality/Romania

    Science.gov (United States)

    Armas, Iuliana; Dumitrascu, Silvia; Bostenaru, Maria

    2010-05-01

    In the context of an explosive increase in value of the damage caused by natural disasters, an alarming challenge in the third millennium is the rapid growth of urban population in vulnerable areas. Cities are, by definition, very fragile socio-ecological systems with a high level of vulnerability when it comes to environmental changes and that are responsible for important transformations of the space, determining dysfunctions shown in the state of the natural variables (Parker and Mitchell, 1995, The OFDA/CRED International Disaster Database). A contributing factor is the demographic dynamic that affects urban areas. The aim of this study is to estimate the overall vulnerability of the urban area of Bucharest in the context of the seismic hazard, by using environmental, socio-economic, and physical measurable variables in the framework of a spatial multi-criteria analysis. For this approach the capital city of Romania was chosen based on its high vulnerability due to the explosive urban development and the advanced state of degradation of the buildings (most of the building stock being built between 1940 and 1977). Combining these attributes with the seismic hazard induced by the Vrancea source, Bucharest was ranked as the 10th capital city worldwide in the terms of seismic risk. Over 40 years of experience in the natural risk field shows that the only directly accessible way to reduce the natural risk is by reducing the vulnerability of the space (Adger et al., 2001, Turner et al., 2003; UN/ISDR, 2004, Dayton-Johnson, 2004, Kasperson et al., 2005; Birkmann, 2006 etc.). In effect, reducing the vulnerability of urban spaces would imply lower costs produced by natural disasters. By applying the SMCA method, the result reveals a circular pattern, signaling as hot spots the Bucharest historic centre (located on a river terrace and with aged building stock) and peripheral areas (isolated from the emergency centers and defined by precarious social and economic

  11. Comparing multi-criteria decision analysis and integrated assessment to support long-term water supply planning.

    Directory of Open Access Journals (Sweden)

    Lisa Scholten

    Full Text Available We compare the use of multi-criteria decision analysis (MCDA-or more precisely, models used in multi-attribute value theory (MAVT-to integrated assessment (IA models for supporting long-term water supply planning in a small town case study in Switzerland. They are used to evaluate thirteen system scale water supply alternatives in four future scenarios regarding forty-four objectives, covering technical, social, environmental, and economic aspects. The alternatives encompass both conventional and unconventional solutions and differ regarding technical, spatial and organizational characteristics. This paper focuses on the impact assessment and final evaluation step of the structured MCDA decision support process. We analyze the performance of the alternatives for ten stakeholders. We demonstrate the implications of model assumptions by comparing two IA and three MAVT evaluation model layouts of different complexity. For this comparison, we focus on the validity (ranking stability, desirability (value, and distinguishability (value range of the alternatives given the five model layouts. These layouts exclude or include stakeholder preferences and uncertainties. Even though all five led us to identify the same best alternatives, they did not produce identical rankings. We found that the MAVT-type models provide higher distinguishability and a more robust basis for discussion than the IA-type models. The needed complexity of the model, however, should be determined based on the intended use of the model within the decision support process. The best-performing alternatives had consistently strong performance for all stakeholders and future scenarios, whereas the current water supply system was outperformed in all evaluation layouts. The best-performing alternatives comprise proactive pipe rehabilitation, adapted firefighting provisions, and decentralized water storage and/or treatment. We present recommendations for possible ways of improving water

  12. Multi-criteria analysis towards the new end use of recycled water for household laundry: a case study in Sydney.

    Science.gov (United States)

    Chen, Z; Ngo, H H; Guo, W S; Listowski, A; O'Halloran, K; Thompson, M; Muthukaruppan, M

    2012-11-01

    This paper aims to put forward several management alternatives regarding the application of recycled water for household laundry in Sydney. Based on different recycled water treatment techniques such as microfiltration (MF), granular activated carbon (GAC) or reverse osmosis (RO), and types of washing machines (WMs), five alternatives were proposed as follows: (1) do nothing scenario; (2) MF+existing WMs; (3) MF+new WMs; (4) MF-GAC+existing WMs; and (5) MF-RO+existing WMs. Accordingly, a comprehensive quantitative assessment on the trade-off among a variety of issues (e.g., engineering feasibility, initial cost, energy consumption, supply flexibility and water savings) was performed over the alternatives. This was achieved by a computer-based multi-criteria analysis (MCA) using the rank order weight generation together with preference ranking organization method for enrichment evaluation (PROMETHEE) outranking techniques. Particularly, the generated 10,000 combinations of weights via Monte Carlo simulation were able to significantly reduce the man-made errors of single fixed set of weights because of its objectivity and high efficiency. To illustrate the methodology, a case study on Rouse Hill Development Area (RHDA), Sydney, Australia was carried out afterwards. The study was concluded by highlighting the feasibility of using highly treated recycled water for existing and new washing machines. This could provide a powerful guidance for sustainable water reuse management in the long term. However, more detailed field trials and investigations are still needed to effectively understand, predict and manage the impact of selected recycled water for new end use alternatives. Copyright © 2012 Elsevier B.V. All rights reserved.

  13. Investigation of the effects of the fatty acid profile on fuel properties using a multi-criteria decision analysis

    International Nuclear Information System (INIS)

    Islam, Muhammad Aminul; Brown, Richard J.; Brooks, P.R.; Jahirul, M.I.; Bockhorn, H.; Heimann, Kirsten

    2015-01-01

    Highlights: • Long chain mono-unsaturated fatty acids (C16:1, C18:1) have positive impact on CN. • Very long chain unsaturated fatty acids (C20:5, C22:5, C22:6) increase the fuel density and decrease the cetane number. • Calculated CN overestimated the impact of very long chain unsaturated fatty acids. - Abstract: The structural features of fatty acids in biodiesel, including degree of unsaturation, percentage of saturated fatty acids and average chain length, influence important fuel properties such as cetane number, iodine value, density, kinematic viscosity, higher heating value and oxidation stability. The composition of fatty acid esters within the fuel should therefore be in the correct ratio to ensure fuel properties are within international biodiesel standards such as ASTM 6751 or EN 14214. This study scrutinises the influence of fatty acid composition and individual fatty acids on fuel properties. Fuel properties were estimated based on published equations, and measured according to standard procedure ASTM D6751 and EN 14214 to confirm the influences of the fatty acid profile. Based on fatty acid profile-derived calculations, the cetane number of the microalgal biodiesel was estimated to be 11.6, but measured 46.5, which emphasises the uncertainty of the method used for cetane number calculation. Multi-criteria decision analysis (MCDA), PROMETHEE–GAIA, was used to determine the influence of individual fatty acids on fuel properties in the GAIA plane. Polyunsaturated fatty acids increased the iodine value and had a negative influence on cetane number. Kinematic viscosity was negatively influenced by some long chain polyunsaturated fatty acids such as C20:5 and C22:6 and some of the more common saturated fatty acids C14:0 and C18:0. The positive impact of average chain length on higher heating value was also confirmed in the GAIA plane

  14. Assessing energy projects from the viewpoint of individual economic branches and total economy. The role of economic efficiency analysis, cost-benefit analysis and multicriteria methods

    International Nuclear Information System (INIS)

    Sell, A.

    1992-01-01

    Energy is an extremely important good and means of production not only for the individual branches of economy but, due to its essential meaning to the development of a region or a national economy and its external effects connected with production and consumption, also of great interest to all economic branches. This article deals with the relation of analyses in individual economical branches and those in total economy and with the question of what the importance of cost-benefit analyses and other methods is in the analysis in total economy. The author also mentions the planning as in the special literature the planning and evaluation phases are not analytically separated which is seen especially in the discussion about the multi-criteria methods. (orig.) [de

  15. Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt

    International Nuclear Information System (INIS)

    Abudeif, A.M.; Abdel Moneim, A.A.; Farrag, A.F.

    2015-01-01

    Highlights: • The binary overlay method was used in Phase I through OR operator for selecting the candidate areas. • The WLC and AHP methods was used to screen and select the potential sites (phase II) in Arc GIS 10.1 software. • In phase III, four sites, all located on the North western coast and Red Sea, of highest scores were chosen as Candidate sites after eliminating the lowest score sites. • The AHP method was applied to select preferred candidate site and calculating the eigenvectors in Expert Choice Software Package. - Abstract: Due to increasing demand of electrical energy and freshwater in Egypt, it is safe to assume that the decision makers will turn to nuclear power as the feasible alternative for energy. However, as time goes by, fewer sites will be available and suitable for nuclear power plant development. Site selection is a key phase of the siting process of a nuclear plant and may significantly affect the safety and cost of the facility during its entire life cycle. The siting of nuclear power plants is one of multi-criteria problems, which makes it complex. Many interrelated factors affect the process. Six constraints and twenty-two factors corresponding to safety, environment and socio-economy were considered in the siting study presented in this paper. Multi-Criteria Decision Analysis was applied during the selection of nuclear power plants site using GIS software. Three spatial decision making models were applied in this paper during site selection stage. The binary overlay (Boolean logic) with Low Risk approach in which the logical OR operator is used to determine the candidate areas. All constraints were represented in binary maps, combined and a masking layer was created to eliminate the lands considered as constraints in Arc GIS Software. The 22 factors were represented in normalized maps after unifying all of them to 0–1 score scales based on the philosophy of suitability criteria (factors) using the Weighted Linear Combination

  16. Multi-criteria Analysis of Air Pollution with SO(2) and PM(10) in Urban Area Around the Copper Smelter in Bor, Serbia.

    Science.gov (United States)

    Nikolić, Djordje; Milošević, Novica; Mihajlović, Ivan; Zivković, Zivan; Tasić, Viša; Kovačević, Renata; Petrović, Nevenka

    2010-02-01

    This work presents the results of 4 years long monitoring of concentrations of SO(2) gas and PM(10) in the urban area around the copper smelter in Bor. The contents of heavy metals Pb, Cd, Cu, Ni, and As in PM(10) were determined and obtained values were compared to the limit values provided in EU Directives. Manifold excess concentrations of all the components in the atmosphere of the urban area of the townsite Bor were registered. Through application of a multi-criteria analysis by using PROMETHEE/GAIA method, the zones were ranked according to the level of pollution.

  17. The use of multi-criteria decision analysis weight elicitation techniques in patients with mild cognitive impairment: a pilot study.

    Science.gov (United States)

    van Til, Janine A; Dolan, James G; Stiggelbout, Anne M; Groothuis, Karin C G M; Ijzerman, Maarten J

    2008-04-01

    To test the applicability of multi-criteria decision analysis preference elicitation techniques in cognitively impaired individuals. A convenience sample of 16 cognitively impaired subjects and 12 healthy controls was asked to participate in a small pilot study. The subjects determined the relative importance of four decision criteria using five different weight elicitation techniques, namely simple multi-attribute rating technique, simple multi-attribute rating technique using swing weights, Kepner-Tregoe weighting, the analytical hierarchical process, and conjoint analysis. Conjoint analysis was judged to be the easiest method for weight elicitation in the control group (Z = 10.00; p = 0.04), while no significant differences in difficulty rating between methods was found in cognitively impaired subjects. Conjoint analysis elicitates weights and rankings significantly different from other methods. Subjectively, cognitively impaired subjects were positive about the use of the weight elicitation techniques. However, it seems the use of swing weights can result in the employment of shortcut strategies. The results of this pilot study suggest that individuals with mild cognitive impairment are willing and able to use multi-criteria elicitation methods to determine criteria weights in a decision context, although no preference for a method was found. The same methodologic and practical issues can be identified in cognitively impaired individuals as in healthy controls and the choice of method is mostly determined by the decision context.

  18. Using Spatial Multi-Criteria Analysis and Ranking Tool (SMART in earthquake risk assessment: a case study of Delhi region, India

    Directory of Open Access Journals (Sweden)

    Nishant Sinha

    2016-03-01

    Full Text Available This article is aimed at earthquake hazard, vulnerability and risk assessment as a case study to demonstrate the applicability of Spatial Multi-Criteria Analysis and Ranking Tool (SMART, which is based on Saaty's multi-criteria decision analysis (MCDA technique. The three specific study sites of Delhi were chosen for research as it corresponds to a typical patch of the urban environs, completely engrossed with residential, commercial and industrial units. The earthquake hazard affecting components are established in the form of geographic information system data-set layers including seismic zone, peak ground acceleration (PGA, soil characteristics, liquefaction potential, geological characteristics, land use, proximity to fault and epicentre. The physical vulnerability layers comprising building information, namely number of stories, year-built range, area, occupancy and construction type, derived from remote sensing imagery, were only considered for the current research. SMART was developed for earthquake risk assessment, and weights were derived both at component and its element level. Based on weighted overlay techniques, the earthquake hazard and vulnerability layers were created from which the risk maps were derived through multiplicative analysis. The developed risk maps may prove useful in decision-making process and formulating risk mitigation measures.

  19. Selecting wool-type fabrics for sensorial comfort in women office clothing for the cold season, using the multi-criteria decision analysis

    Science.gov (United States)

    Harpa, Rodica

    2017-10-01

    This article presents the strategy and the procedure used to achieve the declared goal: fabrics selection, pursuing sensorial comfort of a specific women-clothing item, by using the multi-criteria decision analysis. First, the objective evaluation of seven wool-type woven fabrics, suitable to the quality profile expected for the defined destination, was accomplished. Then, a survey was conducted on a sample of 187 consumers, women aged between 18 to 60 years old, with a background in the textile field, regarding both the preferences manifested in purchasing products, and the importance of various sensory perceptions through handling materials used in clothing products. Finally, the MCDM applied through the implementation of previous accomplished software STAT-ADM, allowed choosing the preferred wool-type fabric in order to get the expected sensorial comfort of women office trousers for the cold season, according to the previously established criteria. This overall approach showed good results in fabrics selection for assuring the sensorial comfort in women’s clothing, by using the multicriteria decision analysis based on a rating scale delivered by customers with knowledge in the textile field, but non-experts in the fabrics hand evaluation topic.

  20. Evaluation of biomethane technologies in Europe – Technical concepts under the scope of a Delphi-Survey embedded in a multi-criteria analysis

    International Nuclear Information System (INIS)

    Billig, Eric; Thrän, Daniela

    2016-01-01

    Methane from biomass is a well suited renewable energy carrier with a wide range of applications. The main technologies for its production out of biomass are biochemical conversion from the upgrading of biogas and thermochemical conversion by gasification and methanation. Presently there exists no methodology to compare the process alternatives for methane production from biomass. This paper investigates a comprehensive evaluation method based on a multi-criteria analysis. Due to the comparable well developed biomethane market in Europe, compared to other regions in the world, the study area was restricted to Europe. The weighting of the different criteria is carried out in two rounds as a pair-to-pair comparison of the criteria by experts from different technology fields in a Delphi-Survey. As a result, the prioritisation can be used to classify the biomass conversion technologies to convert biomass to biomethane. According to the weightings given by experts, the two criteria energy efficiency and production costs are of great importance compared to the other criteria. - Highlights: • Overview of technologies for renewable methane (biochemical and thermochemical). • Overview of multi-criteria analysis. • Novel methodology for comparison of biochemical and thermochemical conversion. • Delphi-Survey (approach and evaluation) in the field of biomethane resp. bio-SNG.

  1. Unaligned instruction relocation

    Energy Technology Data Exchange (ETDEWEB)

    Bertolli, Carlo; O' Brien, John K.; Sallenave, Olivier H.; Sura, Zehra N.

    2017-10-17

    In one embodiment, a computer-implemented method includes receiving source code to be compiled into an executable file for an unaligned instruction set architecture (ISA). Aligned assembled code is generated, by a computer processor. The aligned assembled code complies with an aligned ISA and includes aligned processor code for a processor and aligned accelerator code for an accelerator. A first linking pass is performed on the aligned assembled code, including relocating a first relocation target in the aligned accelerator code that refers to a first object outside the aligned accelerator code. Unaligned assembled code is generated in accordance with the unaligned ISA and includes unaligned accelerator code for the accelerator and unaligned processor code for the processor. A second linking pass is performed on the unaligned assembled code, including relocating a second relocation target outside the unaligned accelerator code that refers to an object in the unaligned accelerator code.

  2. Unaligned instruction relocation

    Science.gov (United States)

    Bertolli, Carlo; O'Brien, John K.; Sallenave, Olivier H.; Sura, Zehra N.

    2018-01-23

    In one embodiment, a computer-implemented method includes receiving source code to be compiled into an executable file for an unaligned instruction set architecture (ISA). Aligned assembled code is generated, by a computer processor. The aligned assembled code complies with an aligned ISA and includes aligned processor code for a processor and aligned accelerator code for an accelerator. A first linking pass is performed on the aligned assembled code, including relocating a first relocation target in the aligned accelerator code that refers to a first object outside the aligned accelerator code. Unaligned assembled code is generated in accordance with the unaligned ISA and includes unaligned accelerator code for the accelerator and unaligned processor code for the processor. A second linking pass is performed on the unaligned assembled code, including relocating a second relocation target outside the unaligned accelerator code that refers to an object in the unaligned accelerator code.

  3. Empirical Study on Growth of Evil Forces in Land Requisition and Relocation in City G of Hubei Province Based on Social Network Analysis

    Institute of Scientific and Technical Information of China (English)

    Hongxia ZHANG; Xia ZHOU; Yanan LI

    2015-01-01

    Using social network analysis method,this paper made an empirical study on growth of evil forces in land requisition and relocation in City G of Hubei Province. It obtained following results:(i) lawless developers and inefficient public security organs form interested parties of evil forces. Besides,the inward closeness centrality of evil forces is high,manifesting that evil forces independently possess decentralized power of network and have unscrupulous behavior in land requisition and relocation to a certain extent.(ii) Activities of evil forces have complicated spatial correlation and their geographical distribution is uneven,taking on irregular characteristics. In the field of land requisition and relocation,some evil forces are expandi Xng and spreading,while other forces are relatively weak. In conclusion,growth of evil forces comes from premeditation and collaboration of lawless developers,lack of functions and weak attack of public security organs; growth of evil forces has periodic changes,when in power,they will take opportunity to expand,while losing power,they will hide or even disappear.

  4. Flood risk perceptions and spatial multi-criteria analysis : an exploratory research for hazard mitigation

    NARCIS (Netherlands)

    Krywkow, J.; Raaijmakers, Ruud; Krywkow, Jörg; van der Veen, A.

    2007-01-01

    The conventional method of risk analysis (with risk as a product of probability and consequences) does not allow for a pluralistic approach that includes the various risk perceptions of stakeholders or lay people within a given social system. This article introduces a methodology that combines the

  5. A Compact Review of Multi-criteria Decision Analysis Uncertainty Techniques

    Science.gov (United States)

    2013-02-01

    9 3.4 PROMETHEE -GAIA Method...obtained (74). 3.4 PROMETHEE -GAIA Method Preference Ranking Organization Method for Enrichment Evaluation ( PROMETHEE ) and Geometrical Analysis for...greater understanding of the importance of their selections. The PROMETHEE method was designed to perform MCDA while accounting for each of these

  6. Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

    NARCIS (Netherlands)

    Raaijmakers, R.; Raaijmakers, Ruud; Krywkow, Jorg; van der Veen, A.

    2008-01-01

    The conventional method of risk analysis (with risk as a product of probability and consequences) does not allow for a pluralistic approach that includes the various risk perceptions of stakeholders or lay people within a given social system. This article introduces a methodology that combines the

  7. Life Cycle Multi-Criteria Analysis Of Alternative Energy Supply Systems For A Residential Building

    Directory of Open Access Journals (Sweden)

    Artur Rogoža

    2013-12-01

    Full Text Available The article analyses energy supply alternatives for a partially renovated residential building. In addition to the existing district heating (base case alternative systems, gas boilers, heat pumps (air-water and ground-water, solar collectors, solar cells, and combinations of these systems have been examined. Actual heat consumption of the building and electricity demand determined by the statistical method are used for simulating the systems. The process of simulation is performed using EnergyPro software. In order to select an optimal energy supply option, the life cycle analysis of all systems has been carried out throughout a life span of the building, and the estimated results of energy, environmental and economic evaluation have been converted into non-dimensional variables (3E using multi–criteria analysis.Article in Lithuanian

  8. Multi-criteria analysis for evaluating the radiological and ecological safety measures in radioactive waste management

    International Nuclear Information System (INIS)

    Sazykina, T.G.; Kryshev, I.I.

    2006-01-01

    A methodological approach is presented for multicriterial evaluating the effectiveness of radiation ecological safety measures during radioactive waste management. The approach is based on multicriterial analysis with consideration of radiological, ecological, social, economical consequences of various safety measures. The application of the multicriterial approach is demonstrated taking as an example of decision-making on the most effective actions for rehabilitation of a water subject, contaminated with radionuclides [ru

  9. Evaluating post-fire forest resilience using GIS and multi-criteria analysis: an example from Cape Sounion National Park, Greece.

    Science.gov (United States)

    Arianoutsou, Margarita; Koukoulas, Sotirios; Kazanis, Dimitrios

    2011-03-01

    Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system's post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the "risk hotspots", where post-fire management measures should be applied in priority.

  10. Evaluating Post-Fire Forest Resilience Using GIS and Multi-Criteria Analysis: An Example from Cape Sounion National Park, Greece

    Science.gov (United States)

    Arianoutsou, Margarita; Koukoulas, Sotirios; Kazanis, Dimitrios

    2011-03-01

    Forest fires are one of the major causes of ecological disturbance in the mediterranean climate ecosystems of the world. Despite the fact that a lot of resources have been invested in fire prevention and suppression, the number of fires occurring in the Mediterranean Basin in the recent decades has continued to markedly increase. The understanding of the relationship between landscape and fire lies, among others, in the identification of the system's post-fire resilience. In our study, ecological and landscape data are integrated with decision-support techniques in a Geographic Information Systems (GIS) framework to evaluate the risk of losing post-fire resilience in Pinus halepensis forests, using Cape Sounion National Park, Central Greece, as a pilot case. The multi-criteria decision support approach has been used to synthesize both bio-indicators (woody cover, pine density, legume cover and relative species richness and annual colonizers) and geo-indicators (fire history, parent material, and slope inclination) in order to rank the landscape components. Judgments related to the significance of each factor were incorporated within the weights coefficients and then integrated into the multicriteria rule to map the risk index. Sensitivity analysis was very critical for assessing the contribution of each factor and the sensitivity to subjective weight judgments to the final output. The results of this study include a final ranking map of the risk of losing resilience, which is very useful in identifying the "risk hotspots", where post-fire management measures should be applied in priority.

  11. Multi-criteria decision analysis for use in transport decision making

    DEFF Research Database (Denmark)

    the recent years that besides the social costs and benefits associated with transport other impacts that are more difficult to monetise should also have influence on the decision making process. This is in many developed countries realised in the transport planning, which takes into account a wide range......, however, commonly agreed that the final decision making concerning transport infrastructure projects in many cases will depend on other aspects besides the monetary ones assessed in a socio-economic analysis. Nevertheless, an assessment framework such as the Danish one (DMT, 2003) does not provide any...... specific guidelines on how to include the strategic impacts; it merely suggests describing the impacts verbally and keeping them in mind during the decision process. A coherent, well-structured, flexible, straight forward evaluation method, taking into account all the requirements of a transport...

  12. Multi-criteria Analysis of Factors for Application of Concrete Composites Considering Their Environmental Harmfulness

    Science.gov (United States)

    Paulikova, A.; Estokova, A.; Mitterpach, J.

    2017-10-01

    The analysis of factors is important in insight of the selection of proper building material with environmental added value. A comprehensive solution is possible if at the beginning there are all the relevant factors in detail characterized predominately that have got a major impact on the area in terms of environmentalharmfulness prevention. There are many groups of environmental factors. In this article only four factors are considered, i.e. contain of CrVI (mg/kg) and index of mass activity for radionuclides (Ra, Th, K) which are the most harmful. These factors can be evaluated by means of a supplementary tool, e.g. multi-criteriaanalysis, which improves and supports decision processes in the framework of construction bybuilding management, etc.

  13. GIS-based multi-criteria analysis for Arabica coffee expansion in Rwanda.

    Directory of Open Access Journals (Sweden)

    Innocent Nzeyimana

    Full Text Available The Government of Rwanda is implementing policies to increase the area of Arabica coffee production. Information on the suitable areas for sustainably growing Arabica coffee is still scarce. This study aimed to analyze suitable areas for Arabica coffee production. We analyzed the spatial distribution of actual and potential production zones for Arabica coffee, their productivity levels and predicted potential yields. We used a geographic information system (GIS for a weighted overlay analysis to assess the major production zones of Arabica coffee and their qualitative productivity indices. Actual coffee yields were measured in the field and were used to assess potential productivity zones and yields using ordinary kriging with ArcGIS software. The production of coffee covers about 32 000 ha, or 2.3% of all cultivated land in the country. The major zones of production are the Kivu Lake Borders, Central Plateau, Eastern Plateau, and Mayaga agro-ecological zones, where coffee is mainly cultivated on moderate slopes. In the highlands, coffee is grown on steep slopes that can exceed 55%. About 21% percent of the country has a moderate yield potential, ranging between 1.0 and 1.6 t coffee ha-1, and 70% has a low yield potential (<1.0 t coffee ha-1. Only 9% of the country has a high yield potential of 1.6-2.4 t coffee ha-1. Those areas are found near Lake Kivu where the dominant soil Orders are Inceptisols and Ultisols. Moderate yield potential is found in the Birunga (volcano, Congo-Nile watershed Divide, Impala and Imbo zones. Low-yield regions (<1 t ha-1 occur in the eastern semi-dry lowlands, Central Plateau, Eastern Plateau, Buberuka Highlands, and Mayaga zones. The weighted overlay analysis and ordinary kriging indicated a large spatial variability of potential productivity indices. Increasing the area and productivity of coffee in Rwanda thus has considerable potential.

  14. MULTICRITERIA DECISION-MAKING

    NARCIS (Netherlands)

    HENDRIKS, MMWB; DEBOER, JH; SMILDE, AK; DOORNBOS, DA

    1992-01-01

    Interest is growing in multicriteria decision making (MCDM) techniques and a large number of these techniques are now available. The purpose of this tutorial is to give a theoretical description of some of the MCDM techniques. Besides this we will give an overview of the differences and similarities

  15. Use of multi-criteria decision analysis in public bidding processes: a case study

    Directory of Open Access Journals (Sweden)

    André Andrade Longaray

    2014-02-01

    Full Text Available Institutions of Higher Education in Brazil (IFES play an important role in the country’s social and scientific development. Focused mainly on teaching, research and extension activities, the IFES are backed by support foundations aimed to the management of financial, human and material resources. Characterized as public bodies, the support foundations are governed by Law no 8.666/93 in what concerns the procurement of goods and services. Therefore, the present study is aimed to develop a model to assist the managers of such foundations in the selection of suppliers to participate in bidding processes that use invitation for bids. Therefore, we conducted a case study in one of the 55 foundations that support Brazilian federal universities. The intervention tool used was the Analytic Hierarchy Process (AHP. Firstly, we established the hierarchy of criteria for problem-solving. Then, a paired comparison was made between criteria for the same level. Subsequently, the consistency analysis of comparison matrices was verified. Finally, the relative priorities of each criterion were obtained and the objective function of the model was constructed. The model was tested through the assessment of the performance of three potential suppliers of IT equipment, and the result was legitimized by decision makers who found the instrument a valid tool to aid in making decisions on supplier selection for the foundation.

  16. Evaluation of Groundwater Remediation Technologies Based on Fuzzy Multi-Criteria Decision Analysis Approaches

    Directory of Open Access Journals (Sweden)

    Hao Wang

    2017-06-01

    Full Text Available Petroleum is an essential resource for the development of society and its production is huge. There is a great risk of leakage of oil during production, refining, and transportation. After entering the environment, the oil pollutants will be a great threat to the environment and may endanger human health. Therefore, it is very important to remediate oil pollution in the subsurface. However, it is necessary to choose the appropriate remediation technology. In this paper, 18 technologies are evaluated through constructing a parameter matrix with each technology and seven performance indicators, and a comprehensive analysis model is presented. In this model, four MCDA methods are used. They are SWA (Simple Weighted Addition Method, WP (Weighted Product Method, CGT (Cooperative Game Theory, and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution. Mean ranking and Borda ranking methods are used to integrate the results of SWA, WP, CGT, and TOPSIS. Then two selection priorities of each method (mean ranking and Borda ranking are obtained. The model is proposed to help decide the best choice of remediation technologies. It can effectively reduce contingency, subjectivity, one-sidedness of the traditional methods and provide scientific reference for effective decision-making.

  17. Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis

    International Nuclear Information System (INIS)

    Maxim, Alexandru

    2014-01-01

    Solving the issue of environmental degradation due to the expansion of the World's energy demand requires a balanced approach. The aim of this paper is to comprehensively rank a large number of electricity generation technologies based on their compatibility with the sustainable development of the industry. The study is based on a set of 10 sustainability indicators which provide a life cycle analysis of the plants. The technologies are ranked using a weighted sum multi-attribute utility method. The indicator weights were established through a survey of 62 academics from the fields of energy and environmental science. Our results show that large hydroelectric projects are the most sustainable technology type, followed by small hydro, onshore wind and solar photovoltaic. We argue that political leaders should have a more structured and strategic approach in implementing sustainable energy policies and this type of research can provide arguments to support such decisions. - Highlights: • We rank 13 electricity generation technologies based on sustainability. • We use 10 indicators in a weighted sum multi-attribute utility approach. • Weights are calculated based on a survey of 62 academics from the field. • Large hydroelectric projects are ranked as the most sustainable. • Decision makers can use the results to promote a more sustainable energy industry

  18. Multicriteria decision-making analysis based methodology for predicting carbonate rocks' uniaxial compressive strength

    Directory of Open Access Journals (Sweden)

    Ersoy Hakan

    2012-10-01

    Full Text Available

    ABSTRACT

    Uniaxial compressive strength (UCS deals with materials' to ability to withstand axially-directed pushing forces and especially considered to be rock materials' most important mechanical properties. However, the UCS test is an expensive, very time-consuming test to perform in the laboratory and requires high-quality core samples having regular geometry. Empirical equations were thus proposed for predicting UCS as a function of rocks' index properties. Analytical hierarchy process and multiple regression analysis based methodology were used (as opposed to traditional linear regression methods on data-sets obtained from carbonate rocks in NE Turkey. Limestone samples ranging from Devonian to late Cretaceous ages were chosen; travertine-onyx samples were selected from morphological environments considering their surface environmental conditions Test results from experiments carried out on about 250 carbonate rock samples were used in deriving the model. While the hierarchy model focused on determining the most important index properties affecting on UCS, regression analysis established meaningful relationships between UCS and index properties; 0. 85 and 0. 83 positive coefficient correlations between the variables were determined by regression analysis. The methodology provided an appropriate alternative to quantitative estimation of UCS and avoided the need for tedious and time consuming laboratory testing


    RESUMEN

    La resistencia a la compresión uniaxial (RCU trata con la capacidad de los materiales para soportar fuerzas empujantes dirigidas axialmente y, especialmente, es considerada ser uno de las más importantes propiedades mecánicas de

  19. Application of a Method for Intelligent Multi-Criteria Analysis of the Environmental Impact of Tailing Ponds in Northern Kosovo and Metohija

    Directory of Open Access Journals (Sweden)

    Gordana Milentijević

    2016-11-01

    Full Text Available The technological process of exploitation of mineral resources and processing of mined ores to cater to the market results, among other things, in a large amount of tailings deposed on tailing ponds. Because of the chemical composition of the material, the increasing amount of waste, and the mismanagement of recovery and reclamation of ponds, these ponds have become a significant element of negative impact on the surrounding ecosystem. Economics was behind the discharging of this material, resulting in tailing ponds created in inappropriate areas. There is an ongoing process of depositing tailings on old tailing ponds, although no special attention has been paid to the subsequent effect on the environment. Application of intelligent multi-criteria analysis AHP and PROMETHEE has been performed in this paper for the purpose of ranking the degree of negative impact on the environment of tailing ponds. Analysis is performed for five tailing ponds of MMCC (Mining Metallurgy Chemical Combine “Trepča”, whereby two of the ponds are active and three inactive. The ponds are in relatively close proximity to the municipalities of Zvečan and Kosovska Mitrovica, to the north of Kosovo and Metohija, Republic of Serbia. In order to achieve the most objective results, the AHP and PROMETHEE methods were applied. By using these methods for calculations, the following ranking for the flotation tailing waste deposits was obtained, regarding their environmental impact: Žitkovac, Tvrđanski Do, Bostanište, Gornje Polje and Žarkov Potok. This result can contribute to the decision-making process of a prioritizing strategy for rehabilitation and remediation of these five flotation tailings. The analysis illustrates that application of intelligent multi-criteria analysis is a useful environmental management tool to be included in the decision-making process.

  20. Analysis of Economical and Environmental Costs for the Selection of Municipal Solid Waste Treatment and Disposal Scenarios through Multicriteria Analysis (ELECTRE Method

    Directory of Open Access Journals (Sweden)

    Lorena De Medina-Salas

    2017-10-01

    Full Text Available Decision-making for the selection of treatment alternatives and landfilling of municipal solid waste (MSW is based on the experience and judgment of those management responsible, without considering multicriteria analysis. Therefore, the purpose of this research was to determine the treatment scenario and landfilling of MSW with the lowest environmental and economic costs in a medium-sized city. The methodology included the definition and data processing of the project (population, generation, and composition of MSW, for 16 years. In the design of scenarios, recycling, composting, incineration with energy recovery, and landfilling treatments were proposed; later, the combinations of treatments for each type of residue were generated. The results showed 36 scenarios, then the ELECTRE method was applied to the five with the lowest economical and environmental costs. Finally from the latter, one dominant scenario was determined: organic waste in composting; plastic, paper, and glass in recycling; and ‘others’ in landfilling. It is concluded that the final decision on the scenario is adapted to the particular conditions of the locality.

  1. Multicriteria analysis of the hybrid systems with biogas: fuzzy set and rules; Analise multicriterio de sistemas hibridos com biogas: conjuntos e regras fuzzy

    Energy Technology Data Exchange (ETDEWEB)

    Barin, A.; Canha, L.; Abaide, A.; Magnago, K. [Federal University of Santa Maria (UFSM), RS (Brazil)], E-mail: chbarin@gmail.com; Machado, R. [Universidade de Sao Paulo (EESC/USP), Sao Carlos, SP (Brazil). Escola de Engenharia], E-mail: rquadros@sel.eesc.usp.br

    2009-07-01

    A multicriteria analysis to manage de renewable sources of energy is presented, identifying the most appropriate hybrid system to be used as distributed generation of electric energy using biogas. In this methodology, fuzzy sets and rules are defined simulated in the software MATLAB, where the main characteristics of the operation and application of hybrid systems of electric power generation are considered. The main generation system, that can use the biogas, as micro turbines and fuel cells, are evaluated. Afterwards, the systems of energy storage are analyzed: flywheel, H{sub 2} storage and conventional and redox batteries. For the development of the proposed methodology, it was considered the following criteria: efficiency, costs, technological maturity, environmental impacts, the amplitude of the system action (power range), useful life, co-generation possibility and operation temperature. A classification, by priority order, for the use of the sources and storages associated to the environment and cost scenarios is also presented.

  2. A criticism of applications with multi-criteria decision analysis that are used for the site selection for the disposal of municipal solid wastes

    International Nuclear Information System (INIS)

    Kemal Korucu, M.; Erdagi, Bora

    2012-01-01

    Highlights: ► The existing structure of the multi-criteria decision analysis for site selection is criticized. ► Fundamental problematic points based on the critics are defined. ► Some modifications are suggested in order to provide solutions to these problematical points. ► A new structure for the decision making mechanism is proposed. ► The feasibility of the new method is subjected to an evaluation process. - Abstract: The main aim of this study is to criticize the process of selecting the most appropriate site for the disposal of municipal solid wastes which is one of the problematic issues of waste management operations. These kinds of problems are pathological symptoms of existing problematical human–nature relationship which is related to the syndrome called ecological crisis. In this regard, solving the site selection problem, which is just a small part of a larger entity, for the good of ecological rationality and social justice is only possible by founding a new and extensive type of human–nature relationship. In this study, as a problematic point regarding the discussions on ecological problems, the existing structure of the applications using multi-criteria decision analysis in the process of site selection with three main criteria is criticized. Based on this critique, fundamental problematic points (to which applications are insufficient to find solutions) will be defined. Later, some modifications will be suggested in order to provide solutions to these problematical points. Finally, the criticism addressed to the structure of the method with three main criteria and the feasibility of the new method with four main criteria is subjected to an evaluation process. As a result, it is emphasized that the new structure with four main criteria may be effective in solution of the fundamental problematic points.

  3. A benefit–risk assessment model for statins using multicriteria decision analysis based on a discrete choice experiment in Korean patients

    Directory of Open Access Journals (Sweden)

    Byun JH

    2016-06-01

    Full Text Available Ji-Hye Byun,1 Sun-Hong Kwon,1 Ji-Hye Ha,2 Eui-Kyung Lee1 1School of Pharmacy, Sungkyunkwan University, Suwon-si, Gyeonggi-do, 2Ministry of Food and Drug Safety, Cheongju-si, Chungcheongbuk-do, South Korea Purpose: The benefit–risk balance for drugs can alter post approval owing to additional data on efficacy or adverse events. This study developed a quantitative benefit–risk assessment (BRA model for statins using multicriteria decision analysis with discrete choice experiments and compared a recent BRA with that at the time of approval. Patients and methods: Following a systematic review of the literature, the benefit criteria within the statin BRA model were defined as a reduction in the plasma low-density lipoprotein cholesterol level and a reduction in myocardial infarction incidence; the risk criteria were hepatotoxicity (Liv and fatal rhabdomyolysis (Rha. The scores for these criteria were estimated using mixed treatment comparison methods. Weighting was calculated from a discrete choice experiment involving 203 Korean patients. The scores and weights were integrated to produce an overall value representing the benefit–risk balance, and sensitivity analyses were conducted. Results: In this BRA model, low-density lipoprotein (relative importance [RI]: 37.50% was found to be a more important benefit criterion than myocardial infarction (RI: 35.43%, and Liv (RI: 16.28% was a more important risk criterion than Rha (RI: 10.79%. Patients preferred atorvastatin, and the preference ranking of cerivastatin and simvastatin was switched post approval because of the emergence of additional risk information related to cerivastatin. Conclusion: A quantitative statin BRA model confirmed that the preference ranking of statins changed post approval because of the identification of additional benefits or risks. Keywords: multicriteria decision analysis, statin, quantitative benefit–risk assessment, discrete choice experiment

  4. A criticism of applications with multi-criteria decision analysis that are used for the site selection for the disposal of municipal solid wastes

    Energy Technology Data Exchange (ETDEWEB)

    Kemal Korucu, M., E-mail: kemal.korucu@kocaeli.edu.tr [University of Kocaeli, Department of Environmental Engineering, 41380 Kocaeli (Turkey); Erdagi, Bora [University of Kocaeli, Department of Philosophy, 41380 Kocaeli (Turkey)

    2012-12-15

    Highlights: Black-Right-Pointing-Pointer The existing structure of the multi-criteria decision analysis for site selection is criticized. Black-Right-Pointing-Pointer Fundamental problematic points based on the critics are defined. Black-Right-Pointing-Pointer Some modifications are suggested in order to provide solutions to these problematical points. Black-Right-Pointing-Pointer A new structure for the decision making mechanism is proposed. Black-Right-Pointing-Pointer The feasibility of the new method is subjected to an evaluation process. - Abstract: The main aim of this study is to criticize the process of selecting the most appropriate site for the disposal of municipal solid wastes which is one of the problematic issues of waste management operations. These kinds of problems are pathological symptoms of existing problematical human-nature relationship which is related to the syndrome called ecological crisis. In this regard, solving the site selection problem, which is just a small part of a larger entity, for the good of ecological rationality and social justice is only possible by founding a new and extensive type of human-nature relationship. In this study, as a problematic point regarding the discussions on ecological problems, the existing structure of the applications using multi-criteria decision analysis in the process of site selection with three main criteria is criticized. Based on this critique, fundamental problematic points (to which applications are insufficient to find solutions) will be defined. Later, some modifications will be suggested in order to provide solutions to these problematical points. Finally, the criticism addressed to the structure of the method with three main criteria and the feasibility of the new method with four main criteria is subjected to an evaluation process. As a result, it is emphasized that the new structure with four main criteria may be effective in solution of the fundamental problematic points.

  5. Valuation for Sustainable Development: The Role of Multicriteria Evaluation

    OpenAIRE

    Sigrid Stagl

    2004-01-01

    Multicriteria methods were found to be useful tools to support decision-making about complex situations - such as those concerned with sustainable development issues - and to deal with conflicts in a structured and transparent way. Increasingly multicriteria evaluation (MCE) is also seen as a constructive response to the critique of cost-benefit analysis. MCE enables decision-makers to take multiple dimensions of impacts of the considered projects into account without the need for full moneta...

  6. Quotas, Relocation and Jobs

    Science.gov (United States)

    Blumrosen, Alfred

    1975-01-01

    This testimony, before a public hearing of the New York City Commission on Human Rights in May 1974, has two express focuses: one is the question of quotas, and the other is the problem of relocation of plants and facilities in the suburban areas and the consequent difficulties minorities face in retaining equal employment opportunities.…

  7. MULTICRITERIA ANALYSIS OF FOOTBALL MATCH PERFORMANCES: COMPOSITION OF PROBABILISTIC PREFERENCES APPLIED TO THE ENGLISH PREMIER LEAGUE 2015/2016

    Directory of Open Access Journals (Sweden)

    Vitor Principe

    Full Text Available ABSTRACT This article aims to analyze the technical performance of football teams in the FA Premier League during the 2015/2016 season. Data of twenty clubs over 38 matches for each club are considered using 23 variables. These variables have been explored in the football literature and address different features of technical performance. The different configuration of the data for teams in detached segments motivated the multi-criteria approach, which enables identification of strong and weak sectors in each segment. The uncertainty as to the outcome of football matches and the imprecision of the measures indicated the use of Composition of Probabilistic Preferences (CPP to model the problem. “R” software was used in the modeling and computation. The CPP global scores obtained were more consistent with the final classification than those of other methods. CPP scores revealed different performances of particular groups of variables indicating aspects to be improved and explored.

  8. ANALYSIS OF BUSINESS ENVIRONMENT USING THE MULTI-CRITERIA APPROACH – CASE OF BALKAN’S TRANSITION ECONOMIES

    Directory of Open Access Journals (Sweden)

    Saša Obradović

    2012-02-01

    Full Text Available Due to the lack of their own financial resources, attracting the foreign direct investment (FDI isthe main prerequisite for transitional economies in order to increase production and employment, sothat they can ensure the long term sustainable economic growth. In addition, the foreign directinvestment is an important instrument for the economy restructuring, based on market principles.However, achieving this goal is not simple at all. In order to attract foreign investors, it is necessaryto create a favorable business environment in transition countries, which requires a number ofeconomic, institutional, political and other reforms. The aim of this paper is to point out the mainfactors attracting foreign direct investment and, by using the multi-criteria approach, to rank theBalkan’s transition economies depending on the preferences of investors taking into account certaincomponents of the business environment.

  9. Social vulnerability assessment using spatial multi-criteria analysis (SEVI model and the Social Vulnerability Index (SoVI model – a case study for Bucharest, Romania

    Directory of Open Access Journals (Sweden)

    I. Armaș

    2013-06-01

    Full Text Available In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model and the spatial multi-criteria social vulnerability index (SEVI model. Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA. This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

  10. Multi-criteria decision analysis tools for prioritising emerging or re-emerging infectious diseases associated with climate change in Canada.

    Science.gov (United States)

    Cox, Ruth; Sanchez, Javier; Revie, Crawford W

    2013-01-01

    Global climate change is known to result in the emergence or re-emergence of some infectious diseases. Reliable methods to identify the infectious diseases of humans and animals and that are most likely to be influenced by climate are therefore required. Since different priorities will affect the decision to address a particular pathogen threat, decision makers need a standardised method of prioritisation. Ranking methods and Multi-Criteria Decision approaches provide such a standardised method and were employed here to design two different pathogen prioritisation tools. The opinion of 64 experts was elicited to assess the importance of 40 criteria that could be used to prioritise emerging infectious diseases of humans and animals in Canada. A weight was calculated for each criterion according to the expert opinion. Attributes were defined for each criterion as a transparent and repeatable method of measurement. Two different Multi-Criteria Decision Analysis tools were tested, both of which used an additive aggregation approach. These were an Excel spreadsheet tool and a tool developed in software 'M-MACBETH'. The tools were trialed on nine 'test' pathogens. Two different methods of criteria weighting were compared, one using fixed weighting values, the other using probability distributions to account for uncertainty and variation in expert opinion. The ranking of the nine pathogens varied according to the weighting method that was used. In both tools, using both weighting methods, the diseases that tended to rank the highest were West Nile virus, Giardiasis and Chagas, while Coccidioidomycosis tended to rank the lowest. Both tools are a simple and user friendly approach to prioritising pathogens according to climate change by including explicit scoring of 40 criteria and incorporating weighting methods based on expert opinion. They provide a dynamic interactive method that can help to identify pathogens for which a full risk assessment should be pursued.

  11. Multi-criteria decision analysis tools for prioritising emerging or re-emerging infectious diseases associated with climate change in Canada.

    Directory of Open Access Journals (Sweden)

    Ruth Cox

    Full Text Available Global climate change is known to result in the emergence or re-emergence of some infectious diseases. Reliable methods to identify the infectious diseases of humans and animals and that are most likely to be influenced by climate are therefore required. Since different priorities will affect the decision to address a particular pathogen threat, decision makers need a standardised method of prioritisation. Ranking methods and Multi-Criteria Decision approaches provide such a standardised method and were employed here to design two different pathogen prioritisation tools. The opinion of 64 experts was elicited to assess the importance of 40 criteria that could be used to prioritise emerging infectious diseases of humans and animals in Canada. A weight was calculated for each criterion according to the expert opinion. Attributes were defined for each criterion as a transparent and repeatable method of measurement. Two different Multi-Criteria Decision Analysis tools were tested, both of which used an additive aggregation approach. These were an Excel spreadsheet tool and a tool developed in software 'M-MACBETH'. The tools were trialed on nine 'test' pathogens. Two different methods of criteria weighting were compared, one using fixed weighting values, the other using probability distributions to account for uncertainty and variation in expert opinion. The ranking of the nine pathogens varied according to the weighting method that was used. In both tools, using both weighting methods, the diseases that tended to rank the highest were West Nile virus, Giardiasis and Chagas, while Coccidioidomycosis tended to rank the lowest. Both tools are a simple and user friendly approach to prioritising pathogens according to climate change by including explicit scoring of 40 criteria and incorporating weighting methods based on expert opinion. They provide a dynamic interactive method that can help to identify pathogens for which a full risk assessment should

  12. Social vulnerability assessment using spatial multi-criteria analysis (SEVI model) and the Social Vulnerability Index (SoVI model) - a case study for Bucharest, Romania

    Science.gov (United States)

    Armaş, I.; Gavriş, A.

    2013-06-01

    In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model) and the spatial multi-criteria social vulnerability index (SEVI model). Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA). This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

  13. Development of Relocation Strategies Regarding Eruption Hazard in Mount Merapi

    Directory of Open Access Journals (Sweden)

    Rosdiana Puji Lestari

    2015-09-01

    Full Text Available The research was conducted to answer a questions: 1 how the relocation of the current strategy was carried out by the government 2 the problems that arise in the relocation which has yet to be resolved, 3 how the good concept of relocation so that these problems can be minimized. The research methodology used in this study combined quantitative and qualitative methods. Qualitative methods are used to explain the empirical facts that exist in each of these conditions in the relocation settlements. SWOT analysis is used to provide an overview of the strengths, weaknesses, opportunities and threats in the relocation of victims of Merapi. Information, facts and issues that arise in the study will be described, explained and analyzed primarily for the impact of residential relocation on social and economic life of the community. Relocation concept of the economic aspects of community empowerment efforts should be made related to community economic recovery after a change in livelihood. In addition, the potential of community mapping needs to be done by the government to be optimized and developed. From the aspect of government settlements seek to transfer ownership of land in the new settlement which may be the property of the citizens so that citizens obtain legal certainty while occupying the new settlement. The social aspects of the development potential of relocating residents and making it as a tourist village, residents need to support that relocation is no longer a newcomer, they have the same rights and obligations with citizens of another.

  14. Evaluating Partnerships to Enhance Disaster Risk Management using Multi-Criteria Analysis: An Application at the Pan-European Level

    Science.gov (United States)

    Hochrainer-Stigler, Stefan; Lorant, Anna

    2018-01-01

    Disaster risk is increasingly recognized as a major development challenge. Recent calls emphasize the need to proactively engage in disaster risk reduction, as well as to establish new partnerships between private and public sector entities in order to decrease current and future risks. Very often such potential partnerships have to meet different objectives reflecting on the priorities of stakeholders involved. Consequently, potential partnerships need to be assessed on multiple criteria to determine weakest links and greatest threats in collaboration. This paper takes a supranational multi-sector partnership perspective, and considers possible ways to enhance disaster risk management in the European Union by better coordination between the European Union Solidarity Fund, risk reduction efforts, and insurance mechanisms. Based on flood risk estimates we employ a risk-layer approach to determine set of options for new partnerships and test them in a high-level workshop via a novel cardinal ranking based multi-criteria approach. Whilst transformative changes receive good overall scores, we also find that the incorporation of risk into budget planning is an essential condition for successful partnerships.

  15. GIS-BASED SOLAR AND WIND TURBINE SITE SELECTION USING MULTI-CRITERIA ANALYSIS: CASE STUDY TEHRAN, IRAN

    Directory of Open Access Journals (Sweden)

    M. Sadeghi

    2017-09-01

    Full Text Available Renewable energy has less negative impacts on environment than fossil fuels. Iran has many resources for renewable energy exploitation but because of their high price, it has not been developed. Site selection is an important step for utilizing large investments like solar farms and wind turbines. Multi-criteria evaluation methods are commonly used for site selection. The purpose of this paper is to determine suitable sites for solar farm and wind turbine using GIS and AHP in Tehran, in order to generate a distributed network to increase power network stability. The final land suitability index was grouped in four categories as “most suitable”, “suitable”, “moderate” and “low suitable”. As a result 94.61% (789939.63 km2 is low suitable, 4.47% (37337.17 km2 is moderate, 0.59% (4964.22 km2 is suitable and 0.32% (2680.70 km2 is the most suitable for building wind turbine and for solar farm, 44.07% (8116.88 km2 is low suitable, 12.81% (2359.79 km2 is moderate, 35.10% (6464.29 km2 is suitable and 8.02% (1477.28 km2 is the most suitable.

  16. Gis-Based Solar and Wind Turbine Site Selection Using Multi-Criteria Analysis: Case Study Tehran, Iran

    Science.gov (United States)

    Sadeghi, M.; Karimi, M.

    2017-09-01

    Renewable energy has less negative impacts on environment than fossil fuels. Iran has many resources for renewable energy exploitation but because of their high price, it has not been developed. Site selection is an important step for utilizing large investments like solar farms and wind turbines. Multi-criteria evaluation methods are commonly used for site selection. The purpose of this paper is to determine suitable sites for solar farm and wind turbine using GIS and AHP in Tehran, in order to generate a distributed network to increase power network stability. The final land suitability index was grouped in four categories as "most suitable", "suitable", "moderate" and "low suitable". As a result 94.61% (789939.63 km2) is low suitable, 4.47% (37337.17 km2) is moderate, 0.59% (4964.22 km2) is suitable and 0.32% (2680.70 km2) is the most suitable for building wind turbine and for solar farm, 44.07% (8116.88 km2) is low suitable, 12.81% (2359.79 km2) is moderate, 35.10% (6464.29 km2) is suitable and 8.02% (1477.28 km2) is the most suitable.

  17. Geospatial Approach on Landslide Hazard Zonation Mapping Using Multicriteria Decision Analysis: A Study on Coonoor and Ooty, Part of Kallar Watershed, The Nilgiris, Tamil Nadu

    Science.gov (United States)

    Rahamana, S. Abdul; Aruchamy, S.; Jegankumar, R.

    2014-12-01

    Landslides are one of the critical natural phenomena that frequently lead to serious problems in hilly area, resulting to loss of human life and property, as well as causing severe damage to natural resources. The local geology with high degree of slope coupled with high intensity of rainfall along with unplanned human activities of the study area causes many landslides in this region. The present study area is more attracted by tourist throughout the year, so this area must be considered for preventive measures. Geospatial based Multicriteria decision analysis (MCDA) technique is increasingly used for landslide vulnerability and hazard zonation mapping. It enables the integration of different data layers with different levels of uncertainty. In this present study, it is used analytic hierarchy process (AHP) method to prepare landslide hazard zones of the Coonoor and Ooty, part of Kallar watershed, The Nilgiris, Tamil Nadu. The study was carried out using remote sensing data, field surveys and geographic information system (GIS) tools. The ten factors that influence landslide occurrence, such as elevation, slope aspect, slope angle, drainage density, lineament density, soil, precipitation, land use/land cover (LULC), distance from road and NDVI were considered. These factors layers were extracted from the various related spatial data's. These factors were evaluated, and then, the individual factor weight and class weight were assigned to each of the related factors. The Landslide Hazard Zone Index (LHZI) was calculated using Multicriteria decision analysis (MCDA) the technique based on the assigned weight and the rating is given by the Analytical Hierarchy Process (AHP) method. The final cumulative map of the study area was categorized into four hazard zones and classified as zone I to IV. There are 3.56% of the area comes under the hazard zone IV fallowed by 48.19% of the area comes under zone III, 43.63 % of the area in zone II and 4.61% of the area comes hazard

  18. Appropriate drinking water treatment processes for organic micropollutants removal based on experimental and model studies - A multi-criteria analysis study

    KAUST Repository

    Sudhakaran, Sairam

    2013-01-01

    The presence of organic micropollutants (OMPs), pharmaceuticals and personal care products (PPCPs) in potable water is of great environmental and public health concern. OMPs are included in the priority list of contaminants in United States EPA and European framework directives. Advanced treatment processes such as reverse osmosis, nanofiltration, ozonation and adsorption are the usual industry-recommended processes for OMPs removal, however, natural systems, e.g., riverbank filtration and constructed wetlands, are also potentially efficient options for OMPs removal. In this study, a decision support system (DSS) based on multi-criteria analysis (MCA) was created to compare processes for OMPs removal under various criteria. Multi-criteria analysis (MCA), a transparent and reliable procedure, was adopted. Models were built for both experimental and predicted percent-removals for a range of OMPs reflecting different physicochemical properties. The experimental percent-removals for several processes (riverbank filtration (RBF), ozonation, advanced oxidation, adsorption, reverse osmosis, and nanofiltration) were considered. The predicted percent-removals were taken from validated quantitative structure activity relationship (QSAR) models. Analytical methods to detect OMPs in water are very laborious, thus a modeling approach such as QSAR is an attractive option.A survey among two groups of participants including academics (PhD students and post-doctoral research associates) and industry (managers and operators) representatives was conducted to assign weights for the following criteria: treatability, costs, technical considerations, sustainability and time. The process rankings varied depending on the contaminant species and personal preferences (weights). The results indicated that RBF and oxidation were preferable over adsorption and membranes processes. The results also suggest that the use of a hybrid treatment process, e.g., combining a natural system with an

  19. Analysis of fuel relocation for the NRC/PNL Halden assemblies IFA-431, IFA-432, and IFA-513. Interim report

    International Nuclear Information System (INIS)

    Williford, R.E.; Mohr, C.L.; Lanning, D.D.; Cunningham, M.E.; Rausch, W.N.

    1980-06-01

    The effects of the thermally-induced cracking and subsequent relocation of UO2 fuel pellets on the thermal and mechanical behavior of light-water reactor fuel rods during irradiation are quantified in this report. Data from the Nuclear Regulatory Commission/Pacific Northwest Laboratory Halden experiments on instrumented fuel assemblies (IFA) IFA-431, IFA-432, and IFA-513 are analyzed. Beginning-of-life in-reactor measurements of fuel center temperatures, linear heat ratings, and cladding axial elongations are used in a new model to solve for the effective thermal conductivity and elastic moduli of the cracked fuel column. The primary assumptions of the new model are that (1) the cracked fuel is in a hydrostatic state of stress in the (r,theta) plane, and that (2) there is no axial slipping between fuel and cladding. Three basic parameters are used to describe the cracked fuel: (1) the crack pattern, (2) the crack roughness, and (3) the fuel surface (gap) roughness. Recommendations are made on refining the model

  20. Development of LILAC-meltpool for the thermo-hydraulic analysis of core melt relocated in a reactor vessel

    International Nuclear Information System (INIS)

    Kim, Jong Tae; Kim, Sang Baik; Kim, Hee Dong

    2002-03-01

    LILAC-meltpool has been developed to study thermo-hydraulic behavior of molten pool and thermal behavior of vessel wall during severe accident. To validate LILAC-meltpool code several two and three dimensional thermo-hydraulic problems were selected and solved. The benchmark problems have experimental results or verified numerical results. Through the validation it was found that LILAC-meltpool reproduces very accurate numerical results. Two-layered semicircular pool was solved to study thermal and hydraulic characteristics of pool stratification. The LAVA experiment using alumina/ferrite molten pool was calculated and compared with computed results. Cooling of alumina/ferrite two-layered pool was affected by stratification. In the numerical results temperature of vessel inner was highest at a location below the interface. Crust was developed from upper surface and lower outer surface, but in the area near the interface corium simulant existed as molten state for long time. LAVA-4 experiment was studied using gap-cooling model in LILAC-meltpool code. Temperature increase of LAVA vessel after alumina melt relocation was strongly dependent on gap formation mechanism. Calculated cooling rates of the vessel were very similar to experimental results. For LAVA experiments which do not have heat generation coolant penetrates easily into a gap and it is found that gap-cooling is very effective for cooling of vessel, but it is thought that coolant penetration could be limited near upper part of gap because of decay heat and high temperature of corium crust

  1. Applying Recursive Sensitivity Analysis to Multi-Criteria Decision Models to Reduce Bias in Defense Cyber Engineering Analysis

    Science.gov (United States)

    2015-10-28

    techniques such as regression analysis, correlation, and multicollinearity assessment to identify the change and error on the input to the model...between many of the independent or predictor variables, the issue of multicollinearity may arise [18]. VII. SUMMARY Accurate decisions concerning

  2. Morphometry and land cover based multi-criteria analysis for assessing the soil erosion susceptibility of the western Himalayan watershed.

    Science.gov (United States)

    Altaf, Sadaff; Meraj, Gowhar; Romshoo, Shakil Ahmad

    2014-12-01

    Complex mountainous environments such as Himalayas are highly susceptibility to natural hazards particular those that are triggered by the action of water such as floods, soil erosion, mass movements and siltation of the hydro-electric power dams. Among all the natural hazards, soil erosion is the most implicit and the devastating hazard affecting the life and property of the millions of people living in these regions. Hence to review and devise strategies to reduce the adverse impacts of soil erosion is of utmost importance to the planners of watershed management programs in these regions. This paper demonstrates the use of satellite based remote sensing data coupled with the observational field data in a multi-criteria analytical (MCA) framework to estimate the soil erosion susceptibility of the sub-watersheds of the Rembiara basin falling in the western Himalaya, using geographical information system (GIS). In this paper, watershed morphometry and land cover are used as an inputs to the MCA framework to prioritize the sub-watersheds of this basin on the basis of their different susceptibilities to soil erosion. Methodology included the derivation of a set of drainage and land cover parameters that act as the indicators of erosion susceptibility. Further the output from the MCA resulted in the categorization of the sub-watersheds into low, medium, high and very high erosion susceptibility classes. A detailed prioritization map for the susceptible sub-watersheds based on the combined role of land cover and morphometry is finally presented. Besides, maps identifying the susceptible sub-watersheds based on morphometry and land cover only are also presented. The results of this study are part of the watershed management program in the study area and are directed to instigate appropriate measures to alleviate the soil erosion in the study area.

  3. Trade-offs between forest carbon stocks and harvests in a steady state - A multi-criteria analysis.

    Science.gov (United States)

    Pingoud, Kim; Ekholm, Tommi; Sievänen, Risto; Huuskonen, Saija; Hynynen, Jari

    2018-03-15

    This paper provides a perspective for comparing trade-offs between harvested wood flows and forest carbon stocks with different forest management regimes. A constant management regime applied to a forest area with an even age-class distribution leads to a steady state, in which the annual harvest and carbon stocks remain constant over time. As both are desirable - carbon stocks for mitigating climate change and harvests for the economic use of wood and displacing fossil fuels - an ideal strategy should be chosen from a set of management regimes that are Pareto-optimal in the sense of multi-criteria decision-making. When choosing between Pareto-optimal alternatives, the trade-off between carbon stock and harvests is unavoidable. This trade-off can be described e.g. in terms of carbon payback times or carbon returns. As numerical examples, we present steady-state harvest levels and carbon stocks in a Finnish boreal forest region for different rotation periods, thinning intensities and collection patterns for harvest residues. In the set of simulated management practices, harvest residue collection presents the most favorable trade-off with payback times around 30-40 years; while Pareto-optimal changes in rotation or thinnings exhibited payback times over 100 years, or alternatively carbon returns below 1%. By extending the rotation period and using less-intensive thinnings compared to current practices, the steady-state carbon stocks could be increased by half while maintaining current harvest levels. Additional cases with longer rotation periods should be also considered, but were here excluded due to the lack of reliable data on older forest stands. Copyright © 2018 Elsevier Ltd. All rights reserved.

  4. Social vulnerability assessment of flood risk using GIS-based multicriteria decision analysis. A case study of Vila Nova de Gaia (Portugal

    Directory of Open Access Journals (Sweden)

    Paulo Fernandez

    2016-07-01

    Full Text Available Over the last decade, flood disasters have affected millions of people and caused massive economic losses. Social vulnerability assessment uses a combination of several factors to represent a population's differential access to resources and its ability to cope with and respond to hazards. In this paper, social vulnerability assessment to flood risk was applied to the third most populous Portuguese municipality. The study was developed at the neighbourhood level, allowing for social vulnerability analysis at inter civil parish, intra civil parish, and municipality scales. A geographic information system-based multicriteria decision analysis (GIS-MCDA was applied to social vulnerability and allows for an increased understanding and improved monitoring of social vulnerability over space, identifying ‘hot spots’ that require adaptation policies. Mafamude, Oliveira do Douro, Vila Nova de Gaia, and Avintes civil parishes display the greatest vulnerability to flooding. According to the most pessimistic scenario 57%–68% of the area of these civil parishes is classed at a high or very high level of social vulnerability. The GIS-MCDA helps to assess what and who is at risk, and where targeted impact-reduction strategies should be implemented. The results demonstrate the importance of an urban-scale approach instead of a river basin scale to urban flood risk management plans.

  5. Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

    Directory of Open Access Journals (Sweden)

    Kehinde Anthony Mogaji Hwee San Lim

    2017-01-01

    Full Text Available This study conducted a robust analysis on acquired 2D resistivity imaging data and borehole pumping test records to optimize groundwater potentiality mapping in Perak province, Malaysia using derived aquifer hydraulic properties. The transverse resistance (TR parameter was determined from the interpreted 2D resistivity imaging data by applying the Dar-Zarrouk parameter equation. Linear regression and GIS techniques were used to regress the estimated values for TR parameters with the aquifer transmissivity values extracted from the geospatially produced BPT records-based aquifer transmissivity map to develop the aquifer transmissivity parameter predictive (ATPP model. The reliability evaluated ATPP model using the Theil inequality coefficient measurement approach was used to establish geoelectrical-based hydraulic parameters (GHP modeling equations for the modeling of transmissivity (Tr, hydraulic conductivity (K, storativity (St, and hydraulic diffusivity (D properties. The applied GHP modeling equation results to the delineated aquifer media was used to produce aquifer potential conditioning factor maps for Tr, K, St, and D. The maps were modeled to develop an aquifer potential mapping index (APMI model via applying the multi-criteria decision analysis-analytic hierarchy process principle. The area groundwater reservoir productivity potential model map produced based on the processed APMI model estimates in the GIS environment was found to be 71% accurate. This study establishes a good alternative approach to determine aquifer hydraulic parameters even in areas where pumping test information is unavailable using a cost effective geophysical data. The produced map can be explored for hydrological decision making.

  6. Multi-dimensional project evaluation: Combining cost-benefit analysis and multi-criteria analysis with the COSIMA software system

    DEFF Research Database (Denmark)

    and not the least construction and maintenance costs. The MCA is made use of to assess noise, land use planning, business potential and tourism impacts for the three alternatives. More technically the software system offers a set of different features to undertake the MCA. Thus the users have two different methods...... for society is ranked uppermost. To compare the different impacts, it is necessary to have a common monetary unit. Theoretically, all benefits and all costs should be accounted for in socio-economic cost-benefit analysis. However, this is far from in practical the general case due to difficulties...... in a valuating all the criteria in monetary terms. Thus CBA does not meet the need for a comprehensive evaluation, for which reason MCA is introduced to overcome this problem. Not only does MCA provides an opportunity to include non-market impacts in the analysis, but MCA also provides a framework for breaking...

  7. 25 CFR 700.93 - Relocation plan.

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 2 2010-04-01 2010-04-01 false Relocation plan. 700.93 Section 700.93 Indians THE OFFICE OF NAVAJO AND HOPI INDIAN RELOCATION COMMISSION OPERATIONS AND RELOCATION PROCEDURES General Policies and Instructions Definitions § 700.93 Relocation plan. The relocation plan shall be the plan prepared...

  8. Multicriteria Evaluation of Product Quality

    OpenAIRE

    Pabedinskaitė, Arnoldina; Vitkauskas, Romualdas

    2009-01-01

    Product quality assessment is a complex task. The aim of this paper is to analyse the concepts of quality, different quality management models and their interaction with knowledge management models and the presented criteria system for assessing product quality. Moreover, multicriteria methods and their applicability to assessment of the product quality are analysed. On the basis of group of the product quality criteria and using the multicriteria evaluation methods, the quality of the produc...

  9. Mississippi Labor Mobility Demonstration Project--Relocating the Unemployed: Dimensions of Success.

    Science.gov (United States)

    Speight, John F.; And Others

    The document provides an analysis of relocation stability of individuals relocated during the March, 1970-November, 1971 contract period. Data bases were 1,244 applicants with screening information and 401 individuals with follow-up interview information. Approximately one half were in new areas six months after being relocated. Reasons for…

  10. Multicriteria VMAT optimization

    International Nuclear Information System (INIS)

    Craft, David; McQuaid, Dualta; Wala, Jeremiah; Chen, Wei; Salari, Ehsan; Bortfeld, Thomas

    2012-01-01

    Purpose: To make the planning of volumetric modulated arc therapy (VMAT) faster and to explore the tradeoffs between planning objectives and delivery efficiency. Methods: A convex multicriteria dose optimization problem is solved for an angular grid of 180 equi-spaced beams. This allows the planner to navigate the ideal dose distribution Pareto surface and select a plan of desired target coverage versus organ at risk sparing. The selected plan is then made VMAT deliverable by a fluence map merging and sequencing algorithm, which combines neighboring fluence maps based on a similarity score and then delivers the merged maps together, simplifying delivery. Successive merges are made as long as the dose distribution quality is maintained. The complete algorithm is called VMERGE. Results: VMERGE is applied to three cases: a prostate, a pancreas, and a brain. In each case, the selected Pareto-optimal plan is matched almost exactly with the VMAT merging routine, resulting in a high quality plan delivered with a single arc in less than 5 min on average. Conclusions: VMERGE offers significant improvements over existing VMAT algorithms. The first is the multicriteria planning aspect, which greatly speeds up planning time and allows the user to select the plan, which represents the most desirable compromise between target coverage and organ at risk sparing. The second is the user-chosen epsilon-optimality guarantee of the final VMAT plan. Finally, the user can explore the tradeoff between delivery time and plan quality, which is a fundamental aspect of VMAT that cannot be easily investigated with current commercial planning systems.

  11. Application of multi-criteria decision analysis in prediction of groundwater resources potential: A case of Oke-Ana, Ilesa Area Southwestern, Nigeria

    Directory of Open Access Journals (Sweden)

    A.A. Akinlalu

    2017-06-01

    Full Text Available Groundwater Potential of Oke-Ana area southwestern Nigeria have been evaluated using the integration of electrical resistivity method, remote sensing and geographic information systems. The effect of five hydrogeological indices, namely lineament density, drainage density, lithology, overburden thickness and aquifer layer resistivity on groundwater occurrence was established. Multi-criteria decision analysis technique was employed to assign weight to each of the index using the concept of analytical hierarchy process. The assigned weight was normalized and consistency ratio was established. In order to evaluate the groundwater potential of Oke-Ana, sixty-seven (67 vertical electrical sounding points were occupied. Ten curve types were delineated in the study area. The curve types vary from simple three layer A and H-type curves to the more complex four, five and six layer AA, HA, KH, QH, AKH, HKH, KHA and KHKH curves. Four subsurface geo-electric sequences of top soil, weathered layer, partially weathered/fractured basement and the fresh basement were delineated in the area. The analytical process assisted in classifying Oke-Ana into, low, medium and high groundwater potential zones. Validation of the model from well information and two aborted boreholes suggest 70% agreement.

  12. Combining multi-criteria decision analysis and mini-health technology assessment: A funding decision-support tool for medical devices in a university hospital setting.

    Science.gov (United States)

    Martelli, Nicolas; Hansen, Paul; van den Brink, Hélène; Boudard, Aurélie; Cordonnier, Anne-Laure; Devaux, Capucine; Pineau, Judith; Prognon, Patrice; Borget, Isabelle

    2016-02-01

    At the hospital level, decisions about purchasing new and oftentimes expensive medical devices must take into account multiple criteria simultaneously. Multi-criteria decision analysis (MCDA) is increasingly used for health technology assessment (HTA). One of the most successful hospital-based HTA approaches is mini-HTA, of which a notable example is the Matrix4value model. To develop a funding decision-support tool combining MCDA and mini-HTA, based on Matrix4value, suitable for medical devices for individual patient use in French university hospitals - known as the IDA tool, short for 'innovative device assessment'. Criteria for assessing medical devices were identified from a literature review and a survey of 18 French university hospitals. Weights for the criteria, representing their relative importance, were derived from a survey of 25 members of a medical devices committee using an elicitation technique involving pairwise comparisons. As a test of its usefulness, the IDA tool was applied to two new drug-eluting beads (DEBs) for transcatheter arterial chemoembolization. The IDA tool comprises five criteria and weights for each of two over-arching categories: risk and value. The tool revealed that the two new DEBs conferred no additional value relative to DEBs currently available. Feedback from participating decision-makers about the IDA tool was very positive. The tool could help to promote a more structured and transparent approach to HTA decision-making in French university hospitals. Copyright © 2015 Elsevier Inc. All rights reserved.

  13. Basin Irrigation Design with Multi-Criteria Analysis Focusing on Water Saving and Economic Returns: Application to Wheat in Hetao, Yellow River Basin

    Directory of Open Access Journals (Sweden)

    Qingfeng Miao

    2018-01-01

    Full Text Available The sustainability of the Hetao Irrigation System, located in the water scarce upper Yellow River basin, is a priority considering the need for water saving, increased water productivity, and higher farmers’ incomes. The upgrading of basin irrigation, the main irrigation method, is essential and includes the adoption of precise land levelling, cut-off management, improved water distribution uniformity, and adequate irrigation scheduling. With this objective, the current study focuses on upgrading wheat basin irrigation through improved design using a decision support system (DSS model, which considers land parcels characteristics, crop irrigation scheduling, soil infiltration, hydraulic simulation, and environmental and economic impacts. Its use includes outlining water saving scenarios and ranking alternative designs through multi-criteria analysis considering the priorities of stakeholders. The best alternatives concern flat level basins with a 100 and 200 m length and inflow rates between 2 and 4 L s−1 m−1. The total irrigation cost of designed projects, including the cost of the autumn irrigation, varies between 2400 and 3300 Yuan ha−1; the major cost component is land levelling, corresponding to 33–46% of total irrigation costs. The economic land productivity is about 18,000 Yuan ha−1. The DSS modelling defined guidelines to be applied by an extension service aimed at implementing better performing irrigation practices, and encouraged a good interaction between farmers and the Water Users Association, thus making easier the implementation of appropriate irrigation management programs.

  14. Incorporating socio-environmental considerations into project assessment models using multi-criteria analysis: A case study of Sri Lankan hydropower projects

    International Nuclear Information System (INIS)

    Morimoto, Risako

    2013-01-01

    Before commissioning any energy projects, conducting robust assessments of different options in terms of their economic and socio-environmental impacts is important for successful project implementation. Yet, there is currently a lack of tools that simultaneously assess sustainability impacts; instead, they are often investigated separately, which gives decision makers somehow disintegrated information. Thus the main objective of this study is to examine how to incorporate socio-environmental considerations into project assessment models. The multi-criteria analysis is applied to the case study of Sri Lankan hydropower projects as an illustrative example. The estimated quantitative relationship between economic, environmental and social impacts of hydropower development is presented in this study. Such estimation, using sustainability indicators of hydropower projects, enables us to understand marginal trade-offs among economic, environmental and social objectives of hydropower development. Hence, this would provide an overview of potential impacts of different scenarios that are designed to be implemented and indicate an optimum mix of hydropower generation. - Highlights: • This study provides an effective hydropower project evaluation method using the MCA. • The proposed tool shows the quantitative relationship explicitly. • Marginal trade-offs between sustainability objectives are presented

  15. Stadium Relocation in Professional Football

    DEFF Research Database (Denmark)

    Junghagen, Sven; Lillo, Gonzalo Leal

    The aim of this paper is to conceptually illustrate the tension between commercialisation and club authenticity, which is a potential consequence of stadium relocation. There is a commercial pressure for relocating a football club to new and more modern facilities, but also a pressure from...

  16. An integrated study of spatial multicriteria analysis and mathematical modelling for managed aquifer recharge site suitability mapping and site ranking at Northern Gaza coastal aquifer.

    Science.gov (United States)

    Rahman, Mohammad Azizur; Rusteberg, Bernd; Uddin, Mohammad Salah; Lutz, Annegret; Saada, Muath Abu; Sauter, Martin

    2013-07-30

    This paper describes an integrated approach of site suitability mapping and ranking of the most suitable sites, for the implementation of Managed Aquifer Recharge (MAR) projects, using spatial multicriteria decision analysis (SMCDA) techniques and mathematical modelling. The SMCDA procedure contains constraint mapping, site suitability analysis with criteria standardization and weighting, criteria overlay by analytical hierarchy process (AHP) combined with weighted linear combination (WLC) and ordered weighted averaging (OWA), and sensitivity analysis. The hydrogeological impacts of the selected most suitable sites were quantified by using groundwater flow and transport modelling techniques. Finally, ranking of the selected sites was done with the WLC method. The integrated approach is demonstrated by a case study in the coastal aquifer of North Gaza. Constraint mapping shows that 50% of the total study area is suitable for MAR implementation. About 25% of the total area is "very good" and 25% percent is "good" for MAR, according to the site suitability analysis. Six locations were selected and ranked against six representative decision criteria. Long term (year 2003 to year 2040) groundwater flow and transport simulations were performed to quantify the selected criteria under MAR project operation conditions at the selected sites. Finally, the suitability mapping and hydrogeological investigation recommends that the location of the existing infiltration ponds, constructed near the planned North Gaza Wastewater Treatment Plant (NGWWTP) is most suitable for MAR project implementation. This paper concludes that mathematical modelling should be combined with the SMCDA technique in order to select the best location for MAR project implementation. Besides MAR project implementation, the generalised approach can be applicable for any other water resources development project that deals with site selection and implementation. Copyright © 2013 Elsevier Ltd. All rights

  17. Method Development for Clinical Comprehensive Evaluation of Pediatric Drugs Based on Multi-Criteria Decision Analysis: Application to Inhaled Corticosteroids for Children with Asthma.

    Science.gov (United States)

    Yu, Yuncui; Jia, Lulu; Meng, Yao; Hu, Lihua; Liu, Yiwei; Nie, Xiaolu; Zhang, Meng; Zhang, Xuan; Han, Sheng; Peng, Xiaoxia; Wang, Xiaoling

    2018-04-01

    Establishing a comprehensive clinical evaluation system is critical in enacting national drug policy and promoting rational drug use. In China, the 'Clinical Comprehensive Evaluation System for Pediatric Drugs' (CCES-P) project, which aims to compare drugs based on clinical efficacy and cost effectiveness to help decision makers, was recently proposed; therefore, a systematic and objective method is required to guide the process. An evidence-based multi-criteria decision analysis model that involved an analytic hierarchy process (AHP) was developed, consisting of nine steps: (1) select the drugs to be reviewed; (2) establish the evaluation criterion system; (3) determine the criterion weight based on the AHP; (4) construct the evidence body for each drug under evaluation; (5) select comparative measures and calculate the original utility score; (6) place a common utility scale and calculate the standardized utility score; (7) calculate the comprehensive utility score; (8) rank the drugs; and (9) perform a sensitivity analysis. The model was applied to the evaluation of three different inhaled corticosteroids (ICSs) used for asthma management in children (a total of 16 drugs with different dosage forms and strengths or different manufacturers). By applying the drug analysis model, the 16 ICSs under review were successfully scored and evaluated. Budesonide suspension for inhalation (drug ID number: 7) ranked the highest, with comprehensive utility score of 80.23, followed by fluticasone propionate inhaled aerosol (drug ID number: 16), with a score of 79.59, and budesonide inhalation powder (drug ID number: 6), with a score of 78.98. In the sensitivity analysis, the ranking of the top five and lowest five drugs remains unchanged, suggesting this model is generally robust. An evidence-based drug evaluation model based on AHP was successfully developed. The model incorporates sufficient utility and flexibility for aiding the decision-making process, and can be a useful

  18. Malpositioned Osseointegrated Implants Relocated with Segmental Osteotomies : A Retrospective Analysis of a Multicenter Case Series with a 1-to 15-Year Follow-Up

    NARCIS (Netherlands)

    Stacchi, Claudio; Chen, Stephen T.; Raghoebar, Gerry M.; Rosen, Daren; Poggio, Carlo E.; Ronda, Marco; Bacchini, Marco; Di Lenarda, Roberto

    2013-01-01

    Purpose: This multicenter case series evaluates retrospectively the clinical outcomes of malpositioned implants surgically relocated in a more convenient position by segmental osteotomies. Materials and Methods: Authors who published, on indexed journals or books, works about malpositioned implant

  19. Multicriteria analysis using open-source data and software for the implementation of a centralized biomedical waste management system in a developing country (Guinea, Conakry).

    Science.gov (United States)

    Pérez Peña, José Vicente; Baldó, Mane; Acosta, Yarci; Verschueren, Laurent; Thibaud, Kenmognie; Bilivogui, Pépé; Jean-Paul Ngandu, Alain; Beavogui, Maoro

    2017-04-01

    In the last decade the increasing interest for public health has promoted specific regulations for the transport, storage, transformation and/or elimination of potentially toxic waste. A special concern should focus on the effective management of biomedical waste, due to the environmental and health risk associated with them. The first stage for the effective management these waste includes the selection of the best sites for the location of facilities for its storage and/or elimination. Best-site selection is accomplished by means of multi-criteria decision analyses (MCDA) that aim to minimize the social and environmental impact, and to maximize management efficiency. In this work we presented a methodology that uses open-source software and data to analyze the best location for the implantation of a centralized waste management system in a developing country (Guinea, Conakry). We applied an analytical hierarchy process (AHP) using different thematic layers such as land use (derived from up-to-date Sentinel 2 remote sensing images), soil type, distance and type of roads, hydrography, distance to dense populated areas, etc. Land-use data were derived from up-to-date Sentinel 2 remote sensing images, whereas roads and hydrography were obtained from the Open Street Map database and latter validated with administrative data. We performed the AHP analysis with the aid of QGIS open-software Geospatial Information System. This methodology is very effective for developing countries as it uses open-source software and data for the MCDA analysis, thus reducing costs in these first stages of the integrated analysis.

  20. An Integrated Multi-Criteria Decision Making Model and AHP Weighting Uncertainty Analysis for Sustainability Assessment of Coal-Fired Power Units

    Directory of Open Access Journals (Sweden)

    Dianfa Wu

    2018-05-01

    Full Text Available The transformation of the power generation industry from coal-based to more sustainable energy sources is an irreversible trend. In China, the coal-fired power plant, as the main electric power supply facility at present, needs to know its own sustainability level to face the future competition. A hybrid multi-criteria decision making (MCDM model is proposed in this paper to assess the sustainability levels of the existing Chinese coal-fired power units. The areal grey relational analysis (AGRA method is involved in the hybrid model, and a combined weighting method is used to determine the priorities of the criteria. The combining weight fuses the fuzzy rough set (FRS and entropy objective weighting method together with the analytic hierarchy process (AHP subjective weighting method by game theory. Moreover, an AHP weighting uncertainty analysis using Monte Carlo (MC simulation is introduced to measure the uncertainty of the results, and a 95 percent confidence interval (CI is defined as the uncertainty measurement of the alternatives. A case study about eight coal-fired power units is carried out with a criteria system, which contains five aspects in an operational perspective, such as the flexibility, economic, environmental, reliability and technical criterion. The sustainability assessment is performed at the unit level, and the results give a priority rank of the eight alternatives; additionally, the uncertainty analysis supplies the extra information from a statistical perspective. This work expands a novel hybrid MCDM method to the sustainability assessment of the power generation systems, and it may be a benefit to the energy enterprises in assessing the sustainability at the unit level and enhance its ability in future sustainable development.

  1. Resourcefulness, positive cognitions, relocation controllability and relocation adjustment among older people: a cross-sectional study of cultural differences.

    Science.gov (United States)

    Bekhet, Abir K; Zauszniewski, Jaclene A

    2013-09-01

    The population of older people in both the United States and Egypt is expected to double by the year 2030. With ageing, chronic illnesses increase and many older people need to relocate to retirement communities. Research has shown that positive cognitions and resourcefulness are positively correlated with adaptive functioning and better adjustment. The purpose of this study was to examine and compare relocation controllability, positive cognitions, resourcefulness and relocation adjustment between American and Egyptian older people living in retirement communities. The purpose of this cultural comparison is to gain insight into influencing factors in each culture that might lead to interventions to help relocated older adults in both cultures adjust to their new surroundings. A cross-sectional, descriptive design was used to compare relocation controllability, positive cognitions, resourcefulness and relocation adjustment of a convenience sample of American older people (n = 104) and a convenience sample of Egyptian older people (n = 94). The study was a secondary analysis of two studies of older people residing in six retirement communities in Northeast Ohio and in five retirement communities in Alexandria, Egypt. Examination of mean scores and standard deviations on the measure of positive cognitions using independent sample t-tests indicated that on average, the American older people reported more positive cognitions (t (131.16) = 11.29, P difference between Egyptians and Americans in resourcefulness (t (174.16) = -0.97, P > 0.05). The results provide direction for the development of positive cognition interventions and engaging older people in the decision-making process to help them to adjust to relocation. Implications for practice.  Positive thinking and resourcefulness training interventions can be used by nurses to help relocated older people to adjust to the stress of relocation to retirement communities. These interventions can be used on primary

  2. Organic farming and multi-criteria decisions

    DEFF Research Database (Denmark)

    Christensen, Tove; Olsen, Søren Bøye; Dubgaard, Alex

    of the many different Multi-Criteria Analysis (MCA) techniques available and their relative advantages and disadvantages. In addition, theoretical and practical problems related to the use of Cost-Benefit Analysis (CBA) and MCA respectively are briefly discussed. We then review the MCA literature on case...... studies on organic farming. Based on this review we provide directional markers for future research where MCA may possibly be applied and adapted in order to provide useful knowledge and support for decision makers in the context of organic farming....

  3. DRUG EVALUATION AND DECISION MAKING IN CATALONIA: DEVELOPMENT AND VALIDATION OF A METHODOLOGICAL FRAMEWORK BASED ON MULTI-CRITERIA DECISION ANALYSIS (MCDA) FOR ORPHAN DRUGS.

    Science.gov (United States)

    Gilabert-Perramon, Antoni; Torrent-Farnell, Josep; Catalan, Arancha; Prat, Alba; Fontanet, Manel; Puig-Peiró, Ruth; Merino-Montero, Sandra; Khoury, Hanane; Goetghebeur, Mireille M; Badia, Xavier

    2017-01-01

    The aim of this study was to adapt and assess the value of a Multi-Criteria Decision Analysis (MCDA) framework (EVIDEM) for the evaluation of Orphan drugs in Catalonia (Catalan Health Service). The standard evaluation and decision-making procedures of CatSalut were compared with the EVIDEM methodology and contents. The EVIDEM framework was adapted to the Catalan context, focusing on the evaluation of Orphan drugs (PASFTAC program), during a Workshop with sixteen PASFTAC members. The criteria weighting was done using two different techniques (nonhierarchical and hierarchical). Reliability was assessed by re-test. The EVIDEM framework and methodology was found useful and feasible for Orphan drugs evaluation and decision making in Catalonia. All the criteria considered for the development of the CatSalut Technical Reports and decision making were considered in the framework. Nevertheless, the framework could improve the reporting of some of these criteria (i.e., "unmet needs" or "nonmedical costs"). Some Contextual criteria were removed (i.e., "Mandate and scope of healthcare system", "Environmental impact") or adapted ("population priorities and access") for CatSalut purposes. Independently of the weighting technique considered, the most important evaluation criteria identified for orphan drugs were: "disease severity", "unmet needs" and "comparative effectiveness", while the "size of the population" had the lowest relevance for decision making. Test-retest analysis showed weight consistency among techniques, supporting reliability overtime. MCDA (EVIDEM framework) could be a useful tool to complement the current evaluation methods of CatSalut, contributing to standardization and pragmatism, providing a method to tackle ethical dilemmas and facilitating discussions related to decision making.

  4. A Note on the Validity and Reliability of Multi-Criteria Decision Analysis for the Benefit-Risk Assessment of Medicines.

    Science.gov (United States)

    Garcia-Hernandez, Alberto

    2015-11-01

    The comparative evaluation of benefits and risks is one of the most important tasks during the development, market authorization and post-approval pharmacovigilance of medicinal products. Multi-criteria decision analysis (MCDA) has been recommended to support decision making in the benefit-risk assessment (BRA) of medicines. This paper identifies challenges associated with bias or variability that practitioners may encounter in this field and presents solutions to overcome them. The inclusion of overlapping or preference-complementary criteria, which are frequent violations to the assumptions of this model, should be avoided. For each criterion, a value function translates the original outcomes into preference-related scores. Applying non-linear value functions to criteria defined as the risk of suffering a certain event during the study introduces specific risk behaviours in this prescriptive, rather than descriptive, model and is therefore a questionable practice. MCDA uses weights to compare the importance of the model criteria with each other; during their elicitation a frequent situation where (generally favourable) mild effects are directly traded off against low probabilities of suffering (generally unfavourable) severe effects during the study is known to lead to biased and variable weights and ought to be prevented. The way the outcomes are framed during the elicitation process, positively versus negatively for instance, may also lead to differences in the preference weights, warranting an appropriate justification during each implementation. Finally, extending the weighted-sum MCDA model into a fully inferential tool through a probabilistic sensitivity analysis is desirable. However, this task is troublesome and should not ignore that clinical trial endpoints generally are positively correlated.

  5. Industrial relocation and energy consumption: Evidence from China

    International Nuclear Information System (INIS)

    Zhao Xiaoli; Yin Haitao

    2011-01-01

    With economic development and the change of industrial structure, industrial relocation is an inevitable trend. In the process of industrial relocation, environmental externality and social cost could occur due to market failure and government failure. Little attention has been paid to this issue. In this paper, we address it with a theoretical analysis and an empirical investigation on the relationship between China's industrial relocation in the early 1990s and energy consumption which is the primary source of CO 2 emission, an environmental externality that causes increasing concerns. The macro-policy analysis suggests that there would be a positive link between China's industrial relocation in the early 1990s and energy saving (and environmental externalities reduction). Using fixed-effect regression model and simulation method, we provide an empirical support to this argument. In order to further reduce environmental externalities and social cost in the process of industrial relocation, we provide policy suggestions as follows: First, strengthen the evaluation of environmental benefits/costs; Second, pay more attention to the coordinated social-economic development; Third, avoid long-lived investment in high-carbon infrastructure in areas with industries moved in; Fourth, address employment issue in the areas with industries moved out. - Research highlights: → Little attention has been paid to the linkage between industrial relocation and environmental externality. → Our macro-policy analysis suggests that there would be a positive link between China's industrial relocation in the early 1990s and energy saving (and environmental externalities reduction). → Using fixed-effect regression model and simulation method, we find a positive link between China's industrial relocation in the early 1990s and energy saving. → Policy suggestions to further reduce environmental externalities and social cost in the process of industrial relocation are discussed.

  6. A multi-criteria model for maintenance job scheduling

    Directory of Open Access Journals (Sweden)

    Sunday A. Oke

    2007-12-01

    Full Text Available This paper presents a multi-criteria maintenance job scheduling model, which is formulated using a weighted multi-criteria integer linear programming maintenance scheduling framework. Three criteria, which have direct relationship with the primary objectives of a typical production setting, were used. These criteria are namely minimization of equipment idle time, manpower idle time and lateness of job with unit parity. The mathematical model constrained by available equipment, manpower and job available time within planning horizon was tested with a 10-job, 8-hour time horizon problem with declared equipment and manpower available as against the required. The results, analysis and illustrations justify multi-criteria consideration. Thus, maintenance managers are equipped with a tool for adequate decision making that guides against error in the accumulated data which may lead to wrong decision making. The idea presented is new since it provides an approach that has not been documented previously in the literature.

  7. The TMI-2 core relocation: Heat transfer and mechanism

    International Nuclear Information System (INIS)

    Epstein, M.; Fauske, H.K.

    1987-07-01

    It is postulated that the collapse of the upper debris bed was the main cause of core failure and core material relocation during the TMI-2 accident. It is shown that this mechanism of core relocation can account for the timescale(s) and energy transfer rate inferred from plant instrumentation. Additional analysis suggests that the water in the lower half of the reactor vessel was subcooled at the onset of relocation, as subcooling serves to explain the final coolable configuration at the bottom of the TMI vessel

  8. Combining multicriteria decision analysis, ethics and health technology assessment: applying the EVIDEM decisionmaking framework to growth hormone for Turner syndrome patients

    Directory of Open Access Journals (Sweden)

    Grégoire Jean-Pierre

    2010-04-01

    Full Text Available Abstract Objectives To test and further develop a healthcare policy and clinical decision support framework using growth hormone (GH for Turner syndrome (TS as a complex case study. Methods The EVIDEM framework was further developed to complement the multicriteria decision analysis (MCDA Value Matrix, that includes 15 quantifiable components of decision clustered in four domains (quality of evidence, disease, intervention and economics, with a qualitative tool including six ethical and health system-related components of decision. An extensive review of the literature was performed to develop a health technology assessment report (HTA tailored to each component of decision, and content was validated by experts. A panel of representative stakeholders then estimated the MCDA value of GH for TS in Canada by assigning weights and scores to each MCDA component of decision and then considered the impact of non-quantifiable components of decision. Results Applying the framework revealed significant data gaps and the importance of aligning research questions with data needs to truly inform decision. Panelists estimated the value of GH for TS at 41% of maximum value on the MCDA scale, with good agreement at the individual level (retest value 40%; ICC: 0.687 and large variation across panelists. Main contributors to this panel specific value were "Improvement of efficacy", "Disease severity" and "Quality of evidence". Ethical considerations on utility, efficiency and fairness as well as potential misuse of GH had mixed effects on the perceived value of the treatment. Conclusions This framework is proposed as a pragmatic step beyond the current cost-effectiveness model, combining HTA, MCDA, values and ethics. It supports systematic consideration of all components of decision and available evidence for greater transparency. Further testing and validation is needed to build up MCDA approaches combined with pragmatic HTA in healthcare decisionmaking.

  9. Discrepancies between multicriteria decision analysis-based ranking and intuitive ranking for pharmaceutical benefit-risk profiles in a hypothetical setting.

    Science.gov (United States)

    Hoshikawa, K; Ono, S

    2017-02-01

    Multicriteria decision analysis (MCDA) has been generally considered a promising decision-making methodology for the assessment of drug benefit-risk profiles. There have been many discussions in both public and private sectors on its feasibility and applicability, but it has not been employed in official decision-makings. For the purpose of examining to what extent MCDA would reflect the first-hand, intuitive preference of evaluators in practical pharmaceutical assessments, we conducted a questionnaire survey involving the participation of employees of pharmaceutical companies. Showing profiles of the efficacy and safety of four hypothetical drugs, each respondent was asked to rank them following the standard MCDA process and then to rank them intuitively (i.e. without applying any analytical framework). These two approaches resulted in substantially different ranking patterns from the same individuals, and the concordance rate was surprisingly low (17%). Although many respondents intuitively showed a preference for mild, balanced risk-benefit profiles over profiles with a conspicuous advantage in either risk or benefit, the ranking orders based on MCDA scores did not reflect the intuitive preference. Observed discrepancies between the rankings seemed to be primarily attributed to the structural characteristics of MCDA, which assumes that evaluation on each benefit and risk component should have monotonic impact on final scores. It would be difficult for MCDA to reflect commonly observed non-monotonic preferences for risk and benefit profiles. Possible drawbacks of MCDA should be further investigated prior to the real-world application of its benefit-risk assessment. © 2016 John Wiley & Sons Ltd.

  10. Multi-criteria analysis of soil pollution by heavy metals in the vicinity of the Copper Smelting Plant in Bor (Serbia

    Directory of Open Access Journals (Sweden)

    NEVENKA PETROVIĆ

    2011-04-01

    Full Text Available This study highlights the consequences on soil pollution of one hund­red years of manufacturing in the Copper Mining and Smelting Complex RTB-Bor (Serbia. Soil sediments were taken via a probe from the surface layer of the soil at twelve different measuring points. The measuring points were all within 20 km of the smelting plant, which included both urban and rural zones. Soil sampling was performed using a soil core sampler in such way that a core of a soil of radius 5 cm and depth of 30 cm was removed. Subsequently, the samples were analyzed for pH and heavy metal concentrations (Cu, Pb, As, Cd, Mn, Ni and Hg using different spectrometric methods. The obtained results for the heavy metal contents in the samples show high values: 2,540 mg kg-1 Cu; 230 mg kg-1 Pb; 6 mg kg-1 Cd; 530 mg kg-1 Ni; 1,300 mg kg-1 Mn; 260 mg kg-1 As and 0.3 mg kg-1 Hg. In this study, critical zones of polluted soil were iden­tified and ranked according to their metal contents by the multi-criteria deci­sion method Preference Organization Method for Enrichment Evaluation/Geo­metrical Analysis for Interactive Assistance – PROMETHEE/GAIA, which is the preferred multivariate method commonly used in chemometric studies. The ranking results clearly showed that the most polluted zones are at locations holding the vital functions of the town. Therefore, due to the high bioavail­abi­lity of heavy metals through com­plex reactions with organic species in the sediments, consequences for human health could drastically emerge if these metals enter the food chain.

  11. Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research.

    Science.gov (United States)

    Maruthur, Nisa M; Joy, Susan; Dolan, James; Segal, Jodi B; Shihab, Hasan M; Singh, Sonal

    2013-01-01

    Regulatory decision-making involves assessment of risks and benefits of medications at the time of approval or when relevant safety concerns arise with a medication. The Analytic Hierarchy Process (AHP) facilitates decision-making in complex situations involving tradeoffs by considering risks and benefits of alternatives. The AHP allows a more structured method of synthesizing and understanding evidence in the context of importance assigned to outcomes. Our objective is to evaluate the use of an AHP in a simulated committee setting selecting oral medications for type 2 diabetes.  This study protocol describes the AHP in five sequential steps using a small group of diabetes experts representing various clinical disciplines. The first step will involve defining the goal of the decision and developing the AHP model. In the next step, we will collect information about how well alternatives are expected to fulfill the decision criteria. In the third step, we will compare the ability of the alternatives to fulfill the criteria and judge the importance of eight criteria relative to the decision goal of the optimal medication choice for type 2 diabetes. We will use pairwise comparisons to sequentially compare the pairs of alternative options regarding their ability to fulfill the criteria. In the fourth step, the scales created in the third step will be combined to create a summary score indicating how well the alternatives met the decision goal. The resulting scores will be expressed as percentages and will indicate the alternative medications' relative abilities to fulfill the decision goal. The fifth step will consist of sensitivity analyses to explore the effects of changing the estimates. We will also conduct a cognitive interview and process evaluation.  Multi-criteria decision analysis using the AHP will aid, support and enhance the ability of decision makers to make evidence-based informed decisions consistent with their values and preferences.

  12. Determination of local-area distribution and relocation of radioactive cesium in trees from Fukushima Daiichi Nuclear Power Plant by autoradiography analysis

    International Nuclear Information System (INIS)

    Sakamoto, Fuminori; Ohnuki, Toshihiko; Kozai, Naofumi; Yamasaki, Shinya; Yoshida, Zenko; Nanba, Kenji

    2013-01-01

    The local area distribution and relocation of radioactive cesium deposited in trees after the 2011 tsunami-related accident at the Fukushima Daiichi Nuclear Power Plant (FDNPP) have been studied by measuring the spatial distribution of cesium on/in trees by autoradiography analysis. Samples of trees were collected from places located between 4 and 55 km from FDNPP approximately 2, 8, 20, and 22 months after the accident. The autoradiography analyses of Cryptomeria japonica, Torreya nucifera, and Thujopsis dolabrata var. hondae samples collected approximately 2 and 8 months after the accident showed that radioactive Cs was mainly distributed as spots on the branches and leaves of the trees emerged before the accident, and was detected in negligible amounts in new branch and leaves that emerged after the accident. On the contrary, radioactive Cs was detected at the outermost tip of the branches in the trees collected 20 months after the accident. Morus alba samples collected 22 months after the accident contained radioactive Cs inside and outside their stems, even though no radioactive Cs was detected in their roots, strongly suggesting that a certain amount of radioactive Cs was translocated from the outside to the inside of stems. These results indicate that the distribution of radioactive Cs deposited on/in the trees gradually changes with time (scale: year). (author)

  13. Multicriteria decision-making method based on a cosine similarity ...

    African Journals Online (AJOL)

    the cosine similarity measure is often used in information retrieval, citation analysis, and automatic classification. However, it scarcely deals with trapezoidal fuzzy information and multicriteria decision-making problems. For this purpose, a cosine similarity measure between trapezoidal fuzzy numbers is proposed based on ...

  14. RELOCATION OF HOME APPLIANCES FACTORY BY USING SYSTEMATICAL LAYOUT PLANNING (SLP COMBINED WITH FLOW ANALYSIS AND ASSEMBLY PROCESS DESIGN

    Directory of Open Access Journals (Sweden)

    Yosef Adji Baskoro

    2011-12-01

    Full Text Available Every manufacturing company must have experiencing building a layout. Fred.E Meyers has stated that only death and taxes are certain, there exist a third certainty-a plant layout will change, thus many methods to generate layout are established and each has its own purposes and benefits. This research focused on the design of manufacturing facilities supported by in-depth analysis of Assembly process design with a high stresses on the Systematical Layout Planning ( SLP and Flow Analysis method to facilitate an outcome of layout accordingly to the system needs. This is a real case study conducts with an objective of generating a recommendation layout for Home Appliances Company specifically for television plant

  15. Does technique matter; a pilot study exploring weighting techniques for a multi-criteria decision support framework

    NARCIS (Netherlands)

    van Til, Janine Astrid; Groothuis-Oudshoorn, Catharina Gerarda Maria; Lieferink, Marijke; Dolan, James; Goetghebeur, Mireille

    2014-01-01

    Background There is an increased interest in the use of multi-criteria decision analysis (MCDA) to support regulatory and reimbursement decision making. The EVIDEM framework was developed to provide pragmatic multi-criteria decision support in health care, to estimate the value of healthcare

  16. Planner and nuclear crisis relocation

    International Nuclear Information System (INIS)

    Platt, R.H.

    1984-01-01

    Criticism of the Federal Emergency Management Agency (FEMA) plans to relocate two-thirds of the American people one week before a nuclear attack has been so intense that planners have renamed the crisis relocation plan to Integrated Emergency Management. A careful study of plans for the town of Greenfield, Massachusetts show that they are not only unworkable, but would seriously weaken the country even if no attack occurred. Recent warnings of a global climatic catastrophe and nuclear winter in the wake of a nuclear exchange underscore the need to denounce relocation policies as dangerous. Planners should take the lead in emphasizing the long-term consequences and informing the public that there is no civil defense against nuclear war. 7 references

  17. APPROACHES TO LENIENCY REDUCTION IN MULTI-CRITERIA DECISION MAKING WITH INTERVAL-VALUED FUZZY SETS AND AN EXPERIMENTAL ANALYSIS

    OpenAIRE

    TING-YU CHEN

    2012-01-01

    The purpose of this paper is to present a useful method for estimating the importance of criteria and reducing the leniency bias in multiple criteria decision analysis based on interval-valued fuzzy sets. Several types of net predispositions are defined to represent an aggregated effect of interval-valued fuzzy evaluations. The suitability function for measuring the overall evaluation of each alternative is then determined based on simple additive weighting (SAW) methods. Because positive or ...

  18. NONLINEAR ASSIGNMENT-BASED METHODS FOR INTERVAL-VALUED INTUITIONISTIC FUZZY MULTI-CRITERIA DECISION ANALYSIS WITH INCOMPLETE PREFERENCE INFORMATION

    OpenAIRE

    TING-YU CHEN

    2012-01-01

    In the context of interval-valued intuitionistic fuzzy sets, this paper develops nonlinear assignment-based methods to manage imprecise and uncertain subjective ratings under incomplete preference structures and thereby determines the optimal ranking order of the alternatives for multiple criteria decision analysis. By comparing each interval-valued intuitionistic fuzzy number's score function, accuracy function, membership uncertainty index, and hesitation uncertainty index, a ranking proced...

  19. How can fuel cell vehicles bring a bright future for this dragon? Answer by multi-criteria decision making analysis

    DEFF Research Database (Denmark)

    Zhang, Long; Yu, Jing; Ren, Jingzheng

    2016-01-01

    Fuel Cell Vehicles (FCVs) has been introduced to the market around the world in recent years. As the largest automobile market of the world, China is also one of the potential FCVs market. However, a series of factors and barriers influence the willingness of China’s customers to accept FCVs....... By using Fishbone Diagram, field survey and workshop discussions, this paper proposes a group of factors that may affect customers’ preferences on FCVs. Furthermore, Fuzzy AHP and Pareto Analysis are employed to prioritize these factors, and identify the critical ones. The results indicate that fuel...... availability, vehicle performance, and economic costs are the most important dimensions in affecting customers’ attitude towards FCVs. More specifically, vehicle reliability and safety, purchasing cost, industry development, vehicle model and space contribute the most significance in customers’ purchase...

  20. Impact Assessment and Multicriteria Decision Analysis of Alternative Managed Aquifer Recharge Strategies Based on Treated Wastewater in Northern Gaza

    Directory of Open Access Journals (Sweden)

    Mohammad Azizur Rahman

    2014-12-01

    Full Text Available For better planning of a managed aquifer recharge (MAR project, the most promising strategies should analyze the environmental impact, socio-economic efficiency, and their contribution to the existing or future water resource conditions in the region. The challenge of such studies is to combine and quantify a wide range of criteria from the environment and society. This necessity leads to an integrated concept and analysis. This paper outlines an integrated approach considering environmental, health, social and economic aspects to support in the decision-making process to implement a managed aquifer recharge project as a potential response to water resource problems. In order to demonstrate the approach in detail, this paper analysed several water resources management strategies based on MAR implementation, by using treated wastewater in the Northern Gaza Strip and the potential impacts of the strategies on groundwater resources, agriculture, environment, health, economy and society. Based on the Palestinian water policy (Year 2005–2025 on wastewater reuse, three MAR strategies were developed in close cooperation with the local decision makers. The strategies were compared with a base line strategy referred to as the so-called “Do Nothing Approach”. The results of the study show that MAR project implementation with treated wastewater at a maximum rate, considered together with sustainable development of groundwater, is the best and most robust strategy amongst those analyzed. The analysis shows the defined MAR strategies contribute to water resources development and environmental protection or improvement including an existing eutrophic lake. The integrated approach used in this paper may be applicable not only to MAR project implementation but also to other water resources and environmental development projects.

  1. The use of multi-criteria analysis (MCA) for evaluating feasible countermeasures after an accidental release of radioactivity

    International Nuclear Information System (INIS)

    Schenker-Wicki, A.

    1988-01-01

    The aim of this study is to establish a system that enables rational decisions to be taken for reducing (if necessary) the radiological risk to a population. These decisions normally concern whether a particular food product will be consumed or not, as well as wether it should be diverted for other uses. To evaluate the consequences of such actions, many different criteria have to be taken into account such as the radiological risk, nutritional and environmental criteria, current technical intervention levels, economic costs and public reaction. Under the guidance of the Institute of Automation and Operations Research at the University of Fribourg a Multi-Criteria-Analysis (MCA) approach, based on the most recent developments in decision theory, is being elaborated. MCA requires input from a suite of sub-models combined with basic input data. For the radiological impact model the German code ECOSYS will be adapted for Swiss conditions. Furthermore, input data on the effect of food processing on radionuclide content of foodstuffs and consumption habits are needed. MCA thus allows the consequences of different countermeasures to be assessed in relation to the different governing criteria. In order to allow efficient use of this technique it shall be implemented as a user friendly computerized decision support system. In this paper, an example of different countermeasures to reduce the dose from milk contaminated with I-131 resulting from a reactor accident is given

  2. A hybrid multi-criteria decision modeling approach for the best biodiesel blend selection based on ANP-TOPSIS analysis

    Directory of Open Access Journals (Sweden)

    G. Sakthivel

    2015-03-01

    Full Text Available The ever increasing demand and depletion of fossil fuels had an adverse impact on environmental pollution. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. This paper describes an application of hybrid Multi Criteria Decision Making (MCDM technique for the selection of optimum fuel blend in fish oil biodiesel for the IC engine. The proposed model, Analytical Network Process (ANP is integrated with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS and VlseKriterijumska Optimizacija I Kompromisno Resenje (in Serbian (VIKOR to evaluate the optimum blend. Evaluation of suitable blend is based on the exploratory analysis of the performance, emission and combustion parameters of the single cylinder, constant speed direct injection diesel engine at different load conditions. Here the ANP is used to determine the relative weights of the criteria, whereas TOPSIS and VIKOR are used for obtaining the final ranking of alternative blends. An efficient pair-wise comparison process and ranking of alternatives can be achieved for optimum blend selection through the integration of ANP with TOPSIS and VIKOR. The obtained preference order of the blends for ANP-VIKOR and ANP-TOPSIS are B20 > Diesel > B40 > B60 > B80 > B100 and B20 > B40 > Diesel > B60 > B80 > B100 respectively. Hence by comparing both these methods, B20 is selected as the best blend to operate the internal combustion engines. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R& D engineers to meet the fuel economy and emission norms to empower the green revolution.

  3. Multi-criteria decision analysis to select the optimum position and proper field of view of a photosensor

    International Nuclear Information System (INIS)

    Doulos, L.; Tsangrassoulis, A.; Topalis, F.V.

    2014-01-01

    Highlights: • A new methodology for the determination of proper FOV and position of a photosensor is proposed. • Model takes into account illuminance ratio, energy savings and lighting adequacy. • A multiple criteria decision method (ELECTRE) is used to estimate best solution. • A number of simulations were performed in order to clarify the calculation procedure. • An experimental procedure was performed in order to verify the simulation procedure. - Abstract: The lack of knowledge concerning the commissioning of a daylight responsive system constitutes a serious impediment to their widespread use. Furthermore, installation details and tools regarding their photosensor position and field of view (FOV) are insufficient. This paper presents a decision making method capable to estimate the best position of a photosensor on the ceiling and its proper FOV based on multiple criteria analysis. The criteria used are (a) the correlation of the lighting levels between the working plane and the ceiling, (b) the corresponding energy savings and (c) the lighting adequacy which is defined as the percentage for occupied time with total illuminance exceeding design illuminance (i.e 500 lux EN 12464-1, 2011) and is strongly affected by the control algorithm. A number of simulations with variable FOV and position of photosensors were performed in order to clarify the calculation procedure of the proposed methodology. Three different typical room geometries have been used with variable window sizes and orientation. Furthermore a prototype photosensor with variable FOV through the use of a telescopic cylinder was constructed and placed in a scale room (1:10) in order to verify the results of simulations. The verification was based on a set of experimental procedures concerning measurements of the spatial response of the prototype photosensor (for various FOVs) and measurements of ceiling/workplane illuminance inside the scaled room for various combinations of position and

  4. The Problem of Faculty Relocation.

    Science.gov (United States)

    Tabachnick, Stephen E.

    1992-01-01

    A faculty move to a new campus can be traumatic, but colleges and universities can take steps to lessen the strain. Solutions to faculty relocation problems should be a standard part of any hiring package, not left to chance and individual negotiation. Some problems are inexpensive and easy to solve. (MSE)

  5. Cost and Savings Estimates the Air Force Used to Decide Against Relocating the Electromagnetic Compatibility Analysis Center from Annapolis, Maryland, to Duluth, Minnesota.

    Science.gov (United States)

    1983-03-09

    that maximize electromagnetic compatibility potential. -- Providing direct assistance on an reimbursable basis to DOD and other Government agencies on...value, we estimated that reimburs - able real estate expenses would average about $6,458 rather than $4,260 included in the Air Force estimate. When the...of estimated reimbursement was assumed to be necessary to encourage the relocation of more professional employees and increase their estimated

  6. Built Environment, Travel Attitudes and Travel Behaviour: Quasi-Longitudinal Analysis of Links in the Case of Greeks Relocating from US to Greece

    Directory of Open Access Journals (Sweden)

    Dimitris Milakis

    2017-09-01

    Full Text Available In this study, the possible causal links between the built environment, travel attitudes and travel behaviour of people that have moved between totally different urban and transportation contexts were investigated. A quasi-longitudinal design was developed to collect data about the perceived neighbourhood characteristics, neighbourhood preferences, travel attitudes and changes in car, walking and bicycle usage of 51 Greeks who relocated from the US to Greece. Variable reduction techniques were applied prior to developing our models because of the small sample size. The results of this study offer support for a causal relationship between the built environment and travel behaviour identified in the existing literature. For instance, longer travel time to city center was associated with higher car use, higher density neighbourhoods and increased accessibility to local amenities were associated with increased bike use and better access to a district shopping center was associated with more walking after relocation. Our results also showed that in contexts like Greece, where transport infrastructures are not adequately developed, lack of safe bike conditions and easy access to public transportation are important determinants of bicycle use and walking. Thus, according to our results, promoting sustainable mobility in contexts like Greece would require not only enhancing accessibility through relocation of activities, but also by improving infrastructures for public transport, bicycle and walking.

  7. Spatial UTA (S-UTA) - a new approach for raster-based GIS multicriteria suitability analysis and its use in implementing natural systems for wastewater treatment.

    Science.gov (United States)

    Demesouka, O E; Vavatsikos, A P; Anagnostopoulos, K P

    2013-08-15

    The identification of sites for locating new natural systems for wastewater treatment (NSWT), such as stabilization ponds and constructed wetlands, should combine multiple crucial factors (environmental, design, social and economic), and thus the implementation of multicriteria decision-making (MCDM) methods is required. In addition, the spatial nature of the site selection process necessitates the use of geographic information systems (GISs) because they are unanimously recognized as the most appropriate tool capable of supporting sophisticated spatial decision making. The resulting multicriteria spatial decision support systems (MC-SDSSs) provide a consistent framework for dealing with conflicting objectives while integrating the decision makers' (DMs') preferences in spatially related patterns/problems. A map-based, interactive UTAII implementation is presented, which provides a link between a well-understood decision support method and exploratory geographic visualization. Spatial UTA (S-UTA) is applied in a real case study concerning the ranking of candidate sites for implementing natural systems for wastewater treatment in the Evros-Rodopi prefectures of northeastern Greece. Finally, the obtained results are compared with those derived using other MCDM approaches to evaluate the performance of S-UTA in GIS-based land use suitability analyses. Copyright © 2013 Elsevier Ltd. All rights reserved.

  8. Introducing short term flexibility in the EU ETS to assure its long-term credibility: a multi-criteria analysis of policy options. Climate Report no. 45

    International Nuclear Information System (INIS)

    Desai, Zuheir; Alberola, Emilie; Berghmans, Nicolas

    2014-07-01

    It is now well established that the European Union Emissions Trading Scheme (EU ETS) needs to be reformed. After more than 18 months of discussions, the EU Commission disclosed, in its communication published in January 2014 on 'A policy framework for climate and energy in the period from 2020 to 2030', its legislative proposal of a market stability reserve (MSR) in the EU ETS. This measure, that should be implemented from the next compliance period (2021-2028) onwards, would reduce the surplus of allowances growing since 2008 and improve the ETS's resilience to external shocks by automatically adjusting the supply of allowances to be auctioned. The operation of this MSR would be determined by predefined rules that, once agreed on, leave no discretion to either the Commission or Member States. The choice of the EU Commission to introduce a reserve in the EU ETS is very innovative even if other emissions trading schemes have already introduced a reserve in their design. Initial discussions began in March and April 2014 in the European Parliament and Council and the question of whether the MSR really improves the functioning of the EU ETS in the long term is still being debated. What other structural mechanism would be better suited in improving the long-term effectiveness of the EU ETS? To help in the decision making process, this report presents a multi-criteria analysis. Without prejudging their political support, five policy options have been evaluated that would introduce some flexibility in the EU ETS and potentially ensure its long-term credibility: an auction reserve price, permit supply rules that target a certain corridor of surplus (market stability reserve), permit supply rules that target economic activity, permit supply rules that target overlap with other energy policies and a rolling emissions cap. The assessment of these five policy options was based on a criteria tree and on the EU ETS experts' panel's votes that expressed

  9. Can multi-criteria analysis models support the site selection for a repository for heat-generating waste?; Koennen multikriterielle Analysemodelle die Standortauswahl fuer ein Endlager fuer Waerme entwickelnde Abfaelle unterstuetzen?

    Energy Technology Data Exchange (ETDEWEB)

    Gutberlet, Daniela [DMT GmbH und Co.KG, Essen (Germany). Geschaeftsentwicklung Nukleare Entsorgung

    2015-07-01

    The decision for or against a potential site for a nuclear waste repository is highly complex and requires decision-makers to consider multiple assessment criteria. The complexity of each site and its characteristics, and the differing opinions among members of the public and advocacy groups mean t hat conflicts of interest are likely to arise. In this paper, the author suggests that multi-criteria analysis models could be used to provide methodological support during the selection process. The models can map these types of decision situations and suggest coherent solutions with relatively little formal effort. They allow users to compare different opt ions simultaneously and ensure that t heir decision-making Is conscious rather than arbitrary.

  10. Development of multicriteria models to classify energy efficiency alternatives

    International Nuclear Information System (INIS)

    Neves, Luis Pires; Antunes, Carlos Henggeler; Dias, Luis Candido; Martins, Antonio Gomes

    2005-01-01

    This paper aims at describing a novel constructive approach to develop decision support models to classify energy efficiency initiatives, including traditional Demand-Side Management and Market Transformation initiatives, overcoming the limitations and drawbacks of Cost-Benefit Analysis. A multicriteria approach based on the ELECTRE-TRI method is used, focusing on four perspectives: - an independent Agency with the aim of promoting energy efficiency; - Distribution-only utilities under a regulated framework; - the Regulator; - Supply companies in a competitive liberalized market. These perspectives were chosen after a system analysis of the decision situation regarding the implementation of energy efficiency initiatives, looking for the main roles and power relations, with the purpose of structuring the decision problem by identifying the actors, the decision makers, the decision paradigm, and the relevant criteria. The multicriteria models developed allow considering different kinds of impacts, but avoiding difficult measurements and unit conversions due to the nature of the multicriteria method chosen. The decision is then based on all the significant effects of the initiative, both positive and negative ones, including ancillary effects often forgotten in cost-benefit analysis. The ELECTRE-TRI, as most multicriteria methods, provides to the Decision Maker the ability of controlling the relevance each impact can have on the final decision. The decision support process encompasses a robustness analysis, which, together with a good documentation of the parameters supplied into the model, should support sound decisions. The models were tested with a set of real-world initiatives and compared with possible decisions based on Cost-Benefit analysis

  11. Fuel pellet fracture and relocation

    International Nuclear Information System (INIS)

    Walton, L.A.; Husser, D.L.

    1983-01-01

    The model used to describe fuel pellet fracture and relocation is an important feature of a fuel performance computer code. This model becomes especially important if the computer code is principally to be used for the evaluation of pellet clad interaction. The fracture and relocation model being developed for the B and W fuel performance code FUMAC was derived from an extensive data base. Cross sections of irradiated fuel rods were photographically magnified and measured to determine the configuration of the fragments of the fractured fuel pellets. Data, representing a wide range of LWR fuel designs and as-manufactured mechanical configurations, were catalogued and systematically reduced and then correlated as a function of the likely independent variables. These correlations define the key phenomenological behavior patterns which the relocation model must duplicate and indicate which mechanistic approaches are viable explanations of this behavior. The data base covers the burnup range from approximately one to 35 GWd/mtU and linear heat rates from less than 100 to nearly 700 W/Cm. This paper presents the correlated data base and the methods used to derive and interpret it. It was determined from this data base that pellet cracking is initially both power level and burnup dependent but tends to saturate eventually with continued steady irradiation. Fuel pellet relocation was found to be much more extensive than would be deduced from thermal considerations alone. Even at very low burnups fuel fragments were found to move outward until restrained by the cladding. The results also suggest that changes in internal resistance to heat flow within the pellets due to the opening of cracks may be as important as peripheral gap changes to the thermal modeler. The transient response and thermal implications of this model are recommended as primary areas for future investigation

  12. Deriving consensus rankings via multicriteria decision making methodology

    OpenAIRE

    Amy Poh Ai Ling; Mohamad Nasir Saludin; Masao Mukaidono

    2012-01-01

    Purpose - This paper seeks to take a cautionary stance to the impact of the marketing mix on customer satisfaction, via a case study deriving consensus rankings for benchmarking on selected retail stores in Malaysia. Design/methodology/approach - The ELECTRE I model is used in deriving consensus rankings via multicriteria decision making method for benchmarking base on the marketing mix model 4P's. Descriptive analysis is used to analyze best practice among the four marketing tactics. Finding...

  13. Assessing Accessibility and Transport Infrastructure Inequities in Administrative Units in Serbia’s Danube Corridor Based on Multi-Criteria Analysis and Gis Mapping Tools

    Directory of Open Access Journals (Sweden)

    Ana VULEVIC

    2018-02-01

    Full Text Available The Danube Regions, especially the sub-national units of governance, must be ready to play an active role in spatial development policies. A precondition for this is good accessibility and the coordinated development of all transport systems in the Danube corridor. The main contribution of this paper is to provide a multi-criteria model for potential decision making related to the evaluation of transportation accessibility in Serbia’s Danube Corridor. Geographic Information Systems (GIS, based on maps, indicate the existing counties’ transport infrastructures inequities (between well-connected and isolated counties in terms of accessibility to central places. Through the research, relevant indicators have been identifi ed. This provides an outline of transportation perspectives regarding the development achieved and also fosters the increase of transportation accessibility in some peripheral Serbian Danube administrative units – counties (Nomenclature of Territorial Units for Statistics level 3 – NUTS 3.

  14. Cracking and relocation of UO2 fuel during nuclear operation

    International Nuclear Information System (INIS)

    Appelhans, A.D.; Dagbjartsson, S.J.

    1981-01-01

    Cracking and relocation of light water reactor (LWR) fuel pellets affect the axial gas flow path within nuclear reactor fuel rods and the thermal performance of the fuel. As part of the Nuclear Regulatory Commission's Water Reactor Safety Research Fuel Behavior Program, the Thermal Fuels Behavior Program of EG and G Idaho, Inc., is conducting fuel rod behavior studies in the Heavy Boiling Water Reactor in Halden, Norway. The Instrumental Fuel Assembly-430 (IFA-430) operated in that facility is a multipurpose assembly designed to provide information on fuel cracking and relocation, the long-term thermal response of LWR fuel rods subjected to various internal pressures and gas compositions, and the release of fission gases. This report presents the results of an analysis of fuel cracking and relocation phenomena as deduced from fuel rod axial gas flow and fuel temperature data from the first 6.5 GWd/tUO 2 burnup of the IFA-430

  15. Multicriteria Early Warning System of Enterprises against the Bankruptcy Risk

    Directory of Open Access Journals (Sweden)

    Tomasz Korol

    2010-12-01

    Full Text Available This article is devoted to the issue of forecasting the bankruptcy risk of the enterprises. In the article author compares the effectiveness of multicriteria early warning system with the traditional discriminant analysis model of forecasting the risks of bankruptcy of companies. In the conducted research author has used data on 185 companies listed on the Warsaw Stock Exchange Market. This population of firms was divided into learning and testing setdata. Each company has been analyzed using the absolute values of 14 financial ratios and the dynamics of change of these ratios. Additionally, author has used the macroeconomic variables in developed multicriteria system. The author’s developed models are characterized by high efficiency. These studies are the first attempt to use fuzzy logic to predict the bankruptcy of companies in Poland and one of the first in the world. Obtained results demonstrate the great potential of this method.  

  16. Multi-criteria and econometric evaluation of dairy products

    Directory of Open Access Journals (Sweden)

    Karmen Pažek

    2014-05-01

    Full Text Available This study examined the multi-criteria assessment of four dairy products: “Pomursko mlejko” (Pomurje milk, “Lejko mleko” (light milk, “Fyto mleko” (Fyto milk and “Posneto mleko v prahu” (dried milk. The research was executed by using a multi-criteria methodology, DEX, which was complemented by an econometric analysis for light milk to estimate the trends in production and consumption before analyzed dairy products were implemented on the market. DEXi computer program results indicated that all analyzed milk products were ‘above average’. The econometric model was applied to examine changes in the demand for low-fat milk (light milk. Empirical results showed significant consumer re¬sponse to the increase in the prices of low-fat milk demonstrating income elasticity (1,15 unit.

  17. Dry Port Location Problem: A Hybrid Multi-Criteria Approach

    Directory of Open Access Journals (Sweden)

    BENTALEB Fatimazahra

    2016-03-01

    Full Text Available Choosing a location for a dry port is a problem which becomes more essential and crucial. This study deals with the problem of locating dry ports. On this matter, a model combining multi-criteria (MACBETH and mono-criteria (BARYCENTER methods to find a solution to dry port location problem has been proposed. In the first phase, a systematic literature review was carried out on dry port location problem and then a methodological classification was presented for this research. In the second phase, a hybrid multi-criteria approach was developed in order to determine the best dry port location taking different criteria into account. A Computational practice and a qualitative analysis from a case study in the Moroccan context have been provided. The results show that the optimal location is very convenient with the geographical region and the government policies.

  18. A FUZZY MULTICRITERIA APPROACH FOR IT GOVERNANCE EVALUATION

    Directory of Open Access Journals (Sweden)

    Angel Cobo

    2014-10-01

    Full Text Available This work seeks to provide a new multi-criteria approach to assess IT Governance (ITG in the area of Strategic Alignment. The complete methodological development process is described. The evaluation model uses Fuzzy Analytic Hierarchy Process (FAHP and it is targeted to IT processes, more specifically to the COBIT© IT maturity levels, domains and processes, thus providing a differentiated analysis of importance for each item. Its relevance is related to addressing isolated and individual evaluation criteria that are normally practiced in audits of processes. The model allows generating information that extends the guarantees of compliance and corporate governance from different organizations. This research demonstrates that the combined use of multi-criteria decision methodologies and soft computing proves to be particularly suitable for Strategic Alignment such as the focal area of COBIT. The model was applied in a big retail Brazilian company.

  19. Multicriteria Optimisation in Logistics Forwarder Activities

    Directory of Open Access Journals (Sweden)

    Tanja Poletan Jugović

    2007-05-01

    Full Text Available Logistics forwarder, as organizer and planner of coordinationand integration of all the transport and logistics chains elements,uses adequate ways and methods in the process of planningand decision-making. One of these methods, analysed inthis paper, which could be used in optimisation of transportand logistics processes and activities of logistics forwarder, isthe multicriteria optimisation method. Using that method, inthis paper is suggested model of multicriteria optimisation of logisticsforwarder activities. The suggested model of optimisationis justified in keeping with method principles of multicriteriaoptimization, which is included in operation researchmethods and it represents the process of multicriteria optimizationof variants. Among many different processes of multicriteriaoptimization, PROMETHEE (Preference Ranking OrganizationMethod for Enrichment Evaluations and Promcalc& Gaia V. 3.2., computer program of multicriteria programming,which is based on the mentioned process, were used.

  20. Supplier selection problem: A fuzzy multicriteria approach

    African Journals Online (AJOL)

    kirstam

    simultaneously: maximising the total value of purchases, minimising ... Keywords: Supplier selection, multi-criteria decision-making, fuzzy logic, satisfaction ... includes both qualitative and quantitative factors, and it is necessary to make a.

  1. Multicriteria methodology for decision aiding

    CERN Document Server

    Roy, Bernard

    1996-01-01

    This is the first comprehensive book to present, in English, the multicriteria methodology for decision aiding In the foreword the distinctive features and main ideas of the European School of MCDA are outlined The twelve chapters are essentially expository in nature, but scholarly in treatment Some questions, which are too often neglected in the literature on decision theory, such as how is a decision made, who are the actors, what is a decision aiding model, how to define the set of alternatives, are discussed Examples are used throughout the book to illustrate the various concepts Ways to model the consequences of each alternative and building criteria taking into account the inevitable imprecisions, uncertainties and indeterminations are described and illustrated The three classical operational approaches of MCDA synthesis in one criterion (including MAUT), synthesis by outranking relations, interactive local judgements, are studied This methodology tries to be a theoretical or intellectual framework dire...

  2. Sistemática para avaliação multicriterial de investimentos no desenvolvimento de produtos A systematic analysis for multi-criteria evaluation of product development investments

    Directory of Open Access Journals (Sweden)

    Alejandro Germán Frank

    2011-01-01

    Full Text Available Este artigo apresenta uma sistemática para avaliação multicriterial de investimentos associados ao desenvolvimento de produtos. A sistemática proposta se apoia nos critérios-chave a serem considerados na tomada de decisão. Ela é baseada na utilização dos métodos de avaliação econômica de investimentos VPL e payback, assim como nas ferramentas de desenvolvimento de produtos, QFD (Quality Function Deployment e SWOT (Strenght-Weaknesses-Oportunities-Threats, utilizadas como suporte para a construção do método de avaliação multicriterial MAUT (Multiattribute Utility Theory. A sistemática proposta apresenta duas contribuições principais: i a análise integrada de três critérios-chave para a decisão de investimentos em novos produtos: rentabilidade (considerada na avaliação econômica, qualidade (considerada no QFD e estratégia (considerada no SWOT e ii uma modificação nas ponderações utilizadas na avaliação do MAUT, que reduz a subjetividade da atribuição de valores. A abordagem proposta foi avaliada em um caso aplicado e os resultados obtidos são discutidos.This paper presents a systematic analysis for multi-criteria evaluation of product development investments. The proposed systematic analysis is supported by key criteria to be considered during decision making. It is based on the use of traditional investment evaluation methods, such as NPV and payback, as well as in product development tools - QFD and SWOT. These tools are employed to assist the construction of the multi-criteria evaluation method, which follows the precepts of the Multi-attribute Utility Theory (MAUT. The proposed systematic analysis provides two main contributions: i it integrates three key criteria concerning new product investment decisions: profit (considered by the economic evaluation, quality (considered by QFD, and strategy (considered by SWOT; ii it includes a modification in the definition of the weights used by the MAUT evaluation

  3. An Exploratory Analysis for the Selection and Implementation of Advanced Manufacturing Technology by Fuzzy Multi-criteria Decision Making Methods: A Comparative Study

    Science.gov (United States)

    Nath, Surajit; Sarkar, Bijan

    2017-08-01

    Advanced Manufacturing Technologies (AMTs) offer opportunities for the manufacturing organizations to excel their competitiveness and in turn their effectiveness in manufacturing. Proper selection and evaluation of AMTs is the most significant task in today's modern world. But this involves a lot of uncertainty and vagueness as it requires many conflicting criteria to deal with. So the task of selection and evaluation of AMTs becomes very tedious for the evaluators as they are not able to provide crisp data for the criteria. Different Fuzzy Multi-criteria Decision Making (MCDM) methods help greatly in dealing with this problem. This paper focuses on the application of two very much potential Fuzzy MCDM methods namely COPRAS-G, EVAMIX and a comparative study between them on some rarely mentioned criteria. Each of the two methods is very powerful evaluation tool and has beauty in its own. Although, performance wise these two methods are almost at same level, but, the approach of each one of them are quite unique. This uniqueness is revealed by introducing a numerical example of selection of AMT.

  4. The effect of uncertainties in distance-based ranking methods for multi-criteria decision making

    Science.gov (United States)

    Jaini, Nor I.; Utyuzhnikov, Sergei V.

    2017-08-01

    Data in the multi-criteria decision making are often imprecise and changeable. Therefore, it is important to carry out sensitivity analysis test for the multi-criteria decision making problem. The paper aims to present a sensitivity analysis for some ranking techniques based on the distance measures in multi-criteria decision making. Two types of uncertainties are considered for the sensitivity analysis test. The first uncertainty is related to the input data, while the second uncertainty is towards the Decision Maker preferences (weights). The ranking techniques considered in this study are TOPSIS, the relative distance and trade-off ranking methods. TOPSIS and the relative distance method measure a distance from an alternative to the ideal and antiideal solutions. In turn, the trade-off ranking calculates a distance of an alternative to the extreme solutions and other alternatives. Several test cases are considered to study the performance of each ranking technique in both types of uncertainties.

  5. 76 FR 41555 - Tupelo, Mississippi Railroad Relocation Project

    Science.gov (United States)

    2011-07-14

    ... Relocation Project AGENCY: Federal Railroad Administration (FRA), U.S. Department of Transportation (DOT... Tupelo, Mississippi Railroad Relocation Project (Project). SUMMARY: The Federal Railroad Administration announces the availability of the Tupelo, Mississippi Railroad Relocation Project Draft Environmental Impact...

  6. Multi-criteria decision making to support waste management: A critical review of current practices and methods.

    Science.gov (United States)

    Goulart Coelho, Lineker M; Lange, Liséte C; Coelho, Hosmanny Mg

    2017-01-01

    Solid waste management is a complex domain involving the interaction of several dimensions; thus, its analysis and control impose continuous challenges for decision makers. In this context, multi-criteria decision-making models have become important and convenient supporting tools for solid waste management because they can handle problems involving multiple dimensions and conflicting criteria. However, the selection of the multi-criteria decision-making method is a hard task since there are several multi-criteria decision-making approaches, each one with a large number of variants whose applicability depends on information availability and the aim of the study. Therefore, to support researchers and decision makers, the objectives of this article are to present a literature review of multi-criteria decision-making applications used in solid waste management, offer a critical assessment of the current practices, and provide suggestions for future works. A brief review of fundamental concepts on this topic is first provided, followed by the analysis of 260 articles related to the application of multi-criteria decision making in solid waste management. These studies were investigated in terms of the methodology, including specific steps such as normalisation, weighting, and sensitivity analysis. In addition, information related to waste type, the study objective, and aspects considered was recorded. From the articles analysed it is noted that studies using multi-criteria decision making in solid waste management are predominantly addressed to problems related to municipal solid waste involving facility location or management strategy.

  7. Application of a GIS Multi-Criteria Decision Analysis for the Identification of Intrinsic Suitable Sites in Costa Rica for the Application of Managed Aquifer Recharge (MAR through Spreading Methods

    Directory of Open Access Journals (Sweden)

    José Pablo Bonilla Valverde

    2016-09-01

    Full Text Available Costa Rica’s annual mean precipitation is above 3300 mm, but this precipitation is not evenly distributed in time or space, producing clear differentiated wet and dry seasons in most of the country. Droughts are also common phenomena which greatly affect the availability of water resources. Managed aquifer recharge (MAR schemes are being taken into consideration to enhance the underground water storage capacity of the country. The present study constitutes the first assessment for the identification of suitable sites for the implementation of MAR technology spreading methods (SM in Costa Rica. The suitable sites are identified by means of a geographic information system multi-criteria decision analysis (GIS-MCDA based on four criteria: hydrogeological aptitude, terrain slope, top soil texture and drainage network density. Four steps are performed in order to identify these sites: problem definition, screening for suitable areas, suitability mapping, and sensitivity analysis. The suitability map was divided in two zones after the screening: suitable and unsuitable, the first zone was further divided in five classes according to the weighted linear combination (WLC ranking. The results indicate that 61% of the country is suitable for conducting SM. This map is a tool for future implementation of MAR techniques in the country.

  8. Composite decision support by combining cost-benefit and multi-criteria decision

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn; Salling, Kim Bang; Leleur, Steen

    2011-01-01

    This paper concerns composite decision support based on combining cost-benefit analysis (CBA) with multi-criteria decision analysis (MCDA) for the assessment of economic as well as strategic impacts within transport projects. Specifically a composite model for assessment (COSIMA) is presented...

  9. Ubiquitous Multicriteria Clinic Recommendation System.

    Science.gov (United States)

    Chen, Toly

    2016-05-01

    Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferences for different clinics and doctors. Therefore, to enable patients to compare multiple clinics, this study proposes a ubiquitous multicriteria clinic recommendation system. In this system, patients can send requests through their cell phones to the system server to obtain a clinic recommendation. Once the patient sends this information to the system, the system server first estimates the patient's speed according to the detection results of a global positioning system. It then applies a fuzzy integer nonlinear programming-ordered weighted average approach to assess four criteria and finally recommends a clinic with maximal utility to the patient. The proposed methodology was tested in a field experiment, and the experimental results showed that it is advantageous over two existing methods in elevating the utilities of recommendations. In addition, such an advantage was shown to be statistically significant.

  10. An Extended Step-Wise Weight Assessment Ratio Analysis with Symmetric Interval Type-2 Fuzzy Sets for Determining the Subjective Weights of Criteria in Multi-Criteria Decision-Making Problems

    Directory of Open Access Journals (Sweden)

    Mehdi Keshavarz-Ghorabaee

    2018-03-01

    Full Text Available Determination of subjective weights, which are based on the opinions and preferences of decision-makers, is one of the most important matters in the process of multi-criteria decision-making (MCDM. Step-wise Weight Assessment Ratio Analysis (SWARA is an efficient method for obtaining the subjective weights of criteria in the MCDM problems. On the other hand, decision-makers may express their opinions with a degree of uncertainty. Using the symmetric interval type-2 fuzzy sets enables us to not only capture the uncertainty of information flexibly but also to perform computations simply. In this paper, we propose an extended SWARA method with symmetric interval type-2 fuzzy sets to determine the weights of criteria based on the opinions of a group of decision-makers. The weights determined by the proposed approach involve the uncertainty of decision-makers’ preferences and the symmetric form of the weights makes them more interpretable. To show the procedure of the proposed approach, it is used to determine the importance of intellectual capital dimensions and components in a company. The results show that the proposed approach is efficient in determining the subjective weights of criteria and capturing the uncertainty of information.

  11. A quantitative benefit-risk assessment approach to improve decision making in drug development: Application of a multicriteria decision analysis model in the development of combination therapy for overactive bladder.

    Science.gov (United States)

    de Greef-van der Sandt, I; Newgreen, D; Schaddelee, M; Dorrepaal, C; Martina, R; Ridder, A; van Maanen, R

    2016-04-01

    A multicriteria decision analysis (MCDA) approach was developed and used to estimate the benefit-risk of solifenacin and mirabegron and their combination in the treatment of overactive bladder (OAB). The objectives were 1) to develop an MCDA tool to compare drug effects in OAB quantitatively, 2) to establish transparency in the evaluation of the benefit-risk profile of various dose combinations, and 3) to quantify the added value of combination use compared to monotherapies. The MCDA model was developed using efficacy, safety, and tolerability attributes and the results of a phase II factorial design combination study were evaluated. Combinations of solifenacin 5 mg and mirabegron 25 mg and mirabegron 50 (5+25 and 5+50) scored the highest clinical utility and supported combination therapy development of solifenacin and mirabegron for phase III clinical development at these dose regimens. This case study underlines the benefit of using a quantitative approach in clinical drug development programs. © 2015 The American Society for Clinical Pharmacology and Therapeutics.

  12. Clinical validity of a relocation stress scale for the families of patients transferred from intensive care units.

    Science.gov (United States)

    Oh, HyunSoo; Lee, Seul; Kim, JiSun; Lee, EunJu; Min, HyoNam; Cho, OkJa; Seo, WhaSook

    2015-07-01

    This study was conducted to develop a family relocation stress scale by modifying the Son's Relocation Stress Syndrome Scale, to examine its clinical validity and reliability and to confirm its suitability for measuring family relocation stress. The transfer of ICU patients to general wards is a significant anxiety-producing event for family members. However, no relocation stress scale has been developed specifically for families. A nonexperimental, correlation design was adopted. The study subjects were 95 family members of 95 ICU patients at a university hospital located in Incheon, South Korea. Face and construct validities of the devised family relocation stress scale were examined. Construct validity was examined using factor analysis and by using a nomological validity test. Reliability was also examined. Face and content validity of the scale were verified by confirming that its items adequately measured family relocation stress. Factor analysis yielded four components, and the total variance explained by these four components was 63·0%, which is acceptable. Nomological validity was well supported by significant relationships between relocation stress and degree of preparation for relocation, patient self-care ability, family burden and satisfaction with the relocation process. The devised scale was also found to have good reliability. The family relocation stress scale devised in this study was found to have good validity and reliability, and thus, is believed to offer a means of assessing family relocation stress. The findings of this study provide a reliable and valid assessment tool when nurses prepare families for patient transfer from an ICU to a ward setting, and may also provide useful information to those developing an intervention programme for family relocation stress management. © 2015 John Wiley & Sons Ltd.

  13. Merging building maintainability and sustainability assessment: A multicriteria decision making approach

    Science.gov (United States)

    Asmone, A. S.; Chew, M. Y. L.

    2018-02-01

    Accurately predicting maintainability has been a challenge due to the complex nature of buildings, yet it is an important research area with a rising necessity. This paper explores the use of multicriteria decision making approach for merging maintainability and sustainability elements into building grading systems to attain long-term sustainability in the building industry. The paper conducts a systematic literature review on multicriteria decision analysis approach and builds on the existing knowledge of maintainability to achieve this. A conceptual framework is developed to bridge the gap between building operations and maintenance with green facilities management by forecasting green maintainability at the design stage.

  14. Social multicriteria evaluation and its contribution to the conservation of forests

    International Nuclear Information System (INIS)

    Vargas lsaza, Olga Lucia

    2005-01-01

    The proposal of the ministry of environment, housing, and territorial development of Colombia on how forestry zoning plans (FZPs) should be conducted by the autonomous regional corporations is analyzed; from which it con be of firmed that with the directives of the FZPs, it is not possible to obtain a sustainable zoning of forests and thereby achieve their conservation. Social Multicriteria Evaluation (SME), a technique that combines institutional analysis and multicriteria evaluation, allows overcoming this paw, it us therefore recommended that SMEs be conducted instead of FZPs in areas requiring zoning

  15. A multicriteria decision making model for assessment and selection of an ERP in a logistics context

    Science.gov (United States)

    Pereira, Teresa; Ferreira, Fernanda A.

    2017-07-01

    The aim of this work is to apply a methodology of decision support based on a multicriteria decision analyses (MCDA) model that allows the assessment and selection of an Enterprise Resource Planning (ERP) in a Portuguese logistics company by Group Decision Maker (GDM). A Decision Support system (DSS) that implements a MCDA - Multicriteria Methodology for the Assessment and Selection of Information Systems / Information Technologies (MMASSI / IT) is used based on its features and facility to change and adapt the model to a given scope. Using this DSS it was obtained the information system that best suited to the decisional context, being this result evaluated through a sensitivity and robustness analysis.

  16. On the dynamic of franchise (re)location in the North-American sport leagues

    OpenAIRE

    Narme, Thibaut

    2013-01-01

    As the cost of tax-dollar paid stadia rises and the talks of relocations in the main North-American pro leagues increase, a multi-field analysis on the different mechanisms that decides team relocation seems necessary. This paper reviews the different mechanisms participating team location and finally offer a new angle of analysis on the actual equilibrium and demonstrates its dynamic nature.

  17. Lessons learnt for Public Policy Maker from Relocation of Tsunami Affected Villagers in Thailand

    Science.gov (United States)

    Kamthonkiat, Daroonwan; Thuy Vu, Tuong

    2013-04-01

    facilities such as water, electricity and dumping area were not enough supported in some donated areas. 3)A lot of fishermen had turned to wage-earners or unfamiliar jobs to earn for their living. Some were jobless more than a year after relocation because of less skill for other jobs, high competition for less vacancies and no capital to start their small business. 4)After a few years of relocation and adaptation in the donated houses, we found that old and young generation became a major residence while much of the working generation fishermen went back to their villages for their fishing career. Some of them leaved the right of living in the donated houses by renting out to non-tsunami impact people or leaving their houses abandoned. As a lesson learnt from the relocation of the tsunami impact villagers in Thailand during 2005 - 2010, we could summarize some critical concerns for government policy makers as listed; 1)The government may support the certificate of the ownership or title deed with some conditions to the villagers who occupied on their lands before the conservative zones were announced. They should have the right to stay further and do eco-friendly activities for earning their lives. The villagers have no right to transfer the title deed or certificate to the third parties. Only eco-friendly equipments are permitted for fishing in this area. 2)After relocation to the higher ground, basic facilities (such as water, electricity and dumping area) should be sufficiently furnished. 3)Not only skill practicing for career options should be supported, finding job vacancy should run in parallel to ensure that the tsunami impact villagers can afford their living. 4)For reducing the right transfer or leaving the donated houses abandoned, annual or continuous survey to these residences should be conducted by government sectors until 80% of them had settled on their careers and adaptations. Location analysis should be conducted before construction of houses for disaster

  18. Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

    Science.gov (United States)

    Landmesser, John Andrew

    2014-01-01

    Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

  19. Axiomatizations of Pareto Equilibria in Multicriteria Games

    NARCIS (Netherlands)

    Voorneveld, M.; Vermeulen, D.; Borm, P.E.M.

    1997-01-01

    We focus on axiomatizations of the Pareto equilibrium concept in multicriteria games based on consistency.Axiomatizations of the Nash equilibrium concept by Peleg and Tijs (1996) and Peleg, Potters, and Tijs (1996) have immediate generalizations.The axiomatization of Norde et al.(1996) cannot be

  20. Heatup of the TMI-2 lower head during core relocation

    International Nuclear Information System (INIS)

    Wang, S.K.; Sienicki, J.J.; Spencer, B.W.

    1989-01-01

    An analysis has been carried out to assess the potential of a melting attack upon the reactor vessel lower head and incore instrument nozzle penetration weldments during the TMI core relocation event at 224 minutes. Calculations were performed to determine the potential for molten corium to undergo breakup into droplets which freeze and form a debris bed versus impinging upon the lower head as one or more coherent streams. The effects of thermal-hydraulic interactions between corium streams and water inside the lower plenum, the effects of the core support assembly structure upon the corium, and the consequences of corium relocation by way of the core former region were examined. 19 refs., 24 figs

  1. Multicriteria optimization informed VMAT planning

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Huixiao; Craft, David L.; Gierga, David P., E-mail: dgierga@partners.org

    2014-04-01

    We developed a patient-specific volumetric-modulated arc therapy (VMAT) optimization procedure using dose-volume histogram (DVH) information from multicriteria optimization (MCO) of intensity-modulated radiotherapy (IMRT) plans. The study included 10 patients with prostate cancer undergoing standard fractionation treatment, 10 patients with prostate cancer undergoing hypofractionation treatment, and 5 patients with head/neck cancer. MCO-IMRT plans using 20 and 7 treatment fields were generated for each patient on the RayStation treatment planning system (clinical version 2.5, RaySearch Laboratories, Stockholm, Sweden). The resulting DVH of the 20-field MCO-IMRT plan for each patient was used as the reference DVH, and the extracted point values of the resulting DVH of the MCO-IMRT plan were used as objectives and constraints for VMAT optimization. Weights of objectives or constraints of VMAT optimization or both were further tuned to generate the best match with the reference DVH of the MCO-IMRT plan. The final optimal VMAT plan quality was evaluated by comparison with MCO-IMRT plans based on homogeneity index, conformity number of planning target volume, and organ at risk sparing. The influence of gantry spacing, arc number, and delivery time on VMAT plan quality for different tumor sites was also evaluated. The resulting VMAT plan quality essentially matched the 20-field MCO-IMRT plan but with a shorter delivery time and less monitor units. VMAT plan quality of head/neck cancer cases improved using dual arcs whereas prostate cases did not. VMAT plan quality was improved by fine gantry spacing of 2 for the head/neck cancer cases and the hypofractionation-treated prostate cancer cases but not for the standard fractionation–treated prostate cancer cases. MCO-informed VMAT optimization is a useful and valuable way to generate patient-specific optimal VMAT plans, though modification of the weights of objectives or constraints extracted from resulting DVH of MCO

  2. SANitation CHoice Involving Stakeholders : a participatory multi-criteria method for drainage and sanitation system selection in developing cities applied in Ho Chi Minh City, Vietnam

    NARCIS (Netherlands)

    Buuren, van J.C.L.

    2010-01-01

    Keywords: sanitation; drainage; planning; multi-criteria decision analysis; stakeholder dialogues, developing countries

    The poor living in slums and other unplanned urban areas in developing countries have no access to adequate drainage and sanitation provisions with grave consequences

  3. 75 FR 14442 - Federal Travel Regulation (FTR); Relocation Allowances-Relocation Income Tax Allowance (RITA) Tables

    Science.gov (United States)

    2010-03-25

    ... GENERAL SERVICES ADMINISTRATION [GSA Bulletin FTR 10-04] Federal Travel Regulation (FTR); Relocation Allowances-- Relocation Income Tax Allowance (RITA) Tables AGENCY: Office of Governmentwide Policy... (73 FR 35952) specifying that GSA would no longer publish the RITA tables found in 41 CFR Part 301-17...

  4. Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research [v1; ref status: indexed, http://f1000r.es/1fk

    Directory of Open Access Journals (Sweden)

    Nisa M Maruthur

    2013-07-01

    Full Text Available Background: Regulatory decision-making involves assessment of risks and benefits of medications at the time of approval or when relevant safety concerns arise with a medication. The Analytic Hierarchy Process (AHP facilitates decision-making in complex situations involving tradeoffs by considering risks and benefits of alternatives. The AHP allows a more structured method of synthesizing and understanding evidence in the context of importance assigned to outcomes. Our objective is to evaluate the use of an AHP in a simulated committee setting selecting oral medications for type 2 diabetes.  Methods: This study protocol describes the AHP in five sequential steps using a small group of diabetes experts representing various clinical disciplines. The first step will involve defining the goal of the decision and developing the AHP model. In the next step, we will collect information about how well alternatives are expected to fulfill the decision criteria. In the third step, we will compare the ability of the alternatives to fulfill the criteria and judge the importance of eight criteria relative to the decision goal of the optimal medication choice for type 2 diabetes. We will use pairwise comparisons to sequentially compare the pairs of alternative options regarding their ability to fulfill the criteria. In the fourth step, the scales created in the third step will be combined to create a summary score indicating how well the alternatives met the decision goal. The resulting scores will be expressed as percentages and will indicate the alternative medications' relative abilities to fulfill the decision goal. The fifth step will consist of sensitivity analyses to explore the effects of changing the estimates. We will also conduct a cognitive interview and process evaluation.  Discussion: Multi-criteria decision analysis using the AHP will aid, support and enhance the ability of decision makers to make evidence-based informed decisions consistent

  5. Multi-criteria sustainability assessment: A tool for evaluation of new energy system

    Directory of Open Access Journals (Sweden)

    Afgan Naim H.

    2007-01-01

    Full Text Available One of perspective methods for the evaluation of quality of energy system is the multi-criteria sustainability assessment, based on the analysis and synthesis of indicators expressing different aspects of the system. Application of this methodology in the cases of information deficiency (ASPID methodology enables evaluation of various energy systems. In the paper, the multi-criteria sustainability assessment of energy systems of various energy sources is used to evaluate the energy power system of Bosnia and Herzegovina. Eight different energy system options are taken into a consideration as the potential options for the capacity building within the energy power system of Bosnia and Herzegovina. It has included various renewable sources and fossil fuel clean technologies. Within the multi-criteria sustainability assessment method, sustainability indicators and weighting coefficients are defined and calculated, including: resource indicator, environment indicator, social indicator and economic indicator with respective weighting factors. The methodology includes the system of stochastic models of uncertainty in order to realize the assessment from various supporting systems, and to obtain respective normalization indexes by using non-numeric (ordinal, non-exact (interval, and non-complete information (NNN- information, for sources of various reliability and probability. By the analysis of multi-criteria sustainability assessment of selected options, the decision makers could be enabled to form opinion on quality of considered energy systems, and from the aspect of sustainability, make selection an optimum option of energy system. .

  6. Planejamento sistemático de layout com apoio de análise de decisão multicritério Systematic layout planning aided by multicriteria decision analysis

    Directory of Open Access Journals (Sweden)

    Guilherme L. Tortorella

    2008-12-01

    flexibility, when facing different market scenarios. In this paper we propose the use of multicriteria decision support tools in conjunction with SLP. The multicriteria analysis proposed is illustrated in a case study from the automotive industry. The company analyzed is expanding its physical area to house new machines and optimize material flows. Nine different macro-layout alternatives were generated and the best overall alternative was evaluated in relation to seven criteria using AHP (Analytic Hierarchy Process.

  7. Temperature Discontinuity Caused by Relocation of Meteorological Stations in Taiwan

    Directory of Open Access Journals (Sweden)

    Chih-wen Hung

    2009-01-01

    Full Text Available With global warming upon us, it has be come increasingly important to identify the extent of this warming trend and in doing so be able to rank mean temperature changes in particular seasons and years. This requires a need for homogeneous climate data, which do not reflect individual anomalies in instruments, station locations or local environments (urbanization. Ac curate homogeneous long-term meteorological data helps show how temperature variations have truly occurred in the climate. Many possible factors contribute to artificial abrupt changes or sharp discontinuities in long time series data, such as the impact of station relocation, changes in observational schedules and instrumentation. Homogeneity adjustments of in situ climate data are very important processes for preparing observational data to be used in further analysis and research. Users require a well-documented history of stations to make appropriate homogeneity adjustments because precise historical back ground records of stations can provide researchers with knowledge of when artificial discontinuity has occurred and its causes. With out such de tailed historical data for each meteorological station, abrupt changes are difficult to interpret. Unfortunately, no homogeneity adjustments for temperature records have been con ducted previously in Tai wan, and present available sources of the history of Taiwan's meteorological stations exhibit in consistencies. In this study, information pertaining to station history, especially relocation records, is pro vided. This information is essential for anal y sis of continuous time series data for temperature and climate warming studies. Temperature data from several stations is given in this study to show how artificial discontinuity occurs due to station relocation. Al though there is no homogeneous adjusted climate data provided in this preliminary work, the summarizing of information regarding station relocations should be of assistance

  8. Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method

    Directory of Open Access Journals (Sweden)

    Rasim M. Alguliyev

    2015-01-01

    Full Text Available Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method.

  9. 78 FR 2319 - Relocation of Regulations

    Science.gov (United States)

    2013-01-11

    ...) operations; and Bank assistance for the Resolution Funding Corporation (RefCorp). This final rule relocates... Board Part 996/FHFA Part 1271--Subpart E (Authority for Bank Assistance of the Resolution Funding... National Mortgage Association and any affiliate thereof, and any Federal Home Loan Bank. Resolution Funding...

  10. 20 CFR 627.215 - Relocation.

    Science.gov (United States)

    2010-04-01

    ... the original location. (b) For 120 days after the commencement or the expansion of commercial... original location. (c) For the purposes of this section, relocating establishment means a business entity... review should include names under which the establishment does business, including successors-in-interest...

  11. Job Relocation is High in Chemical Industry.

    Science.gov (United States)

    Chemical and Engineering News, 1979

    1979-01-01

    The chances of an employee being relocated are higher in the chemical and plastics industries than in U.S. business as a whole. But the benefits provided by chemical and plastics companies to employees shifted to other locations are generally better than average. (Author/BB)

  12. Multi-criteria approval for evaluating landscape management strategies (Case study: Fruška Gora National Park

    Directory of Open Access Journals (Sweden)

    Lakićević Milena D.

    2015-01-01

    Full Text Available This paper deals with the problem of multi-criteria evaluation of four management strategies for Fruška Gora National Park. The criteria set was defined in ac­cordance with the IUCN guidelines for management of national parks. Four strategies were evaluated by testing preference intensities for each alternative with the respect to each cri­terion. Alternatives with preference above the approval threshold were approved, and a multi-criteria approval matrix was generated. According to the matrix, the most suitable management strategy was identified. It implies an intense protection of natural resources and landscape diversity in the national park by applying bio-engineering measures. This illustrative example proved that multi-criteria approval can be considered as a good deci­sion support tool when there is no need for a deeper insight into cardinal values of criteria weights and alternatives, or if the decision maker has to select few from many of alterna­tives to reduce the decision problem. For a more precise analysis, it is recommended to combine multi-criteria approval with other decision support tools, and future studies might deal with this problem in order to define an alternative framework for decision making in landscape management. [Projekat Ministarstva nauke Republike Srbije, br. 174003: Theory and application of analytic hierarchy process (AHP in multi-criteria decision making under conditions of risk and uncer­tainty (individual and group context

  13. Risk assessment of transitional economies by multivariate and multicriteria approaches

    Directory of Open Access Journals (Sweden)

    Tomić-Plazibat Neli

    2010-01-01

    Full Text Available This article assesses country-risk of sixteen Central, Baltic and South-East European transition countries, for 2005 and 2007, using multivariate cluster analysis. It was aided by the appropriate ANOVA (analysis of variance testing and the multicriteria PROMETHEE method. The combination of methods makes for more accurate and efficient country-risk assessment. Country risk classifications and ratings involve evaluating the performance of countries while considering their economic and socio-political characteristics. The purpose of the article is to classify, and then find the comparative position of each individual country in the group of analyzed countries, in order to find out to which extent development of market economy and democratic society has been achieved.

  14. Social Relationships, Psychosocial Adaptation, and Intrainstitutional Relocation of Elderly Men.

    Science.gov (United States)

    Tesch, Stephanie A.; And Others

    1989-01-01

    Studied intrainstitutional relocation of 40 men aged 53 to 91 and its effects on social integration, and behavioral and self-reported measures of psychosocial adaptation. Found in both longitudinal and time-lag analyses of pre- and post-relocation data, relocated men had lower scores on attitude toward aging dimension, fewer friends, and evidenced…

  15. Multicriteria analysis of protection actions in the case of transportation of radioactive materials: Regulating the transit of type A packages through the Mont Blanc Tunnel

    International Nuclear Information System (INIS)

    Hubert, P.; Lombard, J.; Pages, P.

    1986-09-01

    The utility function approach (decision analysis) is one of the classical decision aiding techniques that are of interest when performing ALARA analysis. In this paper a case study will serve as an illustration of this technique. The problem which is dealt with is the set up of a regulation applying to the transit of small radioactive material packages (type A) under the Mont Blanc Tunnel which is a major route between France and Italy. This case study is therefore a good example of an ALARA approach applied to a safety problem which implies both a probabilistic risk assessment and the evaluation of very heterogeneous criteria

  16. Deterministic algorithms for multi-criteria Max-TSP

    NARCIS (Netherlands)

    Manthey, Bodo

    2012-01-01

    We present deterministic approximation algorithms for the multi-criteria maximum traveling salesman problem (Max-TSP). Our algorithms are faster and simpler than the existing randomized algorithms. We devise algorithms for the symmetric and asymmetric multi-criteria Max-TSP that achieve ratios of

  17. Ranking of lignocellulosic biomass pellets through multicriteria modeling

    Energy Technology Data Exchange (ETDEWEB)

    Sultana, A.; Kumar, A. [Alberta Univ., Edmonton, AB (Canada). Dept. of Mechanical Engineering

    2009-07-01

    A study was conducted in which pellets from different lignocellulosic biomass sources were ranked using a multicriteria assessment model. Five different pellet alternatives were compared based on 10 criteria. The pair-wise comparison was done in order to develop preference indices for various alternatives. The methodology used in this study was the Preference Ranking Organization Method for Enrichment and Evaluation (PROMETHEE). The biomass included wood pellets, straw pellets, switchgrass pellets, alfalfa pellets and poultry pellets. The study considered both quantitative and qualitative criteria such as energy consumption to produce the pellets, production cost, bulk density, NOx emissions, SOx emissions, deposit formation, net calorific value, moisture content, maturity of technology, and quality of material. A sensitivity analysis was performed by changing weights of criteria and threshold values of the criteria. Different scenarios were developed for ranking cost and environmental impacts. According to preliminary results, the wood pellet is the best energy source, followed by switchgrass pellets, straw pellets, alfalfa pellets and poultry pellets.

  18. Fuzzy portfolio optimization advances in hybrid multi-criteria methodologies

    CERN Document Server

    Gupta, Pankaj; Inuiguchi, Masahiro; Chandra, Suresh

    2014-01-01

    This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuin...

  19. Multi-criteria evaluation and priority analysis for localization equipment in a thermal power plant using the AHP (analytic hierarchy process)

    International Nuclear Information System (INIS)

    Yagmur, Levent

    2016-01-01

    Ensuring the safety of its energy supply is one of the main issues for newly industrialized/developing countries when utilizing domestic sources for electricity generation. Turkey depends heavily on imported gas to generate electricity, and the ratio of natural gas power generation to total electricity production is nearly 50%. Coal-fired thermal power plants using domestic resources are considered a good option to decrease the large amount of imported natural gas, and to supply a secure energy demand. However, electricity generation from coal-fired power plants using local lignite reserves is not adequate to maintain a secure energy mix and provide sustainable development, as Turkey does not have indigenous energy sector technology. Therefore, technology transfer and its localization are crucial for newly industrialized/developing countries such as Turkey. The aim of this study is to use the analytic hierarchy process to determine a priority analysis in relation to localization equipment for a thermal power plant. Parameters involved, such as readiness of both infrastructure and human resources, manpower as skilled labor, market potential for equipment developed by transferred technology, and competition in global/internal market, are related to localization in thermal power plant technologies, and are considered in relation to the country's technological capability, design ability, possession of materials/equipment, and ability to erect a plant. Results of analysis show that the boiler is the most important piece of equipment in this respect, and that heaters and fans are ranked after the boiler with respect to local conditions. - Highlights: • Localization of foreign technology was determined for developing countries. • An evaluation and priority analysis were performed for parts of a thermal power plant. • Analytic hierarchy process was applied for the hierarchical ordering of parts when transferring technology.

  20. Comparative study of human mitochondrial proteome reveals extensive protein subcellular relocalization after gene duplications

    Directory of Open Access Journals (Sweden)

    Huang Yong

    2009-11-01

    Full Text Available Abstract Background Gene and genome duplication is the principle creative force in evolution. Recently, protein subcellular relocalization, or neolocalization was proposed as one of the mechanisms responsible for the retention of duplicated genes. This hypothesis received support from the analysis of yeast genomes, but has not been tested thoroughly on animal genomes. In order to evaluate the importance of subcellular relocalizations for retention of duplicated genes in animal genomes, we systematically analyzed nuclear encoded mitochondrial proteins in the human genome by reconstructing phylogenies of mitochondrial multigene families. Results The 456 human mitochondrial proteins selected for this study were clustered into 305 gene families including 92 multigene families. Among the multigene families, 59 (64% consisted of both mitochondrial and cytosolic (non-mitochondrial proteins (mt-cy families while the remaining 33 (36% were composed of mitochondrial proteins (mt-mt families. Phylogenetic analyses of mt-cy families revealed three different scenarios of their neolocalization following gene duplication: 1 relocalization from mitochondria to cytosol, 2 from cytosol to mitochondria and 3 multiple subcellular relocalizations. The neolocalizations were most commonly enabled by the gain or loss of N-terminal mitochondrial targeting signals. The majority of detected subcellular relocalization events occurred early in animal evolution, preceding the evolution of tetrapods. Mt-mt protein families showed a somewhat different pattern, where gene duplication occurred more evenly in time. However, for both types of protein families, most duplication events appear to roughly coincide with two rounds of genome duplications early in vertebrate evolution. Finally, we evaluated the effects of inaccurate and incomplete annotation of mitochondrial proteins and found that our conclusion of the importance of subcellular relocalization after gene duplication on

  1. A Multi-Criteria Analysis for the Evaluation of Social Housing Proposals: from the Analytic Hierarchy Process (AHP to the Analytic Network Process (ANP

    Directory of Open Access Journals (Sweden)

    Barbara Ferri

    2017-02-01

    Full Text Available Social housing requires appropriate evaluation models of projects, considering them from multiple perspectives: architectural, technical, environmental, economic, financial, paying particular attention to social aspects. The study proposes the use of a multi criteria evaluation model, based on the hierarchical (AHP and network (ANP analysis, as support in decision-making to guide practitioners and policy on the choice among alternative interventions. These methods allow to consider the overall effect of projects on urban system and the different points of view of those concerned, in an integrated and participatory approach. Interesting research perspectives concern the application of these evaluation approaches to case studies related to neighborhoods in which urban planning provides for social housing. The analysis will address the recent proposals for social housing in the city of Pescara (Italy, and in particular the urban transformation that is expected to achieve by means of the Integrated Urban Development Programme on the south-west of the city, whose regeneration was started by the Community Programme Urban 2.   Un’Analisi Multi Criteri per la Valutazione delle Proposte di Housing Sociale: dall’Analytic Hierarchy Process (AHP all’Analytic Network Process (ANP I modelli insediativi di social housing richiedono idonei strumenti valutativi degli interventi immobiliari, considerandoli da molteplici punti di vista: architettonici, urbanistici, ambientali, economici, finanziari, con particolare attenzione agli aspetti sociali. Lo studio propone l’impiego di un modello valutativo multicriteri basato sull’analisi gerarchica (AHP e a rete (ANP, come supporto ai processi decisionali riguardanti la scelta tra interventi alternativi di edilizia residenziale sociale, considerando il loro effetto complessivo sul sistema urbano secondo un approccio integrato e partecipativo. Parole Chiave: analisi multicriteri, edilizia residenziale sociale

  2. Análisis del paisaje para la evaluación ecológica rápida de alternativas de relocalización de una ciudad devastada Landscape analysis for rapid ecological assessment of relocation alternatives for a devastated city

    Directory of Open Access Journals (Sweden)

    FRANCISCO DE LA BARRERA

    2011-06-01

    ón a nivel de especies, (2 ser fácilmente replicable, dado que las categorías utilizadas (tipos de ecosistemas son estandarizables y las instituciones públicas tienen facilidades para acceder a imágenes satelitales y, finalmente, (3 permitir la incorporación de criterios ecológicos en fases tempranas de la toma de decisiones en el ámbito del ordenamiento territorial y de la planificación urbana.After the eruption of the Chaitén Volcano (Chile and the destruction of the neighboring Chaitén city, some alternative sites were evaluated for the relocation of administrative facilities and housing for the displaced. Three towns (Fandango, Santa Bárbara and Bahía Pumalín were evaluated by means of a multi-criteria analysis, including the impact that a new urban development would have on local biodiversity. This impact was evaluated through a landscape analysis. The landscape attributes studied were (1 composition and representation of each ecosystem type, (2 connectivity, and (3 environmental value, based on a classification of the prevailing ecosystems and their respective stages of succession, defined as a function of ecosystem heterogeneity and maturity. Landscape metrics were calculated from LANDSAT 5 satellite imagery (November 17th, 2008 with ArcView® 3.2 (ESRI and Fragstats, including the surface cover of each ecosystem type, the number of patches and the cohesion index (CI. Environmental value was determined qualitatively in situ. Santa Barbara was selected by authorities as the best place for New Chaitén City. Over 70 % of this is area is covered by forest, achieving a high degree of forest connectivity (CI > 99.0 and shrubs (CI > 94.0, with an advanced stage of succession, a high level of heterogeneity (species and strata and a high level of inland environmental value. On the coast, Santa Bárbara has anthropic influence, but maintains an advanced state of succession, a high level of heterogeneity, and a medium-high degree of environmental value

  3. Participatory Multi-Criteria Assessment of Forest Planning Policies in Conflicting Situations: The Case of Tenerife

    Directory of Open Access Journals (Sweden)

    Montserrat Acosta

    2015-11-01

    Full Text Available Sustainable forest planning should involve the participation of stakeholder communities in the decision-making process. This participation can help avoid the possible rejection of new planning measures. In this paper, the decision-making process to implement regulations on the use of forest tracks on the island of Tenerife (Canary Islands, Spain is analyzed. In recent years, the number of people using the island’s forest environments has notably increased, leading to conflicts between different users of the tracks; as a result, the Island Council of Tenerife is working on regulating these pathways. This paper describes the framing analysis, design, and implementation of a participatory multi-criteria approach to explore, together with stakeholders, the best policy alternatives related to forest planning and management issues of forest track use. To do this, a set of tools has been developed, consisting of institutional analysis, participatory methods, and multi-criteria assessment techniques.

  4. GIS-based suitability modeling and multi-criteria decision analysis for utility scale solar plants in four states in the Southeast U.S

    Science.gov (United States)

    Tisza, Kata

    Photovoltaic (PV) development shows significantly smaller growth in the Southeast U.S., than in the Southwest; which is mainly due to the low cost of fossil-fuel based energy production in the region and the lack of solar incentives. However, the Southeast has appropriate insolation conditions (4.0-6.0 KWh/m2/day) for photovoltaic deployment and in the past decade the region has experienced the highest population growth for the entire country. These factors, combined with new renewable energy portfolio policies, could create an opportunity for PV to provide some of the energy that will be required to sustain this growth. The goal of the study was to investigate the potential for PV generation in the Southeast region by identifying suitable areas for a utility-scale solar power plant deployment. Four states with currently low solar penetration were studied: Georgia, North Carolina, South Carolina and Tennessee. Feasible areas were assessed with Geographic Information Systems (GIS) software using solar, land use and population growth criteria combined with proximity to transmission lines and roads. After the GIS-based assessment of the areas, technological potential was calculated for each state. Multi-decision analysis model (MCDA) was used to simulate the decision making method for a strategic PV installation. The model accounted for all criteria necessary to consider in case of a PV development and also included economic and policy criteria, which is thought to be a strong influence on the PV market. Three different scenarios were established, representing decision makers' theoretical preferences. Map layers created in the first part were used as basis for the MCDA and additional technical, economic and political/market criteria were added. A sensitivity analysis was conducted to test the model's robustness. Finally, weighted criteria were assigned to the GIS map layers, so that the different preference systems could be visualized. As a result, lands suitable for

  5. MULTI-CRITERIA PROGRAMMING METHODS AND PRODUCTION PLAN OPTIMIZATION PROBLEM SOLVING IN METAL INDUSTRY

    OpenAIRE

    Tunjo Perić; Željko Mandić

    2017-01-01

    This paper presents the production plan optimization in the metal industry considered as a multi-criteria programming problem. We first provided the definition of the multi-criteria programming problem and classification of the multicriteria programming methods. Then we applied two multi-criteria programming methods (the STEM method and the PROMETHEE method) in solving a problem of multi-criteria optimization production plan in a company from the metal industry. The obtained resul...

  6. Multicriteria optimization of the spatial dose distribution

    International Nuclear Information System (INIS)

    Schlaefer, Alexander; Viulet, Tiberiu; Muacevic, Alexander; Fürweger, Christoph

    2013-01-01

    Purpose: Treatment planning for radiation therapy involves trade-offs with respect to different clinical goals. Typically, the dose distribution is evaluated based on few statistics and dose–volume histograms. Particularly for stereotactic treatments, the spatial dose distribution represents further criteria, e.g., when considering the gradient between subregions of volumes of interest. The authors have studied how to consider the spatial dose distribution using a multicriteria optimization approach.Methods: The authors have extended a stepwise multicriteria optimization approach to include criteria with respect to the local dose distribution. Based on a three-dimensional visualization of the dose the authors use a software tool allowing interaction with the dose distribution to map objectives with respect to its shape to a constrained optimization problem. Similarly, conflicting criteria are highlighted and the planner decides if and where to relax the shape of the dose distribution.Results: To demonstrate the potential of spatial multicriteria optimization, the tool was applied to a prostate and meningioma case. For the prostate case, local sparing of the rectal wall and shaping of a boost volume are achieved through local relaxations and while maintaining the remaining dose distribution. For the meningioma, target coverage is improved by compromising low dose conformality toward noncritical structures. A comparison of dose–volume histograms illustrates the importance of spatial information for achieving the trade-offs.Conclusions: The results show that it is possible to consider the location of conflicting criteria during treatment planning. Particularly, it is possible to conserve already achieved goals with respect to the dose distribution, to visualize potential trade-offs, and to relax constraints locally. Hence, the proposed approach facilitates a systematic exploration of the optimal shape of the dose distribution

  7. Relocating a Company within the EU

    DEFF Research Database (Denmark)

    Werlauff, Erik

    2008-01-01

    This article analyses how a public or private limited company can be relocated in another EU country via establishment of a subsidiary in the second country, followed by a reverse vertical merger (the parent ceases to exist and the subsidiary is the continuing company). The consideration for the ...... for the merger is shares in the subsidiary, which can be effected by giving the parent company's shares in the subsidiary to the parent company's shareholders, but after the shares have taken a brief respite in the subsidiary as own shares......This article analyses how a public or private limited company can be relocated in another EU country via establishment of a subsidiary in the second country, followed by a reverse vertical merger (the parent ceases to exist and the subsidiary is the continuing company). The consideration...

  8. The Future of Earthquake Relocation Tools

    Science.gov (United States)

    Lecocq, T.; Caudron, C.

    2010-12-01

    Many scientists around the world use earthquake relocation software for their research. Some use "known" software like HYPODD or COMPLOC, while others use their own algorithms and codes. Often, beginners struggle to get one tool running or to properly configure input parameters. This Poster will be witness of debates that will take place during the Meeting, for example adressing questions like "Which program for which application?" ; "Standardized In/Outs?" , "Tectonic / Volcanic / Other ?" ; "All programs inside one single Super-Package?" ; "Common/Base Bibliography for the Relocation-Beginner?" ; "Continuous or Layered Velocity Model?" etc... We will also present the scheme of a Super-Package we are working on, grouping HYPODD [Waldhauser 2001], COMPLOC [Lin&Shearer 2006], LOTOS [Koulakov 2009] ; allowing standard in/outs for the 3 programs, and thus, the comparison of their outputs.

  9. Environmental quality and sustainability in the province of Reggio Emilia (Italy): using multi-criteria analysis to assess and compare municipal performance.

    Science.gov (United States)

    Ferrarini, A; Bodini, A; Becchi, M

    2001-10-01

    Sustainability has become an increasingly significant issue, although practical implementation remains difficult. In Italy, promoting sustainability is particularly problematic at the provincial and municipal level, where the lack of resources and expertise, and the effects of uncoordinated policies make it difficult to achieve minimum requirements to make sustainable policies operational. One essential requirement is knowledge of baseline environmental conditions in each municipality. In the province of Reggio Emilia (Northern Italy) Legambiente, an environmental association, launched an initiative called 'Ecopaese' aimed at gathering data on environmental conditions and stimulating local administrations to implement sustainable policies. To this end, the state of the environment in the 45 municipalities within the province has been monitored using 25 indicators. Their values have been used to rank the municipalities by multiple criteria analysis (MCA). The results of this comparative approach provide information about the level of sustainability attained in the province as a whole as well as in the single municipalities. It is hoped that it will provide the basis for direct action plans at the provincial level by identifying areas for remedial action, as recommended by Agenda 21, the declaration adopted by many countries attending the Rio Summit in 1992.

  10. A multi-criteria decision approach to sorting actions for promoting energy efficiency

    International Nuclear Information System (INIS)

    Pires Neves, Luis; Gomes Martins, Antonio; Henggeler Antunes, Carlos; Candido Dias, Luis

    2008-01-01

    This paper proposes a multi-criteria decision approach for sorting energy-efficiency initiatives, promoted by electric utilities, with or without public funds authorized by a regulator, or promoted by an independent energy agency, overcoming the limitations and drawbacks of cost-benefit analysis. The proposed approach is based on the ELECTRE-TRI multi-criteria method and allows the consideration of different kinds of impacts, although avoiding difficult measurements and unit conversions. The decision is based on all the significant effects of the initiative, both positive and negative, including ancillary effects often forgotten in cost-benefit analysis. The ELECTRE-TRI, as most multi-criteria methods, provides to the decision maker the ability of controlling the relevance each impact can have on the final decision in a transparent way. The decision support process encompasses a robustness analysis, which, together with a good documentation of the parameters supplied into the model, should support sound decisions. The models were tested with a set of real-world initiatives and compared with possible decisions based on cost-benefit analysis

  11. Crisis Relocation Workshops for Transportation Industry Representatives

    Science.gov (United States)

    1979-12-01

    executive, two National Guard members, one Air Force transporta- _a ,tion representative, two Red Cross representatives, one school bus z coordinators...manaaers, local transitCD operator, and miiltary busingA authorityA Local Governa-ient 2 Fire chief, assistantI Air Force 3 Liaison Support D CPA :z...to attend the workshop. Majur trans- portation problems anticipated during crisis relocation include: 1. Transportation of carless residents; 2. The

  12. RelocaTE2: a high resolution transposable element insertion site mapping tool for population resequencing

    Directory of Open Access Journals (Sweden)

    Jinfeng Chen

    2017-01-01

    Full Text Available Background Transposable element (TE polymorphisms are important components of population genetic variation. The functional impacts of TEs in gene regulation and generating genetic diversity have been observed in multiple species, but the frequency and magnitude of TE variation is under appreciated. Inexpensive and deep sequencing technology has made it affordable to apply population genetic methods to whole genomes with methods that identify single nucleotide and insertion/deletion polymorphisms. However, identifying TE polymorphisms, particularly transposition events or non-reference insertion sites can be challenging due to the repetitive nature of these sequences, which hamper both the sensitivity and specificity of analysis tools. Methods We have developed the tool RelocaTE2 for identification of TE insertion sites at high sensitivity and specificity. RelocaTE2 searches for known TE sequences in whole genome sequencing reads from second generation sequencing platforms such as Illumina. These sequence reads are used as seeds to pinpoint chromosome locations where TEs have transposed. RelocaTE2 detects target site duplication (TSD of TE insertions allowing it to report TE polymorphism loci with single base pair precision. Results and Discussion The performance of RelocaTE2 is evaluated using both simulated and real sequence data. RelocaTE2 demonstrate high level of sensitivity and specificity, particularly when the sequence coverage is not shallow. In comparison to other tools tested, RelocaTE2 achieves the best balance between sensitivity and specificity. In particular, RelocaTE2 performs best in prediction of TSDs for TE insertions. Even in highly repetitive regions, such as those tested on rice chromosome 4, RelocaTE2 is able to report up to 95% of simulated TE insertions with less than 0.1% false positive rate using 10-fold genome coverage resequencing data. RelocaTE2 provides a robust solution to identify TE insertion sites and can be

  13. Assessment of groundwater potential of the crystalline basement of Wadi-Fira (Eastern Chad) using a multi-criteria correlation analysis and Remote Sensing data

    Science.gov (United States)

    Brahim Mahamat, Hamza; Coz Mathieu, Le; Abderamane, Hamit; Razack, Moumtaz

    2017-04-01

    Access to water in the Wadi-Fira aquifer system is a crucial problem in Eastern Chad because of (i) the complexity of the hydrogeological context (fractured basement), (ii) large extent of the study area (50,000 km2); And (iii) hard-to-access field data (only 34 water points were available to determine physicochemical and hydrodynamic parameters) often associated with high uncertainty. This groundwater resource is paramount in this arid environment, to meet the water needs of an increasingly growing population (refugees from Darfur) with a predominant pastoral activity. In order to optimally exploit the available data, correlative analyzes are carried out by integrating the spatial dimension of the data with GIS tools. A three-step strategy is thus implemented, based on: (i) point field data with physicochemical and hydrodynamic parameters; (ii) maps interpolated from point data, to increase the number of ''comparable'' parameters for each site; and (iii) interpolated maps coupled to maps from Remote Sensing results describing the area's structural geomorphology (slopes, hydrographic network, faults). The first results show marked correlations between physico-chemical and hydrodynamical parameters. According to the correlation matrix, the static level correlates significantly with the dominant cations (Ca2+ ; R = 0.52) and anions (HCO3- ; R = 0.53). Correlations are lower between electrical conductivity and transmissivity, and electrical conductivity and measured static level. A negative correlation is observed between Fluorine and transmissivity (r = -0.65), and the altered horizon (r = -0.5). The most significant discharges are obtained in fissured horizons. The correlative analysis allowsto differentiate mapped sectors according to the productivity and chemical quality regarding groundwater resource. Keywords: Hydrodynamics, Hydrochemistry, Remote Sensing, SRTM, Basement aquifer, Alteration, Lineaments, Wadi-Fira, Tchad.

  14. Multi-Criteria Approach in Multifunctional Building Design Process

    Science.gov (United States)

    Gerigk, Mateusz

    2017-10-01

    The paper presents new approach in multifunctional building design process. Publication defines problems related to the design of complex multifunctional buildings. Currently, contemporary urban areas are characterized by very intensive use of space. Today, buildings are being built bigger and contain more diverse functions to meet the needs of a large number of users in one capacity. The trends show the need for recognition of design objects in an organized structure, which must meet current design criteria. The design process in terms of the complex system is a theoretical model, which is the basis for optimization solutions for the entire life cycle of the building. From the concept phase through exploitation phase to disposal phase multipurpose spaces should guarantee aesthetics, functionality, system efficiency, system safety and environmental protection in the best possible way. The result of the analysis of the design process is presented as a theoretical model of the multifunctional structure. Recognition of multi-criteria model in the form of Cartesian product allows to create a holistic representation of the designed building in the form of a graph model. The proposed network is the theoretical base that can be used in the design process of complex engineering systems. The systematic multi-criteria approach makes possible to maintain control over the entire design process and to provide the best possible performance. With respect to current design requirements, there are no established design rules for multifunctional buildings in relation to their operating phase. Enrichment of the basic criteria with functional flexibility criterion makes it possible to extend the exploitation phase which brings advantages on many levels.

  15. Waste management project’s alternatives: A risk-based multi-criteria assessment (RBMCA) approach

    International Nuclear Information System (INIS)

    Karmperis, Athanasios C.; Sotirchos, Anastasios; Aravossis, Konstantinos; Tatsiopoulos, Ilias P.

    2012-01-01

    Highlights: ► We examine the evaluation of a waste management project’s alternatives. ► We present a novel risk-based multi-criteria assessment (RBMCA) approach. ► In the RBMCA the evaluation criteria are based on the quantitative risk analysis of the project’s alternatives. ► Correlation between the criteria weight values and the decision makers’ risk preferences is examined. ► Preference to the multi-criteria against the one-criterion evaluation process is discussed. - Abstract: This paper examines the evaluation of a waste management project’s alternatives through a quantitative risk analysis. Cost benefit analysis is a widely used method, in which the investments are mainly assessed through the calculation of their evaluation indicators, namely benefit/cost (B/C) ratios, as well as the quantification of their financial, technical, environmental and social risks. Herein, a novel approach in the form of risk-based multi-criteria assessment (RBMCA) is introduced, which can be used by decision makers, in order to select the optimum alternative of a waste management project. Specifically, decision makers use multiple criteria, which are based on the cumulative probability distribution functions of the alternatives’ B/C ratios. The RBMCA system is used for the evaluation of a waste incineration project’s alternatives, where the correlation between the criteria weight values and the decision makers’ risk preferences is analyzed and useful conclusions are discussed.

  16. Comparison of Two Multi-Criteria Decision Techniques for Eliciting Treatment Preferences in People with Neurological Disorders

    NARCIS (Netherlands)

    IJzerman, Maarten Joost; van Til, Janine Astrid; Snoek, Govert J.

    2008-01-01

    Objective: To present and compare two multi-criteria decision techniques (analytic hierarchy process [AHP] and conjoint analysis [CA]) for eliciting preferences in patients with cervical spinal cord injury (SCI) who are eligible for surgical augmentation of hand function, either with or without

  17. A multicriteria approach to evaluate wind energy plants on an Italian island

    International Nuclear Information System (INIS)

    Cavallaro, Fausto; Ciraolo, Luigi

    2005-01-01

    The decision-making process regarding the choice of alternative energy is multidimensional, made up of a number of aspects at different levels--economic, technical, environmental, and social. In this respect multicriteria analysis appears to be the most appropriate tool to understand all the different perspectives involved and to support those concerned with the decision making process by creating a set of relationships between the various alternatives. The main aim of this paper is to make a preliminary assessment regarding the feasibility of installing some wind energy turbines in a site on the island of Salina (Aeolian islands-Italy). Thus, a multicriteria method will be applied in order to support the selection and evaluation of one or more of the solutions proposed. Having analysed the local environmental conditions and its energy profile, four wind turbine configurations were postulated as options. These options were then appraised by comparison against a family of criteria and calculations were performed using a multicriteria algorithm to rank the solutions, from the best to worst. The option at the top of the ranking refers to the installation of a plant of 150 kW and this emerged as the right compromise between the costs of realization, local energy requirements and the need to conserve the area and the environment especially in view of the high/medium-bracket tourism business on the island. The sensitivity analysis performed subsequently backed up the findings. As this work demonstrates, multicriteria analysis can provide a valid tool to aid decision making for achieving targets relating to more sustainable green energy

  18. Multicriteria shape design of an aerosol can

    Directory of Open Access Journals (Sweden)

    Benki Aalae

    2015-07-01

    Full Text Available One of the current challenges in the domain of the multicriteria shape optimization is to reduce the calculation time required by conventional methods. The high computational cost is due to the high number of simulation or function calls required by these methods. Recently, several studies have been led to overcome this problem by integrating a metamodel in the overall optimization loop. In this paper, we perform a coupling between the Normal Boundary Intersection – NBI – algorithm with Radial Basis Function – RBF – metamodel in order to have a simple tool with a reasonable calculation time to solve multicriteria optimization problems. First, we apply our approach to academic test cases. Then, we validate our method against an industrial case, namely, shape optimization of the bottom of an aerosol can undergoing nonlinear elasto-plastic deformation. Then, in order to select solutions among the Pareto efficient ones, we use the same surrogate approach to implement a method to compute Nash and Kalai–Smorodinsky equilibria.

  19. Multi-criteria approach for strategic planning of reverse supply chain

    Directory of Open Access Journals (Sweden)

    Abdelkader Benzohra

    2017-04-01

    Full Text Available A reverse supply chain is viewed as a process from consumption point to recovery point and the management of domestic waste is considered as a specific and complex reverse supply chain. This important sector represents a high challenging problem for our cities, constrained by financial, social, health and environmental considerations. This paper proposes multicriteria decision aid to help choose an efficient domestic waste management strategy. In fact, Multicriteria decision making techniques are considered as a key option to solve this type of problems, giving a solution that represents a good compromise between different preferences. The adopted approach consists in outranking a set of candidate management plans using a method based on partial aggregation criteria. This model is applied on a real case study of an Algerian city and to validate the obtained results, a deep sensitivity analysis is carried out, giving the most appropriate plans.

  20. Multi-criteria evaluation of cooking energy alternatives for promoting parabolic solar cooker in India

    Energy Technology Data Exchange (ETDEWEB)

    Pohekar, S.D. [Birla Institute of Technology and Science, Pilani (India). CREED; Ramachandran, M. [Birla Institute of Technology and Science, Dubai (United Arab Emirates)

    2004-07-01

    The policy formulation for cooking energy substitution by renewables is addressed in multi-criteria context. A survey is conducted to know the perceptions of different decision making groups on present dissemination of various cooking energy alternatives in India. Nine cooking energy alternatives are evaluated on 30 different criteria comprising of technical, economic, environmental/social, behavioural and commercial issues. Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), a multi-criteria decision making method of outranking nature is used to rank the alternatives. It is found that liquefied petroleum gas (LPG) stove is the most preferred device, followed by kerosene stove, solar box cooker and parabolic solar cooker (PSC) in that order. A sensitivity analysis is also carried out for identifying potential areas for improvement for PSC. On the basis of results, strategies for promoting wide spread use of PSC are formulated. (author)

  1. Seismicity studies at Moluccas area based on the result of hypocenter relocation using HypoDD

    Energy Technology Data Exchange (ETDEWEB)

    Utama, Muhammad Reza July, E-mail: muhammad.reza@bmkg.go.id [Student of Geophysical Engineering Study Program, Institute of Technology Bandung (Indonesia); Indonesian Meteorological, Climatological and Geophysical Agency (MCGA), Jakarta (Indonesia); Nugraha, Andri Dian; Puspito, Nanang T. [Global Geophysical Research Group, Faculty of Mining and Petroleum Engineering, ITB (Indonesia)

    2015-04-24

    The precise hypocenter was determined location using double difference method around subduction zone in Moluccas area eastern part of Indonesia. The initial hypocenter location from MCGA data catalogue of 1,945 earthquake events. Basically the principle of double-difference algorithm assumes if the distance between two earthquake hypocenter distribution is very small compared to the distance between the station to the earthquake source, the ray path can be considered close to both earthquakes. The results show the initial earthquakes with a certain depth (fix depth 10 km) relocated and can be interpreted more reliable in term of seismicity and geological setting. The relocation of the intra slab earthquakes beneath Banda Arc are also clearly observed down to depth of about 400 km. The precise relocated hypocenter will give invaluable seismicity information for other seismological and tectonic studies especially for seismic hazard analysis in this region.

  2. Análise dos componentes principais e métodos multicritério ordinais no estudo de organossolos e solos afins Principal component analysis and ordinal multicriteria methods to study organosols and related soils

    Directory of Open Access Journals (Sweden)

    Gustavo Souza Valladares

    2008-02-01

    SBCS (Brazilian Soil Science Society; the analytical methods proposed by EMBRAPA-Solos were used to characterize the soils. The principal component analysis was used to cluster the profiles based on morphological, physical, chemical and environmental attributes and proved adequate to group the soils under study based on the profile attributes and the grouping was well related to their taxonomy. The soil profiles were ranked by the ordinal multicriteria methods of Border, Condorcet and Copeland based on the subsidence risk. Results indicated a correlation between the methods (with exception of the Condorcet approach, unsuitable to rank the alternatives and the minimum residue, which is the classical parameter for the evaluation of subsidence, indicating efficacy to rank/classify the soil profiles in relation to subsidence risk. The quantitative approaches used are promising as evaluation tools in soil science studies.

  3. Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a Portuguese region

    International Nuclear Information System (INIS)

    Silva, Sandra; Alçada-Almeida, Luís; Dias, Luís C.

    2014-01-01

    This work addresses the problem of determining the most suitable sites for locating biogas plants using dairy manure as feedstock, specifically in the Entre-Douro-e-Minho Region in Portugal. A Multicriteria Spatial Decision Support System is developed to tackle this complex multicriteria decision-making problem, involving constraints and many environmental, economic, safety, and social factors. The approach followed combines the use of a Geographic Information System (GIS) to manage and process spatial information with the flexibility of Multicriteria Decision Aid (MCDA) to assess factual information (e.g. soil type, slope, infrastructures) with more subjective information (e.g. expert opinion). The MCDA method used is ELECTRE TRI, an outranking-type method that yields a classification of the possible alternatives. The results of the performed analysis show that the use of ELECTRE TRI is suitable to address real-world problems of land suitability, leading towards a flexible and integrated assessment. - Highlights: • We present a spatial multi-criteria methodology to decide biogas plants siting. • Methodology combines ELECTRE TRI with GIS for spatial analysis. • Constraints and environmental, economic and social factors have been identified. • The methodology is illustrated with application to a case study in the EDM Region. • A suitability map was generated, identifying the most suitable biogas plant locations

  4. Franchise Relocations, Expansions, and Mergers in Professional Sports Leagues

    OpenAIRE

    Daniel, Rascher

    2008-01-01

    All three sections in this chapter are interrelated. Expansions and relocations, especially in the early years of a league, are often the response to upstart rival leagues. More recently, relocations have occurred because another city offers a better facility lease regardless of whether the league as a whole is better off or not. Relocations, more so than expansions, often end up in court whether as an antitrust case accusing the league of monopolistically restricting business or as an emi...

  5. An Updated Earthquake Relocation Catalog for the Island of Hawaíi from 2009 to 2016

    Science.gov (United States)

    Lin, G.; Okubo, P.; Shearer, P. M.; Matoza, R. S.

    2017-12-01

    We present an updated catalog of Hawaiian seismicity, systematically relocated from a starting catalog compiled by the Hawaiian Volcano Observatory (HVO). This is a continuation of our collaboration that began with relocating Hawaiian seismicity from 1992 through April 2009 and subsequently added 1986 through 1991, all initially processed with HVO's Caltech-USGS Seismic Processing systems. Our current efforts are initially focused on extending waveform cross-correlation analyses to significantly greater numbers of candidate event pairs of earthquakes recorded since 2009, after HVO migrated to its ANSS Quake Management Software (AQMS) systems. In its roughly 8 years of AQMS processing, HVO has cataloged over 170,000 events. Particular challenges with this more recent dataset relate to field network upgrades that introduced numerous broadband sensors to replace short-period instruments and significantly increased numbers of event triggers. A relatively low percentage of interactively-reviewed events compared to the pre-2009 catalogs also presents a significant challenge to our analysis. We start by ray tracing through a previously developed three-dimensional (3-D) seismic velocity model to relocate all the earthquakes with phase arrivals. We then use these 3-D relocated events, with improved absolute locations, as reference events to perform similar-event cluster analysis and differential-time relative relocation to all the available events in the data set. The resulting catalog of relocated, well-constrained hypocenters is an extension of our previous studies. Combined with earlier products of our systematic catalog relocations, the increased numbers of relocated earthquakes from more than 30 years of seismic monitoring offer enhanced opportunities for study and interpretation of seismic and volcanic processes spanning the entire 1986-2016 interval.

  6. Records About Japanese Americans Relocated During World War II

    Data.gov (United States)

    National Archives and Records Administration — This series contains personal descriptive data about Japanese Americans evacuated from the states of Washington, Oregon, and California to ten relocation centers...

  7. A multi-criteria optimization and decision-making approach for improvement of food engineering processes

    Directory of Open Access Journals (Sweden)

    Alik Abakarov

    2013-04-01

    Full Text Available The objective of this study was to propose a multi-criteria optimization and decision-making technique to solve food engineering problems. This technique was demonstrated using experimental data obtained on osmotic dehydration of carrot cubes in a sodium chloride solution. The Aggregating Functions Approach, the Adaptive Random Search Algorithm, and the Penalty Functions Approach were used in this study to compute the initial set of non-dominated or Pareto-optimal solutions. Multiple non-linear regression analysis was performed on a set of experimental data in order to obtain particular multi-objective functions (responses, namely water loss, solute gain, rehydration ratio, three different colour criteria of rehydrated product, and sensory evaluation (organoleptic quality. Two multi-criteria decision-making approaches, the Analytic Hierarchy Process (AHP and the Tabular Method (TM, were used simultaneously to choose the best alternative among the set of non-dominated solutions. The multi-criteria optimization and decision-making technique proposed in this study can facilitate the assessment of criteria weights, giving rise to a fairer, more consistent, and adequate final compromised solution or food process. This technique can be useful to food scientists in research and education, as well as to engineers involved in the improvement of a variety of food engineering processes.

  8. A Monte-Carlo game theoretic approach for Multi-Criteria Decision Making under uncertainty

    Science.gov (United States)

    Madani, Kaveh; Lund, Jay R.

    2011-05-01

    Game theory provides a useful framework for studying Multi-Criteria Decision Making problems. This paper suggests modeling Multi-Criteria Decision Making problems as strategic games and solving them using non-cooperative game theory concepts. The suggested method can be used to prescribe non-dominated solutions and also can be used as a method to predict the outcome of a decision making problem. Non-cooperative stability definitions for solving the games allow consideration of non-cooperative behaviors, often neglected by other methods which assume perfect cooperation among decision makers. To deal with the uncertainty in input variables a Monte-Carlo Game Theory (MCGT) approach is suggested which maps the stochastic problem into many deterministic strategic games. The games are solved using non-cooperative stability definitions and the results include possible effects of uncertainty in input variables on outcomes. The method can handle multi-criteria multi-decision-maker problems with uncertainty. The suggested method does not require criteria weighting, developing a compound decision objective, and accurate quantitative (cardinal) information as it simplifies the decision analysis by solving problems based on qualitative (ordinal) information, reducing the computational burden substantially. The MCGT method is applied to analyze California's Sacramento-San Joaquin Delta problem. The suggested method provides insights, identifies non-dominated alternatives, and predicts likely decision outcomes.

  9. Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System

    Directory of Open Access Journals (Sweden)

    Tiefeng Zhang

    2010-10-01

    Full Text Available The evaluation of solutions is an important phase in power distribution system planning (PDSP which allows issues such as quality of supply, cost, social service and environmental implications to be considered and usually involves the judgments of a group of experts. The planning problem is thus suitable for the multi-criteria group decision-making (MCGDM method. The evaluation process and evaluation criteria often involve uncertainties incorporated in quantitative analysis with crisp values and qualitative judgments with linguistic terms; therefore, fuzzy sets techniques are applied in this study. This paper proposes a fuzzy multi-criteria group decision-making (FMCGDM method for PDSP evaluation and applies a fuzzy multi-criteria group decision support system (FMCGDSS to support the evaluation task. We introduce a PDSP evaluation model, which has evaluation criteria within three levels, based on the characteristics of a power distribution system. A case-based example is performed on a test distribution network and demonstrates how all the problems in a PDSP evaluation are addressed using FMCGDSS. The results are acceptable to expert evaluators.

  10. A fuzzy multi-criteria decision-making model for trigeneration system

    International Nuclear Information System (INIS)

    Wang Jiangjiang; Jing Youyin; Zhang Chunfa; Shi Guohua; Zhang Xutao

    2008-01-01

    The decision making for trigeneration systems is a compositive project and it should be evaluated and compared in a multi-criteria analysis method. This paper presents a fuzzy multi-criteria decision-making model (FMCDM) for trigeneration systems selection and evaluation. The multi-criteria decision-making methods are briefly reviewed combining the general decision-making process. Then the fuzzy set theory, weighting method and the FMCDM model are presented. Finally, several kinds of trigeneration systems, whose dynamical sources are, respectively stirling engine, gas turbine, gas engine and solid oxide fuel cell, are compared and evaluated with a separate generation system. The case for selecting the optimal trigeneration system applied to a residential building is assessed from the technical, economical, environmental and social aspects, and the FMCDM model combining analytic hierarchical process is applied to the trigeneration case to demonstrate the decision-making process and effectiveness of proposed model. The results show that the gas engine plus lithium bromide absorption water heater/chiller unit for the residential building is the best scheme in the five options

  11. A fast optimization algorithm for multicriteria intensity modulated proton therapy planning

    International Nuclear Information System (INIS)

    Chen Wei; Craft, David; Madden, Thomas M.; Zhang, Kewu; Kooy, Hanne M.; Herman, Gabor T.

    2010-01-01

    Purpose: To describe a fast projection algorithm for optimizing intensity modulated proton therapy (IMPT) plans and to describe and demonstrate the use of this algorithm in multicriteria IMPT planning. Methods: The authors develop a projection-based solver for a class of convex optimization problems and apply it to IMPT treatment planning. The speed of the solver permits its use in multicriteria optimization, where several optimizations are performed which span the space of possible treatment plans. The authors describe a plan database generation procedure which is customized to the requirements of the solver. The optimality precision of the solver can be specified by the user. Results: The authors apply the algorithm to three clinical cases: A pancreas case, an esophagus case, and a tumor along the rib cage case. Detailed analysis of the pancreas case shows that the algorithm is orders of magnitude faster than industry-standard general purpose algorithms (MOSEK's interior point optimizer, primal simplex optimizer, and dual simplex optimizer). Additionally, the projection solver has almost no memory overhead. Conclusions: The speed and guaranteed accuracy of the algorithm make it suitable for use in multicriteria treatment planning, which requires the computation of several diverse treatment plans. Additionally, given the low memory overhead of the algorithm, the method can be extended to include multiple geometric instances and proton range possibilities, for robust optimization.

  12. A fast optimization algorithm for multicriteria intensity modulated proton therapy planning.

    Science.gov (United States)

    Chen, Wei; Craft, David; Madden, Thomas M; Zhang, Kewu; Kooy, Hanne M; Herman, Gabor T

    2010-09-01

    To describe a fast projection algorithm for optimizing intensity modulated proton therapy (IMPT) plans and to describe and demonstrate the use of this algorithm in multicriteria IMPT planning. The authors develop a projection-based solver for a class of convex optimization problems and apply it to IMPT treatment planning. The speed of the solver permits its use in multicriteria optimization, where several optimizations are performed which span the space of possible treatment plans. The authors describe a plan database generation procedure which is customized to the requirements of the solver. The optimality precision of the solver can be specified by the user. The authors apply the algorithm to three clinical cases: A pancreas case, an esophagus case, and a tumor along the rib cage case. Detailed analysis of the pancreas case shows that the algorithm is orders of magnitude faster than industry-standard general purpose algorithms (MOSEK'S interior point optimizer, primal simplex optimizer, and dual simplex optimizer). Additionally, the projection solver has almost no memory overhead. The speed and guaranteed accuracy of the algorithm make it suitable for use in multicriteria treatment planning, which requires the computation of several diverse treatment plans. Additionally, given the low memory overhead of the algorithm, the method can be extended to include multiple geometric instances and proton range possibilities, for robust optimization.

  13. Behavioral optimization models for multicriteria portfolio selection

    Directory of Open Access Journals (Sweden)

    Mehlawat Mukesh Kumar

    2013-01-01

    Full Text Available In this paper, behavioral construct of suitability is used to develop a multicriteria decision making framework for portfolio selection. To achieve this purpose, we rely on multiple methodologies. Analytical hierarchy process technique is used to model the suitability considerations with a view to obtaining the suitability performance score in respect of each asset. A fuzzy multiple criteria decision making method is used to obtain the financial quality score of each asset based upon investor's rating on the financial criteria. Two optimization models are developed for optimal asset allocation considering simultaneously financial and suitability criteria. An empirical study is conducted on randomly selected assets from National Stock Exchange, Mumbai, India to demonstrate the effectiveness of the proposed methodology.

  14. Food Relocalization for Environmental Sustainability in Cumbria

    Directory of Open Access Journals (Sweden)

    Les Levidow

    2011-04-01

    Full Text Available In the past decade, many European farmers have adopted less-intensive production methods replacing external inputs with local resources and farmers’ skills. Some have developed closer relations with consumers, also known as short food-supply chains or agro-food relocalization. Through both these means, farmers can gain more of the value that they have added to food production, as well as greater incentives for more sustainable methods and/or quality products, thus linking environmental and economic sustainability. These systemic changes encounter difficulties indicating two generic needs—for state support measures, and for larger intermediaries to expand local markets. The UK rural county of Cumbria provides a case study for exploring those two needs. Cumbria farmers have developed greater proximity to consumers, as a means to gain their support for organic, territorially branded and/or simply ‘local’ food. This opportunity has been an incentive for practices which reduce transport distances, energy costs and other inputs. Regional authorities have provided various support measures for more closely linking producers with each other and with consumers, together developing a Cumbrian food culture. Going beyond the capacity of individual producers, farmer-led intermediaries have maintained distinctive product identities in larger markets including supermarket chains. Although Cumbria’s agro-food relocalization initiatives remain marginal, they counteract the 1990s trend towards delocalization, while also indicating potential for expansion elsewhere.

  15. Multicriteria Decisions in Urban Energy System Planning: A Review

    Energy Technology Data Exchange (ETDEWEB)

    Cajot, Sébastien, E-mail: sebastien.cajot@alumni.epfl.ch [European Institute for Energy Research, Karlsruhe (Germany); Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Lausanne (Switzerland); Mirakyan, Atom [Energy Economics and Planning Department, Lahmeyer International, Bad Vilbel (Germany); Koch, Andreas [European Institute for Energy Research, Karlsruhe (Germany); Maréchal, François [Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Lausanne (Switzerland)

    2017-05-30

    Urban energy system planning (UESP) is a topic of growing concern for cities in deregulated energy markets, which plan to decrease energy demand, reduce their dependency on fossil fuels, and increase the share of renewable energy sources. UESP being a highly multisectoral and multi-actor task, multicriteria decision analysis (MCDA) methods are frequently used in the decision processes. These methods may provide support in organizing and identifying solutions to problems with conflicting objectives. However, knowing which method to use is generally not straightforward, as the appropriateness of a method or combination of methods depends on the decision problem’s context. Therefore, this article reviewed scientific papers to characterize and analyze MCDA problems and methods in the context of UESP. The review systematically explores issues such as the scope of the problems, the alternatives and criteria considered, the expected decision outcomes, the decision analysis methods and the rationales for selecting and combining them, and the role of values in driving the decision problems. The final outcome is a synthesis of the data and insights obtained, which may help potential users identify appropriate decision analysis methods based on given problem characteristics.

  16. Multicriteria Decisions in Urban Energy System Planning: A Review

    International Nuclear Information System (INIS)

    Cajot, Sébastien; Mirakyan, Atom; Koch, Andreas; Maréchal, François

    2017-01-01

    Urban energy system planning (UESP) is a topic of growing concern for cities in deregulated energy markets, which plan to decrease energy demand, reduce their dependency on fossil fuels, and increase the share of renewable energy sources. UESP being a highly multisectoral and multi-actor task, multicriteria decision analysis (MCDA) methods are frequently used in the decision processes. These methods may provide support in organizing and identifying solutions to problems with conflicting objectives. However, knowing which method to use is generally not straightforward, as the appropriateness of a method or combination of methods depends on the decision problem’s context. Therefore, this article reviewed scientific papers to characterize and analyze MCDA problems and methods in the context of UESP. The review systematically explores issues such as the scope of the problems, the alternatives and criteria considered, the expected decision outcomes, the decision analysis methods and the rationales for selecting and combining them, and the role of values in driving the decision problems. The final outcome is a synthesis of the data and insights obtained, which may help potential users identify appropriate decision analysis methods based on given problem characteristics.

  17. Fuel relocation mechanism based on microstructures of debris

    International Nuclear Information System (INIS)

    Strain, R.V.; Neimark, L.A.; Sanecki, J.E.

    1988-05-01

    Argonne National Laboratory (ANL) has performed a number of examinations to determine the microstructure and micro-chemistry of samples of debris from the TMI-2 reactor. These examinations have been a small part of the overall effort to gain an understanding of the TMI-2 accident. As a result of these overall efforts, a general scenario of the response of the core components has been established. In this paper we will describe the microstructure and micro-chemistry of debris from the lower plenum of the reactor and relate these data to a segment of the general scenario dealing with the relocation of this material. The primary tools used at ANL for the examination of material from the TMI-2 core were optical microscopy, scanning electron microscopy and Energy Dispersive X-Ray Spectroscopy, and Scanning Auger Spectroscopy. In some cases these techniques were augmented by the use of gamma spectroscopy, autoradiography, and X-ray diffraction analysis

  18. Future analytical provision - Relocation of Sellafield Ltd Analytical Services Laboratory

    International Nuclear Information System (INIS)

    Newell, B.

    2015-01-01

    Sellafield Ltd Analytical Services provide an essential view on the environmental, safety, process and high hazard risk reduction performances by analysis of samples. It is the largest and most complex analytical services laboratory in Europe, with 150 laboratories (55 operational) and 350 staff (including 180 analysts). Sellafield Ltd Analytical Services Main Laboratory is in need of replacement. This is due to the age of the facility and changes to work streams. This relocation is an opportunity to -) design and commission bespoke MA (Medium-Active) cells, -) modify HA (High-Active) cell design to facilitate an in-cell laboratory, -) develop non-destructive techniques, -) open light building for better worker morale. The option chosen was to move the activities to the NNL Central laboratory (NNLCL) that is based at Sellafield and is the UK's flagship nuclear research and development facility. This poster gives a time schedule

  19. Means for Transferring Knowledge in the Relocation of Manufacturing Units

    DEFF Research Database (Denmark)

    Yang, Cheng; Madsen, Erik Skov; Liangsiri, Jirapha

    2009-01-01

    The global spread of production makes companies relocating their manufacturing units to achieve economies of scale, enjoy low-cost labor, or access to new markets. For the relocation, not only equipments, systems and facilities, need to be moved, but also operational knowledge and experience. Based...

  20. Relocation: Its Effect on Health, Functioning and Mortality.

    Science.gov (United States)

    Borup, Jerry H.; And Others

    1980-01-01

    Relocation of older patients had a positive effect on hypochondria, stamina, hygiene, and daily functioning but no effect on health status. Self-health assessments, stamina, hypochondria, and hygiene had no effect on the mortality rate of relocated patients, but daily functioning did effect the mortality rate. (Author)

  1. 47 CFR 0.186 - Emergency Relocation Board.

    Science.gov (United States)

    2010-10-01

    ..., Defense and Emergency Preparedness Functions § 0.186 Emergency Relocation Board. (a) As specified in the... functions of the Commission. Relocation may be required to accommodate a variety of emergency scenarios... require the evacuation of FCC headquarters with little or no advance notice, but for only a short duration...

  2. 44 CFR 63.6 - Reimbursable relocation costs.

    Science.gov (United States)

    2010-10-01

    ... 44 Emergency Management and Assistance 1 2010-10-01 2010-10-01 false Reimbursable relocation costs. 63.6 Section 63.6 Emergency Management and Assistance FEDERAL EMERGENCY MANAGEMENT AGENCY, DEPARTMENT... OF SECTION 1306(c) OF THE NATIONAL FLOOD INSURANCE ACT OF 1968 General § 63.6 Reimbursable relocation...

  3. The Four-Factor Taxonomy of Relocation Outcomes

    Science.gov (United States)

    Matthiesen, Jane Kirsten; Tissington, Patrick

    2008-01-01

    Relocation, an intraorganizational geographical transfer, can be used for human resource development (HRD) because of the positive developmental effects it can induce. It is, thus, important for HRD professionals to understand the implications of relocation to ensure it is used appropriately and effectively as an HRD technique. Research on…

  4. Strategic environmental policy when the governments are threatened by relocation

    International Nuclear Information System (INIS)

    Greaker, Mads

    2003-01-01

    This paper analyzes how the threat of relocation influences environmental policy. The stringency of environmental policy is determined in a game between two governments. There is one firm in each jurisdiction, and both firms threaten to relocate their production to the other jurisdiction. Because there is asymmetric information about the cost of relocation, the governments do not know the credibility of the threat. We compare the outcome of this game with the outcome of a game in which relocation is not possible. We find that the threat of relocation can increase both the level of environmental regulation and welfare. The profit tax level proves to be the most decisive for the result; that is, the higher the profit tax level, the lower the level of environmental regulation

  5. Social support, coping strategies and their correlations with older adults' relocation adjustments after natural disaster.

    Science.gov (United States)

    Chao, Shiau-Fang

    2017-06-01

    The present study examines the associations among social support, coping strategies and relocation adjustment outcomes, including community cohesion, residential satisfaction and depressive symptoms, for older persons in Taiwan displaced by Typhoon Morakot. This study enrolled 372 adults aged 60 years or older who were relocated to permanent houses after Typhoon Morakot destroyed their homes on 8 August 2009. A path analysis simultaneously examined the hypothesized links among social support, coping strategies and relocation adjustment outcomes. The relationships between coping strategies and relocation outcomes varied. Problem-focused and support-seeking coping were positively related to perceived community cohesion, whereas emotion-focused coping was associated with a high number of depressive symptoms. Social support was positively related to residential satisfaction. Additionally, social support was also indirectly related to increased community cohesion and residential satisfaction through its positive relationship with support-seeking and problem-focused coping. More interventions should be implemented to enhance support within informal networks and a sense of belonging to the new resident community, thereby promoting more active coping strategies, enhancing the effectiveness of coping efforts and maximizing positive adjustment outcomes. Geriatr Gerontol Int 2017; 17: 1006-1014. © 2016 Japan Geriatrics Society.

  6. A Novel Nonadditive Collaborative-Filtering Approach Using Multicriteria Ratings

    Directory of Open Access Journals (Sweden)

    Yi-Chung Hu

    2013-01-01

    Full Text Available Although single-criterion recommender systems have been successfully used in several applications, multicriteria rating systems which allow users to specify ratings for various content attributes of individual items are gaining importance in recommendation context. An overall rating of an unrated item is often obtained by the weighted average method (WAM when criterion weights are available. However, the assumption of additivity for the WAM is not always reasonable. For this reason, this paper presents a new collaborative-filtering approach using multicriteria ratings, in which a nonadditive technique in Multicriteria decision making (MCDM, namely, the Choquet integral, is used to aggregate multicriteria ratings for unrated items. Subsequently, the system can recommend items with higher overall ratings for each user. The degrees of importance of the respective criteria are determined by a genetic algorithm. In contrast to the additive weighted average aggregation, the Choquet integral does not ignore the interaction among criteria. The applicability of the proposed approach to the recommendation of the initiators on a group-buying website is examined. Experimental results demonstrate that the generalization ability of the proposed approach performs well compared with other similarity-based collaborative-filtering approaches using multicriteria ratings.

  7. SELECTING A MANAGEMENT SYSTEM HOSPITAL BY A METHOD MULTICRITERIA

    Directory of Open Access Journals (Sweden)

    Vitorino, Sidney L.

    2016-12-01

    Full Text Available The objective of this report is to assess how the multi-criteria method Analytic Hierarchy Process [HP] can help a hospital complex to choose a more suitable management system, known as Enterprise Resource Planning (ERP. The choice coated is very complex due to the novelty of the process of choosing and conflicts generated between areas that did not have a single view of organizational needs, generating a lot of pressure in the department responsible for implementing systems. To assist in this process, he was hired an expert consultant in decision-making and AHP, which in its role of facilitator, contributed to the criteria for system selection were defined, and the choice to occur within a consensual process. We used the study of a single case, based on two indepth interviews with the consultant and the project manager, and documents generated by the advisory and the tool that supported the method. The results of this analysis showed that the method could effectively collaborate in the system acquisition process, but knowledge of the problems of employees and senior management support, it was not used in new decisions of the organization. We conclude that this method contributed to the consensus in the procurement process, team commitment and engagement of those involved.

  8. Multicriteria Resource Brokering in Cloud Computing for Streaming Service

    Directory of Open Access Journals (Sweden)

    Chih-Lun Chou

    2015-01-01

    Full Text Available By leveraging cloud computing such as Infrastructure as a Service (IaaS, the outsourcing of computing resources used to support operations, including servers, storage, and networking components, is quite beneficial for various providers of Internet application. With this increasing trend, resource allocation that both assures QoS via Service Level Agreement (SLA and avoids overprovisioning in order to reduce cost becomes a crucial priority and challenge in the design and operation of complex service-based platforms such as streaming service. On the other hand, providers of IaaS also concern their profit performance and energy consumption while offering these virtualized resources. In this paper, considering both service-oriented and infrastructure-oriented criteria, we regard this resource allocation problem as Multicriteria Decision Making problem and propose an effective trade-off approach based on goal programming model. To validate its effectiveness, a cloud architecture for streaming application is addressed and extensive analysis is performed for related criteria. The results of numerical simulations show that the proposed approach strikes a balance between these conflicting criteria commendably and achieves high cost efficiency.

  9. Fuzzy Multicriteria ABC Supplier Classification in Global Supply Chain

    Directory of Open Access Journals (Sweden)

    Petar Kefer

    2016-01-01

    Full Text Available The determination of the optimal purchasing strategy in enterprise that is a part of global supply chain could be performed in two steps. In step one, a classification of potential suppliers is performed in order to determine the optimal portfolio of suppliers. This is delivered by using the fuzzy multicriteria proposed ABC classification method. Uncertainties in relative importance of criteria and their values are described by linguistic expressions. Modelling of linguistic expressions is based on the fuzzy sets theory. In the second step, ranking of optimal portfolio of suppliers is performed by using the modified ELECTRE method. The obtained results represent valuable input for determining the long time purchasing strategy and building partnership with the best suppliers. The developed two-step model is verified on real life data. The obtained results indicate good compliance with the opinions management in this type of industry. It is worth to mention that the proposed model can be easily extended and adopted to the analysis of other issues of management which could be applicable in different research areas.

  10. MEB 2013, Regulation for Administrator Assignment and Relocation Based On the Opinions of Administrators

    Directory of Open Access Journals (Sweden)

    Soner DOĞAN

    2014-04-01

    Full Text Available In this study; it is aimed to determine the opinions of the institution managers concerning the Regulation for Administrator Assignment and Relocation dated February 28, 2013, the scoring criteria in the regulation and the disturbances experienced in the application process of the regulation. The study is carried out in accordance with the phenomenological pattern through qualitative research methods. The participants were determined with the criterion sampling method which is one of the purposeful sampling methods. The study group of the research is composed of the eight managers serving in a province. In the study, a semi-structured interview form was used as data collection tool. In the interpretation process of the interviews, the inductive descriptive analysis, the content analysis and the constant comparison technique were used. Three main themes have come out regarding the result of the data analysis process of assigning the administrators, the combining of the different types of institutions and the application of the forced relocation.

  11. Relocation impacts of a major release from SRTC

    International Nuclear Information System (INIS)

    Blanchard, A.; Thompson, E.A.; Thompson, J.M.

    1999-01-01

    The relocation impacts of an accidental release, scenario 1-RD-3 , are evaluated for the Savannah River Technology Center. The extent of the area potentially contaminated to a level that would result in doses exceeding the relocation protective action guide(PAG)is calculated. The maximum calculated distance downwind from the accident at which the relocation PAG is exceeded is also determined. The consequences of the particulate portion of the release are evaluated using the HOTSPOT model and an EXCEL spreadsheet. The consequences of the tritium release are evaluated using UFOTRI

  12. MULTI-CRITERIA PROGRAMMING METHODS AND PRODUCTION PLAN OPTIMIZATION PROBLEM SOLVING IN METAL INDUSTRY

    Directory of Open Access Journals (Sweden)

    Tunjo Perić

    2017-09-01

    Full Text Available This paper presents the production plan optimization in the metal industry considered as a multi-criteria programming problem. We first provided the definition of the multi-criteria programming problem and classification of the multicriteria programming methods. Then we applied two multi-criteria programming methods (the STEM method and the PROMETHEE method in solving a problem of multi-criteria optimization production plan in a company from the metal industry. The obtained results indicate a high efficiency of the applied methods in solving the problem.

  13. Renewable energy projects: structuring a multi-criteria group decision making framework

    Energy Technology Data Exchange (ETDEWEB)

    Haralambopoulos, D.A.; Polatiidis, H. [UnIversity of the Aegean, Mytilene (Greece). Dept. of Environmental Studies

    2003-05-01

    This paper describes an applicable group decision-making framework for assisting with multi-criteria analysis in renewable energy projects, utilizing the PROMETHEE II outranking method. The proposed framework is tested in a case study concerning the exploitation of a geothermal resource, located in the island of Chios, Greece. The presented structure provides a serial, decomposed agenda and enhances overall process transparency. Additional, innovatory elements are the incorporation of differing levels of resource exploitation within the decision framework and the direct determination of the PROMETHEE preference thresholds. The developed methodology provides a user-friendly approach, promotes the synergy between different actors, and could pave a way towards consensus. (Author)

  14. Outcome based state budget allocation for diabetes prevention programs using multi-criteria optimization with robust weights.

    Science.gov (United States)

    Mehrotra, Sanjay; Kim, Kibaek

    2011-12-01

    We consider the problem of outcomes based budget allocations to chronic disease prevention programs across the United States (US) to achieve greater geographical healthcare equity. We use Diabetes Prevention and Control Programs (DPCP) by the Center for Disease Control and Prevention (CDC) as an example. We present a multi-criteria robust weighted sum model for such multi-criteria decision making in a group decision setting. The principal component analysis and an inverse linear programming techniques are presented and used to study the actual 2009 budget allocation by CDC. Our results show that the CDC budget allocation process for the DPCPs is not likely model based. In our empirical study, the relative weights for different prevalence and comorbidity factors and the corresponding budgets obtained under different weight regions are discussed. Parametric analysis suggests that money should be allocated to states to promote diabetes education and to increase patient-healthcare provider interactions to reduce disparity across the US.

  15. Development of policies for Natura 2000 sites: a multi-criteria approach to support decision makers.

    Science.gov (United States)

    Cortina, Carla; Boggia, Antonio

    2014-08-01

    The aim of this study is to present a methodology to support decision makers in the choice of Natura 2000 sites needing an appropriate management plan to ensure a sustainable socio-economic development. In order to promote sustainable development in the Natura 2000 sites compatible with nature preservation, conservation measures or management plans are necessary. The main issue is to decide when only conservation measures can be applied and when the sites need an appropriate management plan. We present a case study for the Italian Region of Umbria. The methodology is based on a multi-criteria approach to identify the biodiversity index (BI), and on the development of a human activities index (HAI). By crossing the two indexes for each site on a Cartesian plane, four groups of sites were identified. Each group corresponds to a specific need for an appropriate management plan. Sites in the first group with a high level both of biodiversity and human activities have the most urgent need of an appropriate management plan to ensure sustainable development. The proposed methodology and analysis is replicable in other regions or countries by using the data available for each site in the Natura 2000 standard data form. A multi-criteria analysis is especially suitable for supporting decision makers when they deal with a multidimensional decision process. We found the multi-criteria approach particularly sound in this case, due to the concept of biodiversity itself, which is complex and multidimensional, and to the high number of alternatives (Natura 2000 sites) to be assessed. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Evaluation of choices for sustainable rural electrification in developing countries: A multicriteria approach

    International Nuclear Information System (INIS)

    Rahman, Md. Mizanur; Paatero, Jukka V.; Lahdelma, Risto

    2013-01-01

    Rural electrification (RE) can be modelled as a multifactorial task connected to a large number of variables: decision makers need to choose the appropriate options by considering not only the techno-economic competitiveness but also socio-cultural dynamics and environmental consequences, making the task intricate. Many rural electrification projects have failed due to lack of attention to the issues beyond financial and technical dimensions. This paper presents a standardized approach for decision making concerning the extension of electricity services to rural areas. This approach first determines whether the supply provision should be grid expansion or off-grid on the basis of levelized cost of delivered electricity. If the grid expansion is found nonviable over off-grid options then a multicriteria decision aiding tool, SMAA-2 (Stochastic Multicriteria Acceptability Analysis), will evaluate off-grid technologies by aggregating 24 criteria values. While applying this approach, the delivered costs of electricity by the grid in remote areas within the 1–25 km distances vary in a range of 0.10–7.85 US$/kW h depending on the line lengths and load conditions. In the off-grid evaluation, the solar PV (photovoltaic) and biogas plants are found as the most preferable alternatives with 59% and 41% acceptability in their first rank, respectively. - Highlights: • Rural electrification involves a large number of socio-cultural issues in addition to technical and environmental considerations. • Decision makers need to choose the appropriate options by considering many criteria. • Many off-grid projects failed due to noncomplying of societal issues. • Multicriteria based decision choice can safeguard the projects from these issues. • SMAA analysis can select the alternatives based on merits

  17. Evaluation of natural gas supply options for Southeast and Central Europe: Part 2. Multi-criteria assessment

    International Nuclear Information System (INIS)

    Afgan, Naim H.; Carvalho, Maria G.; Pilavachi, Petros A.; Martins, Nelson

    2008-01-01

    Decision making methods are used as a tool for the selection of alternatives to be evaluated on the basis of several criteria. Evaluation of the potential routes for natural gas supply to the Southeast and Central European countries is studied using single and multi-criteria evaluation. The potential options included in this analysis are the: Yamal Route; Nabucco Route; West Balkan Route; LNG Neum Route; and Gas by Wire Route. In part 1, the paper was devoted to the definition of the indicators and to single indicator analysis. In part 2, the analysis is based on multi-criteria evaluation, which comprises the possibility to assess the options under predefined constraints amongst indicators. The paper also describes different methods used for multi-criteria evaluation. This analysis focuses on cases with different priorities defined among individual weighting coefficients with the others having the same value. It was shown that all options under specific constraints can be qualified as promising in the decision making process. It is also concluded that favourite indicator constraints may exaggerate some options

  18. Choice and necessity: relocations in the Arctic and South Pacific

    Directory of Open Access Journals (Sweden)

    Robin Bronen

    2014-02-01

    Full Text Available Relocation – whereby livelihoods, housing and public infrastructure are reconstructed in another location – may be the best adaptation response for communities whose current location becomes uninhabitable or is vulnerable to future climate-induced threats.

  19. Should We Leave? Attitudes towards Relocation in Response to Sea Level Rise

    Directory of Open Access Journals (Sweden)

    Jie Song

    2017-12-01

    Full Text Available The participation of individuals contributes significantly to the success of sea level rise adaptation. This study therefore addresses what influences people’s likelihood of relocating away from low-lying areas in response to rising sea levels. The analysis was based on a survey conducted in the City of Panama Beach in Florida (USA. Survey items relate to people’s risk perception, hazard experience, threat appraisal, and coping appraisal, whose theoretical background is Protection Motivation Theory. Descriptive and correlation analysis was first performed to highlight critical factors which were then examined by a multinomial Logit model. Results show that sea level rise awareness is the major explanatory variable. Coping appraisal is qualitatively viewed as a strong predictor for action, while threat appraisal is statistically significant in driving relocation intention. These factors should be integrated in current risk communication regarding sea level rise.

  20. Earthquake hypocenter relocation using double difference method in East Java and surrounding areas

    International Nuclear Information System (INIS)

    C, Aprilia Puspita; Nugraha, Andri Dian; Puspito, Nanang T

    2015-01-01

    Determination of precise hypocenter location is very important in order to provide information about subsurface fault plane and for seismic hazard analysis. In this study, we have relocated hypocenter earthquakes in Eastern part of Java and surrounding areas from local earthquake data catalog compiled by Meteorological, Climatological, and Geophysical Agency of Indonesia (MCGA) in time period 2009-2012 by using the double-difference method. The results show that after relocation processes, there are significantly changes in position and orientation of earthquake hypocenter which is correlated with the geological setting in this region. We observed indication of double seismic zone at depths of 70-120 km within the subducting slab in south of eastern part of Java region. Our results will provide useful information for advance seismological studies and seismic hazard analysis in this study

  1. Earthquake hypocenter relocation using double difference method in East Java and surrounding areas

    Energy Technology Data Exchange (ETDEWEB)

    C, Aprilia Puspita [Geophysical Engineering Program, Faculty of Mining and Petroleum Engineering, Institute of Technology Bandung (Indonesia); Meteorological, Climatological, and Geophysical Agency (MCGA) of Indonesian, Jakarta (Indonesia); Nugraha, Andri Dian, E-mail: nugraha@gf.itb.ac.id [Geophysical Engineering Program, Faculty of Mining and Petroleum Engineering, Institute of Technology Bandung (Indonesia); Puspito, Nanang T [Global Geophysical Research Group, Faculty of Mining and Petroleum Engineering, Institute of Technology Bandung (Indonesia)

    2015-04-24

    Determination of precise hypocenter location is very important in order to provide information about subsurface fault plane and for seismic hazard analysis. In this study, we have relocated hypocenter earthquakes in Eastern part of Java and surrounding areas from local earthquake data catalog compiled by Meteorological, Climatological, and Geophysical Agency of Indonesia (MCGA) in time period 2009-2012 by using the double-difference method. The results show that after relocation processes, there are significantly changes in position and orientation of earthquake hypocenter which is correlated with the geological setting in this region. We observed indication of double seismic zone at depths of 70-120 km within the subducting slab in south of eastern part of Java region. Our results will provide useful information for advance seismological studies and seismic hazard analysis in this study.

  2. Knowledge Transfer and Manufacturing Relocation in International Manufacturing Networks

    DEFF Research Database (Denmark)

    Madsen, Erik Skov

    2014-01-01

    This paper is built on six longitudinal case studies of knowledge transfer in manufacturing relocation. By focusing on tacit and explicit knowledge the paper introduces a model for identification of knowledge in relation to four task situations on the shop floor in a manufacturing environment...... after relocation. Finally the paper discusses how “dispatching capacity” and “absorptive capacity” can improve the process....

  3. Reexamining the Impact of Employee Relocation Assistance on Housing Prices

    OpenAIRE

    Marcus T. Allen; Ronald C. Rutherford; Thomas M. Springer

    1997-01-01

    In this paper, we reexamine the issue of whether corporate relocation assistance programs for transferred employees significantly affect sale prices of single-family homes. We estimate a hedonic price equation that includes physical housing characteristics, location factors, occupancy status, and type of seller for a sample of 2,441 transactions. Seller types include (a) transferred employees who were given direct relocation assistance, (b) transferred employees who were not given direct relo...

  4. Technique for estimating relocated gap width for gap conductance calculations

    International Nuclear Information System (INIS)

    Klink, P.H.

    1978-01-01

    Thermally induced fuel fragmentation and relocation has been demonstrated to influence the thermal behavior of a fuel rod in two ways. The effective fuel pellet conductivity is decreased and pellet-to-cladding heat transfer is improved. This paper presents a correlation between as-built and relocated gap width which, used with the Ross and Stoute Gap Conductance Correlation and an appropriate fuel thermal expansion model, closely predicts the measured gap conductances

  5. A Multi-Criteria Methodology to Support Public Administration Decision Making Concerning Sustainable Energy Action Plans

    Directory of Open Access Journals (Sweden)

    Chiara Novello

    2013-08-01

    Full Text Available For municipalities that have joined the Covenant of Mayors promoted by the European Commission, the Sustainable Energy Action Plan (SEAP represents a strategic tool for achieving the greenhouse gas reductions required by 2020. So far as the energy retrofit actions in their residential building stock are concerned, which in the small-to-medium municipalities are responsible for more than 60% of CO2 emissions, the scenarios for intervening are normally decided on the basis of an economic (cost/performance analysis. This type of analysis, however, does not take into account important aspects for small and medium-sized communities such as social aspects, environmental impacts, local economic development and employment. A more comprehensive and effective tool to support the choices of public administrators is the multi-criteria analysis. This study proposes a methodology that integrates multi-criteria analysis in order to support Public Administration/Local Authorities in programming Sustainable Energy Action Plans with a more targeted approach to sustainability. The methodology, based on the ELECTRE III method, was applied to a medium-size municipality in the Lombardy region of Italy. The results obtained with this approach are discussed in this paper.

  6. A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping.

    Science.gov (United States)

    Feizizadeh, Bakhtiar; Shadman Roodposhti, Majid; Jankowski, Piotr; Blaschke, Thomas

    2014-12-01

    Landslide susceptibility mapping (LSM) is making increasing use of GIS-based spatial analysis in combination with multi-criteria evaluation (MCE) methods. We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Our method is based on fuzzy membership functions (FMFs) derived from GIS analysis. It makes use of nine causal landslide factors identified by local landslide experts. Fuzzy set theory was first integrated with an analytical hierarchy process (AHP) in order to use pairwise comparisons to compare LSM criteria for ranking purposes. FMFs were then applied in order to determine the criteria weights to be used in the development of a landslide susceptibility map. Finally, a landslide inventory database was used to validate the LSM map by comparing it with known landslides within the study area. Results indicated that the integration of fuzzy set theory with AHP produced significantly improved accuracies and a high level of reliability in the resulting landslide susceptibility map. Approximately 53% of known landslides within our study area fell within zones classified as having "very high susceptibility", with the further 31% falling into zones classified as having "high susceptibility".

  7. A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping

    Science.gov (United States)

    Feizizadeh, Bakhtiar; Shadman Roodposhti, Majid; Jankowski, Piotr; Blaschke, Thomas

    2014-01-01

    Landslide susceptibility mapping (LSM) is making increasing use of GIS-based spatial analysis in combination with multi-criteria evaluation (MCE) methods. We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Our method is based on fuzzy membership functions (FMFs) derived from GIS analysis. It makes use of nine causal landslide factors identified by local landslide experts. Fuzzy set theory was first integrated with an analytical hierarchy process (AHP) in order to use pairwise comparisons to compare LSM criteria for ranking purposes. FMFs were then applied in order to determine the criteria weights to be used in the development of a landslide susceptibility map. Finally, a landslide inventory database was used to validate the LSM map by comparing it with known landslides within the study area. Results indicated that the integration of fuzzy set theory with AHP produced significantly improved accuracies and a high level of reliability in the resulting landslide susceptibility map. Approximately 53% of known landslides within our study area fell within zones classified as having “very high susceptibility”, with the further 31% falling into zones classified as having “high susceptibility”. PMID:26089577

  8. Multi-criteria decision making approaches for green supply chains

    NARCIS (Netherlands)

    Banasik, Aleksander; Bloemhof-Ruwaard, Jacqueline M.; Kanellopoulos, Argyris; Claassen, G.D.H.; Vorst, van der Jack G.A.J.

    2016-01-01

    Designing Green Supply Chains (GSCs) requires complex decision-support models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify

  9. Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools

    Directory of Open Access Journals (Sweden)

    2011-04-01

    enhanced multi-criteria method, namely fuzzy VIKOR, that takes advantages of fuzzy logic and group decision making to deal with the vagueness and granularity in the linguistic assessments. The method aims to isolate compromise solutions, by providing a maximum group utility and a minimum of an individual regret. A case study is also given to demonstrate the potential of the methodology.

  10. Supplier selection problem: A fuzzy multicriteria approach | Allouche ...

    African Journals Online (AJOL)

    The purpose of this paper is to suggest a fuzzy multi-criteria approach to solve the supplier selection problem, an approach based on the fuzzy analytic hierarchy process and imprecise goal programming. To deal with decision-maker (DM) preferences, the concept of satisfaction function is introduced. The proposed ...

  11. Application of multicriteria decision making methods to compression ignition engine efficiency and gaseous, particulate, and greenhouse gas emissions.

    Science.gov (United States)

    Surawski, Nicholas C; Miljevic, Branka; Bodisco, Timothy A; Brown, Richard J; Ristovski, Zoran D; Ayoko, Godwin A

    2013-02-19

    Compression ignition (CI) engine design is subject to many constraints, which present a multicriteria optimization problem that the engine researcher must solve. In particular, the modern CI engine must not only be efficient but must also deliver low gaseous, particulate, and life cycle greenhouse gas emissions so that its impact on urban air quality, human health, and global warming is minimized. Consequently, this study undertakes a multicriteria analysis, which seeks to identify alternative fuels, injection technologies, and combustion strategies that could potentially satisfy these CI engine design constraints. Three data sets are analyzed with the Preference Ranking Organization Method for Enrichment Evaluations and Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) algorithm to explore the impact of (1) an ethanol fumigation system, (2) alternative fuels (20% biodiesel and synthetic diesel) and alternative injection technologies (mechanical direct injection and common rail injection), and (3) various biodiesel fuels made from 3 feedstocks (i.e., soy, tallow, and canola) tested at several blend percentages (20-100%) on the resulting emissions and efficiency profile of the various test engines. The results show that moderate ethanol substitutions (~20% by energy) at moderate load, high percentage soy blends (60-100%), and alternative fuels (biodiesel and synthetic diesel) provide an efficiency and emissions profile that yields the most "preferred" solutions to this multicriteria engine design problem. Further research is, however, required to reduce reactive oxygen species (ROS) emissions with alternative fuels and to deliver technologies that do not significantly reduce the median diameter of particle emissions.

  12. Multi-criteria Evaluation of Nuclear Option

    International Nuclear Information System (INIS)

    Feretic, D.; Tomsic, Z.; Jaksic, D.

    2002-01-01

    When evaluating power system expansion scenarios there is a need to take into consideration a range of measurable and non-measurable impacts. Measurable impacts are fixed and variable production costs and, recently, external costs. Non-measurable impacts include public attitude to certain energy technology and investor's risk in achieving the expected profit (regulatory and political risk). Public attitude has a large and sometimes essential impact on decision-making. It is mostly associated with the expected environmental impact of a potential power plant and can be divided in rational and non-rational part. Rational part, which is in proportion with scientifically approved environmental impact of energy options (inversely proportional to external costs) is relatively small, while the other, non-rational category which is not proportional with the actual environmental impact (especially in the case of nuclear power), is much larger. Investor's risk in achieving the expected profit is mostly associated with possible changes of domestic or foreign regulations or policy that can influence power plant operation and long-term fuel availability and price. Two factors that affect decision-making should be distinguished. The first is the total impact of certain non-measurable factor and the other is the impact of certain technology on that non-measurable factor like public impact, for example. The objective of multi-criteria evaluation, after weighting and quantification of all impacts is to determine the most acceptable power system expansion option. In the article a simplified quantification will be made of measurable (investment costs, annual maintenance costs, fuel price, indirect costs of power plants) and non-measurable (public attitude, investor's risk) elements that affect future investment decision. For that purpose possible relative values of non-measurable impacts of different options will be determined (their weights and impact on relative increase of annual

  13. Multicriteria GIS modeling of wind and solar farms in Colorado

    Energy Technology Data Exchange (ETDEWEB)

    Janke, Jason R. [Metropolitan State College of Denver, Department of Earth and Atmospheric Sciences, CB 22 P.O. Box 173362-22, Denver, CO 80217-3362 (United States)

    2010-10-15

    The majority of electricity and heat in Colorado comes from coal and natural gas; however, renewable energy sources will play an integral role in the state's energy future. Colorado is the 11th windiest state and has more than 250 sunny days per year. The objectives of this research are to: 1) determine which landcover classes are affiliated with high wind and solar potential; and 2) identify areas that are suitable for wind and solar farms using multicriteria GIS modelling techniques. Renewable potential (NREL wind speed measurements at 50 m above the ground and NREL annual insolation data), landcover, population density, federal lands, and distance to roads, transmission lines, and cities were reclassified according to their suitability. Each was assigned weights based on their relative importance to one another. Superb wind classes are located in high alpine areas. Unfortunately, these areas are not suitable for large-scale wind farm development due to their inaccessibility and location within a sensitive ecosystem. Federal lands have low wind potential. According to the GIS model, ideal areas for wind farm development are located in northeastern Colorado. About 41 850 km{sup 2} of the state has model scores that are in the 90-100% range. Although annual solar radiation varies slightly, inter-mountain areas receive the most insolation. As far as federal lands, Indian reservations have the greatest solar input. The GIS model indicates that ideal areas for solar development are located in northwestern Colorado and east of Denver. Only 191 km{sup 2} of the state had model scores that were in the 90-100% range. These results suggest that the variables used in this analysis have more of an effect at eliminating non-suitable areas for large-scale solar farms; a greater area exists for suitable wind farms. However, given the statewide high insolation values with minimal variance, solar projects may be better suited for small-scale residential or commercial

  14. Multi-criteria evaluation of natural gas resources

    International Nuclear Information System (INIS)

    Afgan, Naim H.; Pilavachi, Petros A.; Carvalho, Maria G.

    2007-01-01

    Geologically estimated natural gas resources are 500 Tcm. With the advance in geological science increase of estimated resources is expected. Natural gas reserves in 2000 have been proved to be around 165 Tcm. As it is known the reserves are subject to two constraints, namely: capital invested in the exploration and drilling technologies used to discover new reserves. The natural gas scarcity factor, i.e. ratio between available reserves and natural gas consumption, is around 300 years for the last 50 years. The new discovery of natural gas reserves has given rise to a new energy strategy based on natural gas. Natural gas utilization is constantly increasing in the last 50 years. With new technologies for deep drilling, we have come to know that there are enormous gas resources available at relatively low price. These new discoveries together with high demand for the environment saving have introduced a new energy strategy on the world scale. This paper presents an evaluation of the potential natural gas utilization in energy sector. As the criteria in this analysis resource, economic, environmental, social and technological indicators are used. Among the potential options of gas utilization following systems are considered: Gas turbine power plant, combine cycle plant, CHP power plant, steam turbine gas-fired power plant, fuel cells power plant. Multi-criteria method was used for the assessment of potential options with priority given to the Resource, Economic and Social Indicators. Results obtained are presented in graphical form representing priority list of potential options under specific constraints in the priority of natural gas utilization strategy in energy sector

  15. Multicriteria methodological approach to manage urban air pollution

    Science.gov (United States)

    Vlachokostas, Ch.; Achillas, Ch.; Moussiopoulos, N.; Banias, G.

    2011-08-01

    Managing urban air pollution necessitates a feasible and efficient abatement strategy which is characterised as a defined set of specific control measures. In practice, hard budget constraints are present in any decision-making process and therefore available alternatives need to be hierarchised in a fast but still reliable manner. Moreover, realistic strategies require adequate information on the available control measures, taking also into account the area's special characteristics. The selection of the most applicable bundle of measures rests in achieving stakeholders' consensus, while taking into consideration mutually conflicting views and criteria. A preliminary qualitative comparison of alternative control measures would be most handy for decision-makers, forming the grounds for an in-depth analysis of the most promising ones. This paper presents an easy-to-follow multicriteria methodological approach in order to include and synthesise multi-disciplinary knowledge from various stakeholders so as to result into a priority list of abatement options, achieve consensus and secure the adoption of the resulting optimal solution. The approach relies on the active involvement of public authorities and local stakeholders in order to incorporate their environmental, economic and social preferences. The methodological scheme is implemented for the case of Thessaloniki, Greece, an area considered among the most polluted cities within Europe, especially with respect to airborne particles. Intense police control, natural gas penetration in buildings and metro construction equally result into the most "promising" alternatives in order to control air pollution in the GTA. The three optimal alternatives belong to different thematic areas, namely road transport, thermal heating and infrastructure. Thus, it is obvious that efforts should spread throughout all thematic areas. Natural gas penetration in industrial units, intense monitoring of environmental standards and regular

  16. 41 CFR 302-2.5 - May I relocate from a location other than the location specified in my relocation travel...

    Science.gov (United States)

    2010-07-01

    ... 41 Public Contracts and Property Management 4 2010-07-01 2010-07-01 false May I relocate from a... Public Contracts and Property Management Federal Travel Regulation System RELOCATION ALLOWANCES INTRODUCTION 2-EMPLOYEES ELIGIBILITY REQUIREMENTS General Rules § 302-2.5 May I relocate from a location other...

  17. High precision relocation of earthquakes at Iliamna Volcano, Alaska

    Science.gov (United States)

    Statz-Boyer, P.; Thurber, C.; Pesicek, J.; Prejean, S.

    2009-01-01

    In August 1996, a period of elevated seismicity commenced beneath Iliamna Volcano, Alaska. This activity lasted until early 1997, consisted of over 3000 earthquakes, and was accompanied by elevated emissions of volcanic gases. No eruption occurred and seismicity returned to background levels where it has remained since. We use waveform alignment with bispectrum-verified cross-correlation and double-difference methods to relocate over 2000 earthquakes from 1996 to 2005 with high precision (~ 100??m). The results of this analysis greatly clarify the distribution of seismic activity, revealing distinct features previously hidden by location scatter. A set of linear earthquake clusters diverges upward and southward from the main group of earthquakes. The events in these linear clusters show a clear southward migration with time. We suggest that these earthquakes represent either a response to degassing of the magma body, circulation of fluids due to exsolution from magma or heating of ground water, or possibly the intrusion of new dikes beneath Iliamna's southern flank. In addition, we speculate that the deeper, somewhat diffuse cluster of seismicity near and south of Iliamna's summit indicates the presence of an underlying magma body between about 2 and 4??km depth below sea level, based on similar features found previously at several other Alaskan volcanoes. ?? 2009 Elsevier B.V.

  18. Sustainability assessment of alternative end-uses for disused areas based on multi-criteria decision-making method.

    Science.gov (United States)

    De Feo, Giovanni; De Gisi, Sabino; De Vita, Sabato; Notarnicola, Michele

    2018-08-01

    The main aim of this study was to define and apply a multidisciplinary and multi-criteria approach to sustainability in evaluating alternative end-uses for disused areas. Taking into account the three pillars of sustainability (social, economic and environmental dimension) as well as the need for stakeholders to have new practical instruments, the innovative approach consists of four modules stated (i) sociological, (ii) economic, (iii) environmental and (iv) multi-criteria assessment. By means of a case study on a small Municipality in Southern Italy, three end-uses alternatives, representing three essential services for citizens, were selected: Municipal gym; Market area; Municipal Solid Waste (MSW) separate collection centre. The sociological module was useful to select the most socially sound alternative by means of a consultative referendum, simulated with the use of a structured questionnaire administered to a sample of the population. The economic evaluation was conducted defining the bill of quantities with regarding to six main items (soil handling, landfill disposal tax, public services, structure and services, completion work, equipment and furnishings). The environmental evaluation was performed applying the Delphi method with local technicians who were involved in a qualitative-quantitative evaluation of the three alternatives with regarding to eight possible environmental impacts (landscape impact, soil handling, odour, traffic, noise, atmospheric pollution, wastewater, waste). Finally, the Simple Additive Weighting was used as multi-criteria technique to define alternatives priorities. The obtained results showed how the multi-criteria analysis is a useful decision support tool able to identify transparently and efficiently the most sustainable solutions to a complex social problem. Copyright © 2018 Elsevier B.V. All rights reserved.

  19. Profitability as a business goal: the multicriteria approach to the ranking of the five largest Croatian banks

    Directory of Open Access Journals (Sweden)

    Višnja Vojvodić Rosenzweig

    2012-01-01

    Full Text Available Background: The ranking of commercial banks is usually based on using a single criterion, the size of assets or income. A multicriteria approach allows a more complex analysis of their business efficiency. Objectives: This paper proposes the ranking of banks based on six financial criteria using a multicriteria approach implementing a goal programming model. The criteria are classified into three basic groups: profitability, credit risk and solvency. Methods/Approach: Business performance is evaluated using a score for each bank, calculated as the weighted sum of relative values of individual indicators. Results: In the process of solving the corresponding goal programming problem, the weights are calculated. It is assumed that the goal of each bank is the highest profitability. Because of the market competition among banks, the weights of indicators depend on the performance of each bank. This method is applied to the five biggest Croatian banks (ZABA, PBZ, ERSTE, RBA and HYPO. Conclusion: For the observed period (2010, the highest priority is given to profitability and then to credit risk. The ranking is achieved by using a multicriteria model.

  20. [Distribution and pollution assessment of heavy metals in soil of relocation areas from the Danjiangkou Reservoir].

    Science.gov (United States)

    Zhang, Lei; Qin, Yan-Wen; Zheng, Bing-Hui; Shi, Yao; Han, Chao-Nan

    2013-01-01

    The aim of this article is to explore the pollution level and potential ecological risk of heavy metals in soil of the relocation areas from the Danjiangkou Reservoir. The contents and spatial distribution of Cd, Pb, Cu, Zn, Cr and As in soil of the relocation areas from the Danjiangkou Reservoir were analyzed. The integrated pollution index and potential ecological risk index were used to evaluate the contamination degree and potential ecological risk of these elements. The results indicated that the average contents of Cd, Pb, Cu, Zn, Cr and As in the samples were 0.61, 23.11, 58.25, 22.65, 58.99 and 16.95 mg x kg(-1), respectively. Compared with the background value of soils from Henan province, all these 6 elements except Zn were enriched to some extent, especially Cd. Similar patterns were observed for the spatial distribution of Cu, Zn, and Pb. Compared with the contents of heavy metals in surface sediments of the typical domestic reservoirs, Cd and As in soil of the relocation areas from the Danjiangkou Reservoir were heavily accumulated. The correlation analysis showed that there were significant positive correlations among Pb, Cu, and Zn. And there was also significant positive correlation between Cr and Pb. In contrast, negative correlation was found between Cr and As. To sum up, the comprehensive assessment results showed that Cd was the primary element with high ecological risk.

  1. Move it or lose it? The ecological ethics of relocating species under climate change.

    Science.gov (United States)

    Minteer, Ben A; Collins, James P

    2010-10-01

    Managed relocation (also known as assisted colonization, assisted migration) is one of the more controversial proposals to emerge in the ecological community in recent years. A conservation strategy involving the translocation of species to novel ecosystems in anticipation of range shifts forced by climate change, managed relocation (MR) has divided many ecologists and conservationists, mostly because of concerns about the potential invasion risk of the relocated species in their new environments. While this is indeed an important consideration in any evaluation of MR, moving species across the landscape in response to predicted climate shifts also raises a number of larger and important ethical and policy challenges that need to be addressed. These include evaluating the implications of a more aggressive approach to species conservation, assessing MR as a broader ecological policy and philosophy that departs from longstanding scientific and management goals focused on preserving ecological integrity, and considering MR within a more comprehensive ethical and policy response to climate change. Given the complexity and novelty of many of the issues at stake in the MR debate, a more dynamic and pragmatic approach to ethical analysis and debate is needed to help ecologists, conservationists, and environmental decision makers come to grips with MR and the emerging ethical challenges of ecological policy and management under global environmental change.

  2. Final hazard classification for N basin water filtration and sediment relocation operations

    International Nuclear Information System (INIS)

    Pisarcik, D.J.; Kretzschmar, S.P.

    1996-02-01

    This document provides an auditable safety analysis and hazard classification for the filtration of basin water and the relocation of 105-N basin solids to the North Cask Pit within the basin complex. This report assesses the operation of the Water Filtration System and the Remotely Operated Sediment Extraction Equipment (ROSEE). These activities have an activity hazard classification of radiological. Inventories of potentially releasable nonradioactive hazardous materials are far below the reportable quantities of 40 CFR 302. No controls are required to maintain the releasable inventories of these materials below the reportable quantities. Descriptive material is included to provide a general understanding of the water filtration and sediment relocation processes. All equipment will be operated as described in work instructions and/or applicable procedures. Special controls associated with these activities are as follows: (1) A leak inspection of the ROSEE system shall be performed at least once every 5-hour period of sediment relocation operation. (2) A berm must be in place around the North Cask Pit to redirect a potential abovewater ROSEE system leak back to the basin

  3. Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices.

    Science.gov (United States)

    Boutkhoum, Omar; Hanine, Mohamed; Boukhriss, Hicham; Agouti, Tarik; Tikniouine, Abdessadek

    2016-01-01

    At present, environmental issues become real critical barriers for many supply chain corporations concerning the sustainability of their businesses. In this context, several studies have been proposed from both academia and industry trying to develop new measurements related to green supply chain management (GSCM) practices to overcome these barriers, which will help create new environmental strategies, implementing those practices in their manufacturing processes. The objective of this study is to present the technical and analytical contribution that multi-criteria decision making analysis (MCDA) can bring to environmental decision making problems, and especially to GSCM field. For this reason, a multi-criteria decision-making methodology, combining fuzzy analytical hierarchy process and fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS), is proposed to contribute to a better understanding of new sustainable strategies through the identification and evaluation of the most appropriate GSCM practices to be adopted by industrial organizations. The fuzzy AHP process is used to construct hierarchies of the influential criteria, and then identify the importance weights of the selected criteria, while the fuzzy TOPSIS process employs these weighted criteria as inputs to evaluate and measure the performance of each alternative. To illustrate the effectiveness and performance of our MCDA approach, we have applied it to a chemical industry corporation located in Safi, Morocco.

  4. Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method

    International Nuclear Information System (INIS)

    Zhang, Ling; Zhou, Peng; Newton, Sidney; Fang, Jian-xin; Zhou, De-qun; Zhang, Lu-ping

    2015-01-01

    Promoting the utilization of clean energy has been identified as one potential solution to addressing environmental pollution and achieving sustainable development in many countries around the world. Evaluating clean energy alternatives includes a requirement to balance multiple conflict criteria, including technology, environment, economy and society, all of which are incommensurate and interdependent. Traditional MCDM (multi-criteria decision making) methods, such as the weighted average method, often fail to aggregate such criteria consistently. In this paper, an improved MCDM method based on fuzzy measure and integral is developed and applied to evaluate four primary clean energy options for Jiangsu Province, China. The results confirm that the preferred clean energy option for Jiangsu is solar photovoltaic, followed by wind, biomass and finally nuclear. A sensitivity analysis is also conducted to evaluate the values of clean energy resources for Jiangsu. The ordered weighted average method is also applied to compare the method mentioned above in our empirical study. The results show that the improved MCDM method provides higher discrimination between alternative clean energy alternatives. - Highlights: • Interactions among evaluation criteria of clean energy resources are taken into account. • An improved multi-criteria decision making (MCDM) method is proposed based on entropy weight method, fuzzy measure and integral. • Clean energy resources of Jiangsu are evaluated with the improved MCDM method, and their ranks are identified.

  5. Use of Multicriteria Valuation of Spatial Units in a System of Mass Real Estate Valuation

    Directory of Open Access Journals (Sweden)

    Miroslav Kuburić

    2012-05-01

    Full Text Available A model of mass valuation at the national level must be functional, practically applicable, consistent and adaptable to actual conditions and real estate market trends. A consideration of the influence of location on real estate value in a spatial unit, and a description of spatial units with a sufficient number of attributes to determine a connection between the value of these attributes and the average price of real estate in a spatial unit, are important tasks in modelling a system of mass real estate valuation. This paper, based on a test implementation of mass real estate valuation for an area covering a number of municipalities in the Republic of Serbia, offers conclusions on the suitability of the use of a mass valuation method grounded in the principles of logical aggregation and case based reasoning. The values of location characteristics, or factors of spatial unit valuation, were determined in spatial analyses employing GIS, according to an established system of multicriteria valuation. This approach ensures that a model-defined value is not stored as offline data, but that each time such data is needed, it can be determined following the proposed methodology, based on actual, updated data from the databases of official spatial data registries. Prior to this, it is necessary to meet all the required prerequisites, which include the distributed databases of official real estate data registries and other factors needed in the mass valuation procedure. Keywords: real estate valuation; spatial units; multicriteria analysis

  6. Prioritization of water management under climate change and urbanization using multi-criteria decision making methods

    Directory of Open Access Journals (Sweden)

    J.-S. Yang

    2012-03-01

    Full Text Available This paper quantifies the transformed effectiveness of alternatives for watershed management caused by climate change and urbanization and prioritizes five options using multi-criteria decision making techniques. The climate change scenarios (A1B and A2 were obtained by using a statistical downscaling model (SDSM, and the urbanization scenario by surveying the existing urban planning. The flow and biochemical oxygen demand (BOD concentration duration curves were derived, and the numbers of days required to satisfy the environmental flow requirement and the target BOD concentration were counted using the Hydrological Simulation Program-Fortran (HSPF model. In addition, five feasible alternatives were prioritized by using multi-criteria decision making techniques, based on the driving force-pressure-state-impact-response (DPSIR framework and cost component. Finally, a sensitivity analysis approach for MCDM methods was conducted to reduce the uncertainty of weights. The result indicates that the most sensitive decision criterion is cost, followed by criteria response, driving force, impact, state and pressure in that order. As it is certain that the importance of cost component is over 0.127, construction of a small wastewater treatment plant will be the most preferred alternative in this application.

  7. HOSPITAL SITE SELECTION USING TWO-STAGE FUZZY MULTI-CRITERIA DECISION MAKING PROCESS

    Directory of Open Access Journals (Sweden)

    Ali Soltani

    2011-06-01

    Full Text Available Site selection for sitting of urban activities/facilities is one of the crucial policy-related decisions taken by urban planners and policy makers. The process of site selection is inherently complicated. A careless site imposes exorbitant costs on city budget and damages the environment inevitably. Nowadays, multi-attributes decision making approaches are suggested to use to improve precision of decision making and reduce surplus side effects. Two well-known techniques, analytical hierarchal process and analytical network process are among multi-criteria decision making systems which can easily be consistent with both quantitative and qualitative criteria. These are also developed to be fuzzy analytical hierarchal process and fuzzy analytical network process systems which are capable of accommodating inherent uncertainty and vagueness in multi-criteria decision-making. This paper reports the process and results of a hospital site selection within the Region 5 of Shiraz metropolitan area, Iran using integrated fuzzy analytical network process systems with Geographic Information System (GIS. The weights of the alternatives were calculated using fuzzy analytical network process. Then a sensitivity analysis was conducted to measure the elasticity of a decision in regards to different criteria. This study contributes to planning practice by suggesting a more comprehensive decision making tool for site selection.

  8. HOSPITAL SITE SELECTION USING TWO-STAGE FUZZY MULTI-CRITERIA DECISION MAKING PROCESS

    Directory of Open Access Journals (Sweden)

    Ali Soltani

    2011-01-01

    Full Text Available Site selection for sitting of urban activities/facilities is one of the crucial policy-related decisions taken by urban planners and policy makers. The process of site selection is inherently complicated. A careless site imposes exorbitant costs on city budget and damages the environment inevitably. Nowadays, multi-attributes decision making approaches are suggested to use to improve precision of decision making and reduce surplus side effects. Two well-known techniques, analytical hierarchal process and analytical network process are among multi-criteria decision making systems which can easily be consistent with both quantitative and qualitative criteria. These are also developed to be fuzzy analytical hierarchal process and fuzzy analytical network process systems which are capable of accommodating inherent uncertainty and vagueness in multi-criteria decision-making. This paper reports the process and results of a hospital site selection within the Region 5 of Shiraz metropolitan area, Iran using integrated fuzzy analytical network process systems with Geographic Information System (GIS. The weights of the alternatives were calculated using fuzzy analytical network process. Then a sensitivity analysis was conducted to measure the elasticity of a decision in regards to different criteria. This study contributes to planning practice by suggesting a more comprehensive decision making tool for site selection.

  9. Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework

    Science.gov (United States)

    Afsordegan, A.; Sánchez, M.; Agell, N.; Aguado, J. C.; Gamboa, G.

    2016-03-01

    A social multi-criteria evaluation framework for solving a real-case problem of selecting a wind farm location in the regions of Urgell and Conca de Barberá in Catalonia (northeast of Spain) is studied. This paper applies a qualitative multi-criteria decision analysis approach based on linguistic labels assessment able to address uncertainty and deal with different levels of precision. This method is based on qualitative reasoning as an artificial intelligence technique for assessing and ranking multi-attribute alternatives with linguistic labels in order to handle uncertainty. This method is suitable for problems in the social framework such as energy planning which require the construction of a dialogue process among many social actors with high level of complexity and uncertainty. The method is compared with an existing approach, which has been applied previously in the wind farm location problem. This approach, consisting of an outranking method, is based on Condorcet's original method. The results obtained by both approaches are analysed and their performance in the selection of the wind farm location is compared in aggregation procedures. Although results show that both methods conduct to similar alternatives rankings, the study highlights both their advantages and drawbacks.

  10. Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates

    International Nuclear Information System (INIS)

    Jayaraman, Raja; Colapinto, Cinzia; Torre, Davide La; Malik, Tufail

    2015-01-01

    Sustainable development requires implementing suitable policies integrating several competing objectives on economic, environmental, energy and social criteria. Multi-Criteria Decision Analysis (MCDA) using goal programming is a popular and widely used technique to study decision problems in the face of multiple conflicting objectives. MCDA assists policy makers by providing clarity in choosing between alternatives for strategic planning and investments. In this paper, we propose a weighted goal programming model that integrates efficient allocation of resources to simultaneously achieve sustainability related goals on GDP growth, electricity consumption and GHG emissions. We validate the model with application to key economic sectors of the United Arab Emirates to achieve sustainable development goals by the year 2030. The model solution provides a quantitative justification and a basis for comparison in planning future energy requirements and an indispensable requirement to include renewable sources to satisfy long-term energy requirements. - Highlights: • Multi-criteria model for achieving sustainability goals by year 2030. • Integrates criteria on electricity, GDP, GHG emissions for optimal labor allocation. • Future electricity demand requires contribution from renewable sources • Enables planning for long term investments towards energy sustainability.

  11. Utility Function for modeling Group Multicriteria Decision Making problems as games

    OpenAIRE

    Alexandre Bevilacqua Leoneti

    2016-01-01

    To assist in the decision making process, several multicriteria methods have been proposed. However, the existing methods assume a single decision-maker and do not consider decision under risk, which is better addressed by Game Theory. Hence, the aim of this research is to propose a Utility Function that makes it possible to model Group Multicriteria Decision Making problems as games. The advantage of using Game Theory for solving Group Multicriteria Decision Making problems is to evaluate th...

  12. Multicriteria decision group model for the selection of suppliers

    Directory of Open Access Journals (Sweden)

    Luciana Hazin Alencar

    2008-08-01

    Full Text Available Several authors have been studying group decision making over the years, which indicates how relevant it is. This paper presents a multicriteria group decision model based on ELECTRE IV and VIP Analysis methods, to those cases where there is great divergence among the decision makers. This model includes two stages. In the first, the ELECTRE IV method is applied and a collective criteria ranking is obtained. In the second, using criteria ranking, VIP Analysis is applied and the alternatives are selected. To illustrate the model, a numerical application in the context of the selection of suppliers in project management is used. The suppliers that form part of the project team have a crucial role in project management. They are involved in a network of connected activities that can jeopardize the success of the project, if they are not undertaken in an appropriate way. The question tackled is how to select service suppliers for a project on behalf of an enterprise that assists the multiple objectives of the decision-makers.Vários autores têm estudado decisão em grupo nos últimos anos, o que indica a relevância do assunto. Esse artigo apresenta um modelo multicritério de decisão em grupo baseado nos métodos ELECTRE IV e VIP Analysis, adequado aos casos em que se tem uma grande divergência entre os decisores. Esse modelo é composto por dois estágios. No primeiro, o método ELECTRE IV é aplicado e uma ordenação dos critérios é obtida. No próximo estágio, com a ordenação dos critérios, o método VIP Analysis é aplicado e as alternativas são selecionadas. Para ilustrar o modelo, uma aplicação numérica no contexto da seleção de fornecedores em projetos é realizada. Os fornecedores que fazem parte da equipe do projeto têm um papel fundamental no gerenciamento de projetos. Eles estão envolvidos em uma rede de atividades conectadas que, caso não sejam executadas de forma apropriada, podem colocar em risco o sucesso do

  13. Environmental assessment for relocation of NREL research experiments

    International Nuclear Information System (INIS)

    1992-06-01

    In compliance with the National Environmental Policy Act (NEPA), the Department of Energy (DOE) has prepared this environmental assessment (DOE/EA-0619) to evaluate the environmental consequences associated with the conduct of ongoing research activities of its National Renewable Energy Laboratory proposed to be relocated to leased commercial laboratory and warehouse space at 6800 Joyce Sum, in Arvada, Colorado. NREL is currently leasing space in Golden, Colorado, for conduct of the research actions discussed in the EA. The research project proposed for relocation is the Amorphous silicon Deposition Laboratory (ASDL). Additionally, it may be financially desirable to relocate the Scanning Hartman Optical Tester (SHOT) and the Whole Building Test Facility at a later date, therefore, the consequences of their operation at the proposed facility is evaluated in the EA to support such future decisions. The new location can also provide additional warehouse space required by NREL

  14. Factors and aspects of the relocation strategies of companies

    Directory of Open Access Journals (Sweden)

    Serghei Margulescu

    2013-05-01

    Full Text Available In the last two decades there have been significant changes in the factors that determine the geographic location or relocation of R &D, production and marketing of all transnational companies. Supply chains have expanded to new areas of the globe and big traditional providers have also expanded their global presence by an increasing trend of co-localization with their main customers. Contract manufacturers have multiplied and strengthened, expanding their geographical distribution. A more obvious trend was that of the geographic dispersion of other global value chain functions such as business services and logistics support functions. Relocation to countries with cheap labor is not always a successful strategy. Therefore the decision to relocate in international geographical area, regardless of the structure formula, offshoring or outsourcing, must be based on a more diverse set of factors.

  15. Performance Evaluation of Resilience using Service Relocation for GMPLS Networks

    DEFF Research Database (Denmark)

    Wessing, Henrik; Herrmann, Sven; Ruepp, Sarah Renée

    2015-01-01

    Cloud computing today represents an ever increasing part of the data exchanged over the Internet. This influences the core network, where the special properties of cloud based services can be leveraged to increase the network efficiency. This paper explores the concept of relocation for the backup...... path when providing resiliency to cloud services in the network. The control plane of a GMPLSenabled optical network is simulated, thus evaluating the proposed Path Computation Element architecture for service relocation. The results show that for increased offered traffic in the network, the overall...

  16. Rough set and rule-based multicriteria decision aiding

    Directory of Open Access Journals (Sweden)

    Roman Slowinski

    2012-08-01

    Full Text Available The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a set of objects evaluated from multiple points of view called criteria. Since a rational decision maker acts with respect to his/her value system, in order to recommend the most-preferred decision, one must identify decision maker's preferences. In this paper, we focus on preference discovery from data concerning some past decisions of the decision maker. We consider the preference model in the form of a set of "if..., then..." decision rules discovered from the data by inductive learning. To structure the data prior to induction of rules, we use the Dominance-based Rough Set Approach (DRSA. DRSA is a methodology for reasoning about data, which handles ordinal evaluations of objects on considered criteria and monotonic relationships between these evaluations and the decision. We review applications of DRSA to a large variety of multicriteria decision problems.

  17. Fully Realistic Multi-Criteria Multi-Modal Routing

    OpenAIRE

    Gündling, Felix; Keyhani, Mohammad Hossein; Schnee, Mathias; Weihe, Karsten

    2014-01-01

    We report on a multi-criteria search system, in which the German long- and short-distance trains, local public transport, walking, private car, private bike, and taxi are incorporated. The system is fully realistic. Three optimization criteria are addressed: travel time, travel cost, and convenience. Our algorithmic approach computes a complete Pareto set of reasonable connections. The computational study demonstrates that, even in such a large-scale, highly complex scenario, approp...

  18. Motivations for active commuting: a qualitative investigation of the period of home or work relocation.

    Science.gov (United States)

    Jones, Caroline H D; Ogilvie, David

    2012-09-11

    Promoting walking or cycling to work (active commuting) could help to increase population physical activity levels. According to the habit discontinuity and residential self-selection hypotheses, moving home or workplace is a period when people (re)assess, and may be more likely to change, their travel behavior. Research in this area is dominated by the use of quantitative research methods, but qualitative approaches can provide in-depth insight into the experiences and processes of travel behavior change. This qualitative study aimed to explore experiences and motivations regarding travel behavior around the period of relocation, in an effort to understand how active commuting might be promoted more effectively. Participants were recruited from the Commuting and Health in Cambridge study cohort in the UK. Commuters who had moved home, workplace or both between 2009 and 2010 were identified, and a purposive sample was invited to participate in semi-structured interviews regarding their experiences of, and travel behavior before and after, relocating. A grounded theory approach was taken to analysis. Twenty-six commuters participated. Participants were motivated by convenience, speed, cost and reliability when selecting modes of travel for commuting. Physical activity was not a primary motivation, but incidental increases in physical activity were described and valued in association with active commuting, the use of public transport and the use of park-and-ride facilities. Emphasizing and improving the relative convenience, cost, speed and reliability of active commuting may be a more promising approach to promoting its uptake than emphasizing the health benefits, at least around the time of relocation. Providing good quality public transport and free car parking within walking or cycling distance of major employment sites may encourage the inclusion of active travel in the journey to work, particularly for people who live too far from work to walk or cycle the

  19. Motivations for active commuting: a qualitative investigation of the period of home or work relocation

    Directory of Open Access Journals (Sweden)

    Jones Caroline HD

    2012-09-01

    Full Text Available Abstract Background Promoting walking or cycling to work (active commuting could help to increase population physical activity levels. According to the habit discontinuity and residential self-selection hypotheses, moving home or workplace is a period when people (reassess, and may be more likely to change, their travel behavior. Research in this area is dominated by the use of quantitative research methods, but qualitative approaches can provide in-depth insight into the experiences and processes of travel behavior change. This qualitative study aimed to explore experiences and motivations regarding travel behavior around the period of relocation, in an effort to understand how active commuting might be promoted more effectively. Methods Participants were recruited from the Commuting and Health in Cambridge study cohort in the UK. Commuters who had moved home, workplace or both between 2009 and 2010 were identified, and a purposive sample was invited to participate in semi-structured interviews regarding their experiences of, and travel behavior before and after, relocating. A grounded theory approach was taken to analysis. Results Twenty-six commuters participated. Participants were motivated by convenience, speed, cost and reliability when selecting modes of travel for commuting. Physical activity was not a primary motivation, but incidental increases in physical activity were described and valued in association with active commuting, the use of public transport and the use of park-and-ride facilities. Conclusions Emphasizing and improving the relative convenience, cost, speed and reliability of active commuting may be a more promising approach to promoting its uptake than emphasizing the health benefits, at least around the time of relocation. Providing good quality public transport and free car parking within walking or cycling distance of major employment sites may encourage the inclusion of active travel in the journey to work

  20. A multicriteria approach to identify investment opportunities for the exploitation of the clean development mechanism

    International Nuclear Information System (INIS)

    Diakoulaki, D.; Georgiou, P.; Tourkolias, C.; Georgopoulou, E.; Lalas, D.; Mirasgedis, S.; Sarafidis, Y.

    2007-01-01

    The aim of the present paper is to investigate the prospects for the exploitation of the Kyoto Protocol's Clean Development Mechanism (CDM) in Greece. The paper is addressing 3 questions: in which country, what kind of investment, with which economic and environmental return? The proposed approach is based on a multicriteria analysis for identifying priority countries and interesting investment opportunities in each priority country. These opportunities are then evaluated through a conventional financial analysis in order to assess their economic and environmental attractiveness. To this purpose, the IRR of a typical project in each investment category is calculated by taking into account country-specific parameters, such as baseline emission factors, load factors, costs, energy prices etc. The results reveal substantial differences in the economic and environmental return of different types of projects in different host-countries and show that for the full exploitation of the CDM a multifaceted approach to decision-making is necessary

  1. THE DOMAINS FOR THE MULTI-CRITERIA DECISIONS ABOUT E-LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Murat Pasa UYSAL

    2012-04-01

    Full Text Available Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their analysis needs systematic and structured guidance to lead to better decisions. Multi-Criteria Decision Analysis (MCDA techniques are applicable in instructional technology-related research areas as well as in other academic disciplines. In this study, a conceptual domain model and a decision activity framework is proposed for E-learning systems. Instructional, technological, and administrative decision domains are included in this model. Finally, an illustrative example is given to show that AHP is an effective MCDA method for E-learning-related decisions.

  2. 48 CFR 31.205-35 - Relocation costs.

    Science.gov (United States)

    2010-10-01

    ... employees retain ownership of a vacated home in the old location and rent at the new location. The rented... work location (for a period of 12 months or more) of an existing employee or upon recruitment of a new employee. The following types of relocation costs are allowable as noted, subject to the limitations in...

  3. Gender differences in the family-relatedness of relocation decisions

    NARCIS (Netherlands)

    Ullrich, J.; Pluut, Helen; Büttgen, M.

    2015-01-01

    Using a dyadic study design, the present study draws on research into the family-relatedness of work decisions to examine the impact of the spouse's characteristics on an employee's willingness to engage in job-related relocation. With a sample of 1234 employees, the results show that spousal

  4. 5 CFR 575.209 - Payment of relocation incentives.

    Science.gov (United States)

    2010-01-01

    ... pay periods equals 546 days, and 546 days divided by 365 days equals 1.50 years. (c)(1) An authorized... pay a relocation incentive— (1) As an initial lump-sum payment at the commencement of the service... employee in a service period may not exceed 25 percent of the annual rate of basic pay of the employee at...

  5. Relocation due to Climate Change: Mapping the Divergent Responses of the Governments of Tuvalu and Kiribati

    Science.gov (United States)

    McNamara, K. E.; Hemstock, S.; Smith, R.; Holland, E. A.

    2012-12-01

    have chosen very different pathways for responding to climate change and future losses to coastal public infrastructure and the potential inability to sustain coastal livelihoods and settlements in the future. For Tuvalu, relocation as a result of climate change is seen as an option of last resort with rights to land and culture the paramount discourse (McNamara and Gibson, 2009). This position is bound up in people's connection to place and what this means for identity, culture, spirituality and psychosocial well-being (Mortreux and Barnett, 2009). Willi Telavi, the Prime Minister of Tuvalu, argues that their concern about relocation is the loss of sovereignty. On the other hand, Kiribati is planning for staggered international migration 'on merit', backed by a government policy to re-train its people to migrate in the future to Fiji, New Zealand and Australia. In line with this policy, the Kiribati Government has recently purchased 5,000 acres of land in Savusavu, Fiji. Mapping these divergent strategies, through an analysis of government policies and interviews with officials, provides scope to understand the driving forces behind these positions, and importantly, debate the merits and pitfalls of both adaptation and relocation as approaches to ensure the future security and sustainability of low-lying coastal communities in the Pacific.

  6. Evaluation of relocation of unionid mussels into artificial ponds

    Science.gov (United States)

    Newton, T.J.; Monroe, E.M.; Kenyon, R.; Gutreuter, S.; Welke, K.I.; Thiel, P.A.

    2001-01-01

    Relocation of unionid mussels into refuges (e.g., hatchery ponds) has been suggested as a management tool to protect these animals from the threat of zebra mussel (Dreissena polymorpha) invasion. To evaluate the efficacy of relocation, we experimentally relocated 768 mussels, representing 5 species (Leptodea fragilis, Obliquaria reflexa, Fusconaia flava, Amblema plicata, and Quadrula quadrula) into an earthen pond at a National Fish Hatchery or back into the river. In both locations, mussels were placed into 1 of 4 treatments (mesh bags, corrals, and buried or suspended substrate-filled trays). Mussels were examined annually for survival, growth (shell length and wet mass), and physiological condition (glycogen concentration in foot and mantle and tissue condition index) for 36 mo in the pond or 40 mo in the river. We observed significant differences in mortality rates between locations (mortality was 4 times greater in the pond than in the river), among treatments (lowest mortality in the suspended trays), and among species (lower mortality in the amblemines than lamp-silines). Overall survival in both locations averaged 80% the 1st year; survival in the pond decreased dramatically after that. Although length and weight varied between locations and over time, these changes were small, suggesting that their utility as short-term measures of well being in long-lived unionids is questionable. Mussels relocated to the pond were in poor physiological condition relative to those in the river, but the magnitude of these differences was small compared to the inherent variability in physiological condition of reference mussels. These data suggest that relocation of unionids into artificial ponds is a high-risk conservation strategy; alternatives such as introduction of infected host fish, identification of mussel beds at greatest risk from zebra mussels, and a critical, large-scale assessment of the factors contributing to their decline should be explored.

  7. Evaluation of freshwater mussel relocation as a conservation and management strategy

    Science.gov (United States)

    Cope, W. Gregory; Waller, Diane L.

    1995-01-01

    The relocation of unionacean mussels is commonly used as a conservation and management tool in large rivers and streams. Relocation has been used to recolonize areas where mussel populations have been eliminated by prior pollution events, to remove mussels from construction zones and to re-establish populations of endangered species. More recently, relocation has been used to protect native freshwater mussels from colonization by the exotic zebra mussel Dreissena polymorpha. We conducted a literature review of mussel relocations and evaluated their relative success as a conservation and management strategy. We found that 43% of all relocations were conducted because of construction projects that were forced to comply with the Endangered Species Act 1973 and that only 16% were monitored for five or more consecutive years. Most (43%) relocation projects were conducted from July to September, presumably a period when reproductive stress is relatively low for most species and the metabolic rate is sufficient for reburrowing in the substrate. The mortality of relocated mussels was unreported in 27% of projects; reported mortality varied widely among projects and species and was difficult to assess. The mean mortality of relocated mussels was 49% based on an average recovery rate of 43%. There is little guidance on the methods for relocation or for monitoring the subsequent long-term status of relocated mussels. Based on this evaluation, research is needed to develop criteria for selecting a suitable relocation site and to establish appropriate methods and guidelines for conducting relocation projects.

  8. 24 CFR 570.210 - Prohibition on use of assistance for employment relocation activities.

    Science.gov (United States)

    2010-04-01

    ... relocation activities. (a) Prohibition. CDBG funds may not be used to directly assist a business, including a business expansion, in the relocation of a plant, facility, or operation from one LMA to another LMA if the... business to undertake one or more of these activities as a condition of the business relocating a facility...

  9. 24 CFR 1003.209 - Prohibition on use of assistance for employment relocation activities.

    Science.gov (United States)

    2010-04-01

    ... employment relocation activities. (a) Prohibition. ICDBG funds may not be used to directly assist a business, including a business expansion, in the relocation of a plant, facility, or operation from one Identified... business to undertake one or more of these activities as a condition of the business relocating a facility...

  10. Multi-criteria decision making--an approach to setting priorities in health care.

    Science.gov (United States)

    Nobre, F F; Trotta, L T; Gomes, L F

    1999-12-15

    The objective of this paper is to present a multi-criteria decision making (MCDM) approach to support public health decision making that takes into consideration the fuzziness of the decision goals and the behavioural aspect of the decision maker. The approach is used to analyse the process of health technology procurement in a University Hospital in Rio de Janeiro, Brazil. The method, known as TODIM, relies on evaluating alternatives with a set of decision criteria assessed using an ordinal scale. Fuzziness in generating criteria scores and weights or conflicts caused by dealing with different viewpoints of a group of decision makers (DMs) are solved using fuzzy set aggregation rules. The results suggested that MCDM models, incorporating fuzzy set approaches, should form a set of tools for public health decision making analysis, particularly when there are polarized opinions and conflicting objectives from the DM group. Copyright 1999 John Wiley & Sons, Ltd.

  11. Multi-criteria evaluation of sources for self-help domestic water supply

    Science.gov (United States)

    Nnaji, C. C.; Banigo, A.

    2018-03-01

    Two multi-criteria decision analysis methods were employed to evaluate six water sources. The analytical hierarchical process (AHP) ranked borehole highest with a rank of 0.321 followed by water board with a rank of 0.284. The other sources ranked far below these two as follows: water tanker (0.139), rainwater harvesting (0.117), shallow well (0.114) and stream (0.130). The Technique for Order Performance by Similarity to the Ideal Solution (TOPSIS) ranked water board highest with a rank of 0.865, followed by borehole with a value of 0.778. Quality and risk of contamination were found to be the most influential criteria while seasonality was the least.

  12. A Multi-Criteria Approach to Dry Port Location in Developing Economies with Application to Vietnam

    Directory of Open Access Journals (Sweden)

    Lam Canh Nguyen

    2016-03-01

    Full Text Available This paper presents a conceptual framework for the inclusion of multiple criteria in the evaluation of dry port location in developing countries from a multiple stakeholder perspective. We present the framework in four steps. The first step encompasses preliminary research to filter the alternative locations for dry port development. In the second step, the stakeholders are clustered in three groups: dry port users, dry port service providers and the wider community. Then, we present the sub-criteria related to dry port location including the associated measuring methods. The third step includes an explanation on the methods used for weighing these criteria and sub-criteria. A multi-criteria analysis is carried out in the final step. We apply the methodological framework to Vietnam. The location of a new dry port project in Vinh Phuc province will be evaluated against two existing inland clearance depots (ICD in Lao Cai and Phu Tho province.

  13. Integrating GIS with fuzzy multi-criteria decision making for suitable wind farm locations

    Energy Technology Data Exchange (ETDEWEB)

    Iyappan, L.; Pandian, P.K. [Tagore Engineering College. Dept. of Civil Engineering, Tamil Nadu (India)

    2012-07-01

    Wind Energy is spatial in nature and the degree of potential wind farm locations are fuzzy i.e., the boundaries among highly, moderate and least suitable is not clear cut. The study area of this research covers entire taluk of Tirumangalam, Madurai District (India). In this study, to help wind energy companies, policy-makers and investors in evaluating potential wind farm locations in the Tirumangalam Taluk (Tamil Nadu, India), an adaptation of a Geographical Information System (GIS) and Fuzzy Multi-criteria Decision Making(FMDM) approach is attended. The entire processes were completed by using open source GIS software (Quantum GIS and GRASS GIS) with help of freely available data. The software tool takes inputs such as wind power density, Slope, Transmission lines, environmental factors, and economic factors to provide an in-depth analysis for suitable location options. (Author)

  14. Linguistic hesitant fuzzy multi-criteria decision-making method based on evidential reasoning

    Science.gov (United States)

    Zhou, Huan; Wang, Jian-qiang; Zhang, Hong-yu; Chen, Xiao-hong

    2016-01-01

    Linguistic hesitant fuzzy sets (LHFSs), which can be used to represent decision-makers' qualitative preferences as well as reflect their hesitancy and inconsistency, have attracted a great deal of attention due to their flexibility and efficiency. This paper focuses on a multi-criteria decision-making approach that combines LHFSs with the evidential reasoning (ER) method. After reviewing existing studies of LHFSs, a new order relationship and Hamming distance between LHFSs are introduced and some linguistic scale functions are applied. Then, the ER algorithm is used to aggregate the distributed assessment of each alternative. Subsequently, the set of aggregated alternatives on criteria are further aggregated to get the overall value of each alternative. Furthermore, a nonlinear programming model is developed and genetic algorithms are used to obtain the optimal weights of the criteria. Finally, two illustrative examples are provided to show the feasibility and usability of the method, and comparison analysis with the existing method is made.

  15. A model for selecting project team members using multicriteria group decision making