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Sample records for fuzzy multi-criteria decision

  1. An Enhanced Fuzzy Multi Criteria Decision Making Model with A proposed Polygon Fuzzy Number

    Directory of Open Access Journals (Sweden)

    Samah Bekheet

    2014-06-01

    Full Text Available Decisions in real world applications are often made under the presence of conflicting, uncertain, incomplete and imprecise information. Fuzzy multi Criteria Decision making (FMCDM approach provides a powerful approach for drawing rational decisions under uncertainty given in the form of linguistic values. Linguistic values are usually represented as fuzzy numbers. Most of researchers adopt either triangle or trapezoidal fuzzy numbers. Since triangle, intervals, and even singleton are special cases of Trapezoidal fuzzy numbers, so, for most researchers Trapezoidal fuzzy numbers are considered Generalized fuzzy numbers (GFN. In this paper, we introduce polygon fuzzy number (PFN as the actual form of GFN. The proposed form of PFN provides higher flexibility to decision makers to express their own linguistic rather than other form of fuzzy numbers. The given illustrative example ensures such ability for better handling of the FMCDM problems.

  2. A new web-based framework development for fuzzy multi-criteria group decision-making.

    Science.gov (United States)

    Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik

    2016-01-01

    Fuzzy multi-criteria group decision making (FMCGDM) process is usually used when a group of decision-makers faces imprecise data or linguistic variables to solve the problems. However, this process contains many methods that require many time-consuming calculations depending on the number of criteria, alternatives and decision-makers in order to reach the optimal solution. In this study, a web-based FMCGDM framework that offers decision-makers a fast and reliable response service is proposed. The proposed framework includes commonly used tools for multi-criteria decision-making problems such as fuzzy Delphi, fuzzy AHP and fuzzy TOPSIS methods. The integration of these methods enables taking advantages of the strengths and complements each method's weakness. Finally, a case study of location selection for landfill waste in Morocco is performed to demonstrate how this framework can facilitate decision-making process. The results demonstrate that the proposed framework can successfully accomplish the goal of this study.

  3. Evaluation of Cloud Services: A Fuzzy Multi-Criteria Group Decision Making Method

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    Santoso Wibowo

    2016-12-01

    Full Text Available This paper presents a fuzzy multi-criteria group decision making method for evaluating the performance of Cloud services in an uncertain environment. Intuitionistic fuzzy numbers are used to better model the subjectivity and imprecision in the performance evaluation process. An effective algorithm is developed based on the technique for order preference by similarity to the ideal solution and the Choquet integral operator for adequately solving the performance evaluation problem. An example is presented for demonstrating the applicability of the proposed method for solving the multi-criteria group decision making problem in real situations.

  4. Multi-criteria group decision making with fuzzy data:an extension of the VIKOR method

    Institute of Scientific and Technical Information of China (English)

    Wenqi Jiang; Jennifer Shang

    2015-01-01

    The VIKOR method is a multi-criteria decision making aid, which employs linear normalization to offer compromise solu-tions and has been successful y applied to various group decision making problems. However, the conventional VIKOR techniques used to integrate group judgments and the information loss arising from defuzzification are problematic and distort final outcomes. An improved integration method, which is optimization-based, is proposed. And it can handle fuzzy criteria values and weights. The precondition for accurately defuzzifying triangular fuzzy num-bers is identified. Several effective defuzzification procedures are proposed to improve the extant VIKOR, and a comprehensive evaluation framework is offered to aid multi-criteria group decision making. Final y, a numerical example is provided to il ustrate the practicability of the proposed method.

  5. HOSPITAL SITE SELECTION USING TWO-STAGE FUZZY MULTI-CRITERIA DECISION MAKING PROCESS

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    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.

  6. 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.

  7. An Integrated Intuitionistic Fuzzy Multi Criteria Decision Making Method for Facility Location Selection

    OpenAIRE

    BORAN, Fatih

    2011-01-01

    The facility location selection, which is one of the important activities in strategic planning for a wide range of private and public companies, is a multi-criteria decision making problem including both quantitative and qualitative criteria. Traditional methods for facility location selection can not be effectively handled because information can not be represented by precise information under many conditions. This paper proposes the integration of intuitionistic fuzzy preference relation a...

  8. Intuitionistic fuzzy entropy and distance measure based TOPSIS method for multi-criteria decision making

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    Deepa Joshi

    2014-07-01

    Full Text Available In this paper, an intuitionistic fuzzy TOPSIS method for multi-criteria decision making (MCDM problem to rank the alternatives is proposed. The proposed method is based on distance measure and intuitionistic fuzzy entropy. The proposed method also uses conversion theorem to convert fuzzy set to intuitionistic fuzzy set given by Jurio et al. (2010. A real case study is taken as an example to find the ranking of four organizations: Bajaj steel, H.D.F.C. bank, Tata steel and Infotech enterprises using real data. In order to compare the different rankingS, they are applied in a portfolio selection problem. Different portfolios are constructed and are analyzed for their risk and return. It is observed that if the portfolios are constructed using the ranking obtained with proposed method, the return is increased with slight increment in risk.

  9. A multi-criteria decision-making approach that combines fuzzy TOPSIS and DEA methodologies

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    Taylan, Osman

    2014-11-01

    Full Text Available Employee selection is a multi-criteria decision-making (MCDM problem for selecting suitable applicants from a ready pool. The selection aims to make use of their knowledge, relevant skills, and other characteristics to perform a specific job. The aim of this study is to develop a systematic approach for selecting the best candidates among the air traffic controllers (ATCs for aviation in Saudi Arabia. Three integrated methods were employed for decision-making in this study. First, a fuzzy decision tree was applied to determine the criteria weights, then the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS was employed to rank the attributes. In the last step, the Data Envelopment Analysis (DEA was used to transform the qualitative variables into quantitative equivalences. A survey was conducted by national and international decision- makers to elicit the necessary information on the criteria and sub-criteria of the air traffic control system. The decision problem was formulated by employing five criteria and ten applicants. The relationship between the fuzzy TOPSIS and fuzzy-weighted average was very positive for decision-making. The outcomes of the fuzzy TOPSIS and DEA encouraged the development of a decision support system for the selection of ATCs.

  10. 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)

  11. 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.

  12. A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection

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    Bijan Sarkar

    2012-08-01

    Full Text Available To acquire the competitive advantages in order to survive in the global business scenario, modern companies are now facing the problems of selecting key supply chain strategies. Strategy selection becomes difficult as the number of alternatives and conflicting criteria increases. Multi criteria decision making (MCDM methodologies help the supply chain managers take a lead in a complex industrial set-up. The present investigation applies fuzzy MCDM technique entailing multi-objective optimization on the basis of ratio analysis (MOORA in selection of alternatives in a supply chain. The MOORA method is utilized to three suitable numerical examples for the selection of supply chain strategies (warehouse location selection and vendor/supplier selection. The results obtained by using current approach almost match with those of previous research works published in various open journals. The empirical study has demonstrated the simplicity and applicability of this method as a strategic decision making tool in a supply chain.

  13. 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.

  14. Fuzzy multi-criteria decision-making approach with incomplete information based on evidential reasoning

    Institute of Scientific and Technical Information of China (English)

    Jianqiang Wang; Hongyu Zhang; Zhong Zhang

    2010-01-01

    The weights of criteda are incompletely known and the criteria values are incomplete and uncertain or even default in some fuzzy multi-criteria decision-making problems.For those problems,an approach based on evidential reasoning is proposed,in which the criteria values are integrated on the basis of analytical algorithm of evidential reasoning,and then nonlinear programming models of each alternative are developed with the incomplete information on weights.The genetic algorithm is employed to solve the models,producing the weights and the utility interval of each alternative,and the ranking of the whole set of alternatives can be attained.Finally,an example shows the effectiveness of the method.

  15. Aggregation Operators on Triangular Intuitionistic Fuzzy Numbers and its Application to Multi-Criteria Decision Making Problems

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    Liang Changyong

    2014-07-01

    Full Text Available The aim of this work is to present some aggregation operators with triangular intuitionistic fuzzy numbers and study their desirable properties. Firstly, the score function and the accuracy function of triangular intuitionistic fuzzy number are given, the method for ranking triangular intuitionistic fuzzy numbers are developed. Then, some geometric aggregation operators for aggregating triangular intuitionistic fuzzy numbers are developed, such as triangular intuitionistic fuzzy weighted geometric (TIFWG operator, the triangular intuitionistic fuzzy ordered weighted geometric (TIFOWG operator and the triangular intuitionistic fuzzy hybrid geometric (TIFHG operator. Moreover, an application of the new approach to multi-criteria decision making method was proposed based on the geometric average operator of TIFNs, and the new ranking method for TIFNs is used to rank the alternatives. Finally, an example analysis is given to verify and demonstrate the practicality and effectiveness of the proposed method.

  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. Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems

    Institute of Scientific and Technical Information of China (English)

    Wang Jianqiang; Zhang Zhong

    2009-01-01

    Intuitionistic trapezoidal fuzzy numbers and their operational laws are defined. Based on these op-erational laws, some aggregation operators, including intuitionistic trapezoidal fuzzy weighted arithmetic averaging operator and weighted geometric averaging operator are proposed. Expected values, score function, and accuracy function of intuitionitsic trapezoidal fuzzy numbers are defined. Based on these, a kind of intuitionistic trapezoidal fuzzy multi-criteria decision making method is proposed. By using these aggregation operators, criteria values are aggregated and integrated intuitionistic trapezoidal fuzzy numbers of alternatives are attained. By comparing score function and accuracy function values of integrated fuzzy numbers, a ranking of the whole alternative set can be attained. An example is given to show the feasibility and availability of the method.

  18. Methodology for allocation of remotely controlled switches in distribution networks based on a fuzzy multi-criteria decision making algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Bernardon, D.P.; Sperandio, M.; Garcia, V.J.; Russi, J. [UNIPAMPA - Federal University of Pampa (Brazil); Canha, L.N.; Abaide, A.R. [UFSM - Federal University of Santa Maria (Brazil); Daza, E.F.B. [AES Sul (Brazil)

    2011-02-15

    Continuity in power supply for the consumers is a permanent concern from the utilities, pursued with the development of technological solutions in order to improve the performance of network restoration conditions. Using remotely controlled switches corresponds to one possible approach to reach such an improvement and giving some convenient remote resources such as the fault detect, isolation and transfer loads. This paper presents a methodology implemented in a computer programming language for allocation these devices in electric distribution systems based on multi-criteria fuzzy analysis. The main contributions are focus on considering the impact of installing remote-controlled switches in the reliability indexes and algorithm of fuzzy multi-criteria decision making for the switches allocation. The effectiveness of the proposed algorithm is demonstrated with case studies involving actual systems of the AES Sul utility located in the south of Brazil. (author)

  19. Fuzzy multi-criteria decision making model for different scenarios of electrical power generation in Egypt

    Directory of Open Access Journals (Sweden)

    Hesham A. Hefny

    2013-07-01

    Full Text Available In the analytic network process (ANP a hierarchy or network is created to represent a decision and establishes a matrix containing the pair wise comparison judgments for the elements linked under a parent element. A priority vector of relative weights for these elements is derived. Then all the priority vectors are appropriately weighted and summed to obtain the overall priorities for the alternatives of a decision. In this paper we will develop an efficient fuzzy ANP model which helps decision makers to choose among the alternatives for the Egyptian scenarios of electrical power generation.

  20. Multi-criteria decision-making methods with optimism and pessimism based on Atanassov's intuitionistic fuzzy sets

    Science.gov (United States)

    Chen, Ting-Yu

    2012-05-01

    The theory of Atanassov's intuitionistic fuzzy sets (A-IFSs) developed over the last several decades has found useful application in fields requiring multiple-criteria decision analysis. Since the membership-nonmembership pair in A-IFSs belongs to the bivariate unipolarity type, this article describes an approach that relates optimism and pessimism to multi-criteria decision analysis in an intuitionistic fuzzy-decision environment. First, several optimistic and pessimistic point operators were defined to alter the estimation of decision outcomes. Next, based on the core of the estimations, optimistic and pessimistic score functions were developed to evaluate each alternative with respect to each criterion. The suitability function was then established to determine the degree to which each an alternative satisfies the decision maker's requirement. Because the information on multiple criteria corresponding to decision importance is often incomplete, this study included suitability functions in the optimisation models to account for poorly known membership grades. Using a linear equal-weighted summation method, these models were transformed into a single objective optimisation model to generate the optimal weights for criteria. The feasibility and effectiveness of the proposed methods were illustrated through a practical example. Finally, computational experiments with enormous amounts of simulation data were designed to conduct a comparative analysis on the ranking orders yielded by different optimistic/pessimistic point operators.

  1. Fuzzy Multi-actor Multi-criteria Decision Making for Sustainability Assessment of biomass-based technologies for hydrogen production

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Fedele, Andrea; Mason, Marco

    2013-01-01

    The purpose of this paper is to develop a sustainability assessment method to rank the prior sequence of biomass-based technologies for hydrogen production. A novel fuzzy Multi-actor Multi-criteria Decision Making method which allows multiple groups of decision-makers to use linguistic variables...... to assess the biomass-based technologies for hydrogen production has been developed. Fifteen criteria relevant to in economic, environmental, technological and social-political aspects have been used in sustainability assessment. Four biomass-based technologies including pyrolysis, conventional gasification......, supercritical water gasification and fermentative hydrogen production have been studied by the proposed method, and biomass gasification has been considered as the most sustainable scenario and can be chosen for further development....

  2. Prioritize Improvement Opportunities Identified In Self-Assessment Using Multi-Criteria Fuzzy Group Decision

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    Dr.Ghassem Faraj Pour

    2015-05-01

    Full Text Available ABSTRACT Efforts to improve the quality are one of the prerequisites for the success of individual companies and for the competitiveness of all whole companies. In the field of improvement and excellence business excellence models answer to the question that what the better organization is what goals and concepts they follow and according to what standards they behave. The EFQM excellence model can be transition from multiplicity to unity of different existing models. The most important approaches of these models are self-assessment and identifying improvement areas in an organization. On the other side organizations which are at lower level of total quality management will encounter so many areas to improve when using this model and implementing of self-improvement. Choosing the most important key problems are always the main challenges and because of resource constraints and strategic goals organizations have to prioritize identified improvement opportunities. This paper introduces a model for prioritizing and choosing the most significant improvement opportunities using the organization Business Excellence team members and because the analysis and decision making atmosphere for excellence team members is not generally complete with accurate information it seems using of fuzzy decision can be very helpful.

  3. Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method.

    Science.gov (United States)

    Liu, Hu-Chen; Wu, Jing; Li, Ping

    2013-12-01

    Nowadays selection of the appropriate treatment method in health-care waste (HCW) management has become a challenge task for the municipal authorities especially in developing countries. Assessment of HCW disposal alternatives can be regarded as a complicated multi-criteria decision making (MCDM) problem which requires consideration of multiple alternative solutions and conflicting tangible and intangible criteria. The objective of this paper is to present a new MCDM technique based on fuzzy set theory and VIKOR method for evaluating HCW disposal methods. Linguistic variables are used by decision makers to assess the ratings and weights for the established criteria. The ordered weighted averaging (OWA) operator is utilized to aggregate individual opinions of decision makers into a group assessment. The computational procedure of the proposed framework is illustrated through a case study in Shanghai, one of the largest cities of China. The HCW treatment alternatives considered in this study include "incineration", "steam sterilization", "microwave" and "landfill". The results obtained using the proposed approach are analyzed in a comparative way. Copyright © 2013. Published by Elsevier Ltd.

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

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    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.

  5. Approach to fuzzy number intuitionistic fuzzy multi-criteria decision making based on fuzzy structured element%基于模糊结构元的模糊数直觉模糊多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    汪新凡; 王坚强; 杨小娟

    2012-01-01

    A fuzzy structured element method is applied to deal with fuzzy number intuitionistic fuzzy multi-criteria decision making problems with incomplete certain information on criteria's weights. Based on the representation of fuzzy structured element of fuzzy number intuitionistic fuzzy set, the method of fuzzy structured element of fuzzy numbers' comparison and sequencing, and the score function and distance measure of intuitionistic fuzzy numbers, the score function and distance measure of fuzzy number intuitionistic fuzzy numbers are defined. Furthermore, two multi-criteria decision making approaches are proposed, such as the score function method, and the technique for order preference by similarity to ideal solution(TOPSIS) method, in which the criteria values are fuzzy number intuitionistic fuzzy numbers, and the criteria weight information is incompletely certain. Finally, an example is given to show the feasibility and effectiveness of the proposed methods.%针对准则权重信息不完全确定的模糊数直觉模糊多准则决策问题,采用模糊结构元方法进行处理.基于模糊数直觉模糊集的模糊结构元表示、模糊数比较和排序的模糊结构元方法以及直觉模糊数的记分函数和距离测度,定义了模糊数直觉模糊数的记分函数和距离测度,进而提出两种准则权重信息不完全确定而准则值为模糊数直觉模糊数的多准则决策方法:记分函数法和逼近理想解排序(TOPSIS)法.实例分析表明了这两种方法的可行性和有效性.

  6. A fuzzy-logic tool for multi-criteria decision making in fisheries: the case of the South African pelagic fishery

    DEFF Research Database (Denmark)

    Paterson, B.; Jarre, Astrid; Moloney, C.L.

    2007-01-01

    The present study presents an electronic decision-support tool that uses a fuzzy-logic model of expert knowledge to assist in multi-criteria decision-making in the context of an Ecosystem Approach to Fisheries (EAF). The prototype model integrates the multiple goals and objectives related...... to the evaluation of the ecosystem performance of the South African sardine Sardinops sagax fishery into a NetWeaver knowledge base and provides intuitive visual outputs to communicate results to managers and stakeholders. The software tool was developed in a consultative process with key experts and follows...... on expert opinion. Results show that the model is robust and conservative. The strength of the approach lies in the ability to include variables that are difficult to measure. It provides a means of rendering value judgements explicit and transparent. The tool synthesises a large amount of information...

  7. An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports

    Directory of Open Access Journals (Sweden)

    Ji-Feng Ding

    2013-01-01

    Full Text Available The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.

  8. Interdependent multi-criteria intuitionistic fuzzy decision-making approach%准则关联的直觉模糊多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    王坚强; 聂荣荣

    2011-01-01

    With regard to multi-criteria decision making problem, in which the criteria values are triangle intuitionistic fuzzy numbers and criteria are interdependent, the decision method based on Choquet integral is proposed. By defining outranking relations of alternatives under each criterion first, and when the fuzzy measures on the criteria are unknown, a quadratic programming model based on minimum variance of fuzzy measures and incomplete decision information is established to get the fuzzy measures. Then the overall outranking index of each alternative is obtained through Choquet integral. Finally, a numeric example shows the feasibility and effectiveness of the proposed method.%针对准则值为直觉三角模糊数,准则间相互关联的多准则决策问题,提出基于Choquet分的决策方法.该方法首先利用偏好函数定义方案在各准则下的优序关系,若模糊测度已知,则直接利用Choquet积分进行求解;若准则集上的模糊测度未知,则利用部分决策信息和最小方差法建立二次规划模型,求解模糊测度,再利用Choquet分进行决策.最后通过实例表明了该方法的有效性和可行性.

  9. Optimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective

    Directory of Open Access Journals (Sweden)

    Huiru Zhao

    2016-04-01

    Full Text Available Optimal siting of electric vehicle charging stations (EVCSs is crucial to the sustainable development of electric vehicle systems. Considering the defects of previous heuristic optimization models in tackling subjective factors, this paper employs a multi-criteria decision-making (MCDM framework to address the issue of EVCS siting. The initial criteria for optimal EVCS siting are selected from extended sustainability theory, and the vital sub-criteria are further determined by using a fuzzy Delphi method (FDM, which consists of four pillars: economy, society, environment and technology perspectives. To tolerate vagueness and ambiguity of subjective factors and human judgment, a fuzzy Grey relation analysis (GRA-VIKOR method is employed to determine the optimal EVCS site, which also improves the conventional aggregating function of fuzzy Vlsekriterijumska Optimizacijia I Kompromisno Resenje (VIKOR. Moreover, to integrate the subjective opinions as well as objective information, experts’ ratings and Shannon entropy method are employed to determine combination weights. Then, the applicability of proposed framework is demonstrated by an empirical study of five EVCS site alternatives in Tianjin. The results show that A3 is selected as the optimal site for EVCS, and sub-criteria affiliated with environment obtain much more attentions than that of other sub-criteria. Moreover, sensitivity analysis indicates the selection results remains stable no matter how sub-criteria weights are changed, which verifies the robustness and effectiveness of proposed model and evaluation results. This study provides a comprehensive and effective method for optimal siting of EVCS and also innovates the weights determination and distance calculation for conventional fuzzy VIKOR.

  10. 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

    2016-06-01

    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.

  11. 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.

  12. Predictive torque and flux control of an induction machine drive using fuzzy multi-criteria decision making

    Indian Academy of Sciences (India)

    VIKAS KUMAR; PRERNA GAUR; A P MITTAL

    2017-03-01

    Among the numerous direct torque control techniques, the finite-state predictive torque control (FS-PTC) has emerged as a powerful alternative as it offers the fast dynamic response and the flexibility to optimize multiple objectives simultaneously. However, the implementation of FS-PTC for multiple objectives optimization requires the optimization of a single objective function, which is constructed using weighting factors asa linear combination of individual objective functions. Traditionally, the weighting factors are determined through a non-trivial process, which is a complex and time-consuming task. In an effort to avoid the timeconsuming task of weighting factor selection, this paper aims at replacing the weighting factor calculation with a systematic fuzzy multiple-criteria decision making in which the individual objective functions may have equalor varying degrees of importance. As a result the weighting factor calculation can be completely avoided. The simulation and experimental tests are conducted on a 2.2 kW induction motor drive to validate the proposed approach. The result outcomes are compared with the conventional predictive torque control (PTC) using weighting factors on the same experimental platform.

  13. Applications of Multi-criteria Decision Making in Software Engineering

    Directory of Open Access Journals (Sweden)

    Sumeet Kaur Sehra

    2016-07-01

    Full Text Available Every complex problem now days require multicriteria decision making to get to the desired solution. Numerous Multi-criteria decision making (MCDM approaches have evolved over recent time to accommodate various application areas and have been recently explored as alternative to solve complex software engineering problems. Most widely used approach is Analytic Hierarchy Process that combines mathematics and expert judgment. Analytic Hierarchy Process suffers from the problem of imprecision and subjectivity. This paper proposes to use Fuzzy AHP (FAHP instead of traditional AHP method. The usage of FAHP helps decision makers to make better choices both in relation to tangible criteria and intangible criteria. The paper provides a clear guide on how FAHP can be applied, particularly in the software engineering area in specific situations. The conclusion of this study would help and motivate practitioners and researchers to use multi-criteria decision making approaches in the area of software engineering.

  14. Organic farming and multi-criteria decisions

    DEFF Research Database (Denmark)

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

    Organic food production is a sphere where decision making is multi-facetted and complex. This applies to producers, political decision makers and consumers alike. This paper provides an overview of the economic methods that can aid such multi criteria decision making. We first provide an outline...... 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....

  15. 基于粒计算的犹豫模糊多准则决策方法%Granular Computing Based Hesitant Fuzzy Multi-criteria Decision Making

    Institute of Scientific and Technical Information of China (English)

    王宝丽; 梁吉业; 胡运红

    2016-01-01

    提出基于粒计算的犹豫模糊多准则决策方法。给出各个准则下对应的犹豫模糊集中犹豫模糊元的大于可能度定义,并构造相应准则下的加性一致的模糊偏好矩阵。根据各准则的模糊偏好矩阵对应的预序熵及预序粒结构相似度确定属性的权重,对各个准则下模糊偏好矩阵的排序向量加权平均得到最终的排序向量。文中方法以评价数据序信息量及准则序与整体之间的关系确定准则权重,通过计算加权两两比较下的排序向量得到最终的排序决策结果。最后运用实例验证算法的有效性及可行性。%A multi_criteria decision making method is proposed based on granular computing in hesitant fuzzy setting. Firstly, the possibility degree is defined for comparing hesitant fuzzy elements in a hesitant fuzzy set and an additive consistent fuzzy preference matrix is constructed based on the defined possibility degrees. Secondly, the criteria weights are determined by the preorder entropies and the similarity degree of preorder granular structures. Thirdly, an ordered vector is obtained by integrating the corresponding fuzzy preference matrices with the criteria weights. The criteria weights are computed from the evaluation information content and the relations between orders of the individual criteria and the whole evaluation system. The final ranking is obtained by weighting the ranking order under each criterion. Finally, a case study is utilized to verify the effectiveness and feasibility of the proposed method.

  16. 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...

  17. Intuitionistic linguistic fuzzy multi-criteria decision-making method based on intuitionistic fuzzy entropy%基于直觉模糊熵的直觉语言多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    王坚强; 王佩

    2012-01-01

    With respect to the limitations existed in methods for calculating entropy of intuitionistic fuzzy sets, a new entropy for intuitionistic fuzzy sets is proposed and the result of this entropy is compared with other existing entropies. For the intuitionistic linguistic fuzzy multi-criteria decision-making problem, in which the information on the weights of criteria are incomplete, a linear fuzzy programming model based on intuitionistic fuzzy entropy is constructed to obtain the criteria weights. Then, intuiiionistic linguistic weighted arithmetic averaging operator is used to aggregate the intuitionistic linguistic fuzzy information corresponding to each alternative, and the alternatives are ranked by the score function. Finally, an illustrative example is given to verify the effectiveness and rationality of the developed approach.%针对现有直觉模糊熵方法中存在的一些问题,提出一种新的直觉模糊熵,并将其与现有的几种直觉模糊熵计算结果进行比较.针对准则权重信息不完全且准则值为直觉语言数的多准则决策问题,通过建立基于模糊熵的决策模型来求解准则的最优权系数,并利用直觉语言加权算数平均算子(IL-WAA)求出方案的综合准则值,进而由直觉语言数的记分函数确定方案的排序.最后,通过算例分析验证了该方法的有效性和合理性.

  18. Multi-criteria decision making method based on trapezoidal interval type-2 hesitant fuzzy number%基于区间梯形二型犹豫模糊数的多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    胡军华; 蓝霞; 陈鹏

    2015-01-01

    In view of hesitant fuzzy linguistic multi-criteria decision making problems in which the criteria weights are partially unknown, a hesitant fuzzy linguistic multi-criteria decision making method is proposed. Firstly, the trapezoidal interval type-2 hesitant fuzzy number is proposed. Then, the weights of the criteria are determined by the model of maximizing on the basis of the difference degree. Moreover, the weighted similarity degree of every alternative with ideal points is displayed to rank all the alternatives. Finally, an example is given to illustrate the effectiveness of the proposed method.%针对准则权重不完全的犹豫模糊多准则决策问题,提出基于区间梯形二型犹豫模糊数的决策方法.首先,给出区间梯形二型犹豫模糊数,根据几何面积法定义区间梯形二型犹豫模糊数的可能度和差异度;然后,利用差异度和离差最大化模型得到各准则权重,基于TOPSIS思想得到各方案的综合贴近度,并对方案进行排序;最后,通过算例分析和对比分析验证了所提出方法的可行性和有效性.

  19. Multi-valued Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems

    Directory of Open Access Journals (Sweden)

    Juan-juan Peng

    2015-12-01

    Full Text Available In recent years, hesitant fuzzy sets and neutrosophic sets have aroused the interest of researchers and have been widely applied to multi-criteria decisionmaking problems. The operations of multi-valued neutrosophic sets are introduced and a comparison method is developed based on related research of hesitant fuzzy sets and intuitionistic fuzzy sets in this paper. Furthermore, some multi-valued neutrosophic number aggregation operators are proposed and the desirable properties are discussed as well. Finally, an approach for multi-criteria decision-making problems was explored applying the aggregation operators. In addition, an example was provided to illustrate the concrete application of the proposed method.

  20. 模糊Bonferroni平均算子及在多准则群决策中的应用%Fuzzy Bonferroni mean operator and its application to multi-criteria group decision making

    Institute of Scientific and Technical Information of China (English)

    刘金培; 林盛; 陈华友

    2012-01-01

    The advantage of the Bonferroni mean operator is its capability to capture the interrelationship between input arguments in information fusion. In order to aggregate triangular fuzzy numbers, the fuzzy Bonferroni mean (FBM) operator is developed and its some special cases are discussed. Based on this, the fuzzy weighted Bonferroni mean (FWBM) operator and the combined fuzzy weighted Bonferroni mean (C-FWBM) operator are proposed. Meanwhile, some desirable properties of these operators are investigated. With respect to multi-criteria group decision making in which the decision making information is given by triangular fuzzy numbers, a new decision making method is proposed based on FWBM operator and C-FWBM operator. Finally an illustrative example is given to use these operators in the range of fuzzy multi-criteria group decision-making. The results show that the proposed method is feasible.%在进行信息集成时,有时需要考虑输入变量之间的相互影响,而Bonferroni平均(Bonferroni mean,BM)算子正好具有这种优点.为了集成三角模糊数,提出模糊Bonferroni平均(fuzzy Bonferroni mean,FBM)算子,讨论它的几种特殊情形.在此基础上,提出模糊加权Bonferroni平均(fuzzy weighted Bonferroni mean,FWBM)算子和组合模糊加权Bonferroni平均(combined fuzzy weighted Bonferroni mean,C-FWBM)算子,同时研究它们的一些性质.针对决策信息以三角模糊数给出的决策问题,提出一种基于FWBM算子和C-FWBM算子的多准则决策方法.最后举例说明其在模糊多准则群决策中的应用,结果表明该方法是可行的.

  1. Fuzzy multi-criteria decision-making method based on decision maker's Vague confidence%基于决策者Vague信心度的模糊多准则方法

    Institute of Scientific and Technical Information of China (English)

    王坚强; 张红宇; 秦育智

    2011-01-01

    Trapezoidal Vague numbers and the decision maker's Vague confidence degree based on the risk attitude of decision maker are defined. A fuzzy multi-criteria decision making method based on decision maker's Vague confidence degree under incomplete information is proposed. In this method, criteria weights are derived through a linear programming model, and the decision maker's confidence degrees for alternatives are obtained through integrating all the decision maker's confidence degrees of criteria values in every alternative.Alternatives are ranked with the possibility degree method. An example shows that the proposed method is reasonable and effective.%定义了梯形Vague数和基于决策者风险态度的Vague信心度,提出了一种基于决策者Vague信心度的信息不完全的模糊多准则决策方法.该方法利用线性规划模型求出准则权重,并对方案在各个准则值下的决策者的Vague信心度进行集成,求出决策者对各个方案的综合信心度,进而利用可能度法对方案进行排序.最后实例验证了所提出方法的合理性与有效性.

  2. 基于优序关系的犹豫模糊语言多准则决策方法%Method for multi-criteria decision-making with hesitant fuzzy linguistic based on outranking relation

    Institute of Scientific and Technical Information of China (English)

    王坚强; 吴佳亭

    2015-01-01

    Hesitant fuzzy linguistic sets is an extension of both linguistic term sets and hesitant fuzzy sets. Motivated by the idea of traditional Electre methods, an Electre method for hesitant fuzzy linguistic information is introduced. Firstly, the Hausdorff distance of hesitant fuzzy linguistic numbers are proposed. Then, the outranking relation for hesitant fuzzy linguistic numbers under each criterion is developed, based on which, a method for hesitant fuzzy linguistic multi-criteria decision-making based on the outranking relation is proposed. Finally, a numerical example is given to illustrate the effectiveness and feasibility of the proposed method.%犹豫模糊语言集是语言集和犹豫模糊集的扩展,受传统Electre方法的启发,构建基于优序关系的犹豫模糊语言多准则决策方法. 首先,给出犹豫模糊语言数的Hausdorff距离公式;然后,基于每一准则下方案评价的对比,建立犹豫模糊语言数的优序关系,并在此基础上,提出一种基于优序关系的犹豫模糊语言多准则决策方法;最后,通过算例表明了所提出方法的有效性和可行性.

  3. 一种基于等价关系的模糊多属性语言决策方法%Fuzzy multi-criteria linguistic decision-making method based on equivalence relation

    Institute of Scientific and Technical Information of China (English)

    刘晶; 裴峥; 周斌

    2014-01-01

    An ordering method of fuzzy evaluating linguistic values based on equivalence relation was proposed, and its properties were analyzed.It was proved that the ordering method could make a linear ordering among fuzzy evaluating linguistic values, which meaned that the ordering method could provide the unique optimal solution of fuzzy multi-crite-ria linguistic decision-making.Example analysis showed that the proposed method could be used to avoid the drawback of pre-order relation, which could be an alternative method of fuzzy multi-criteria linguistic decision-making method.%提出一种基于等价关系的模糊评价语言值排序方法,分析该排序方法的相关性质,证明了该排序方法确保模糊评价语言值之间的序关系是一种线性序关系,从而保证模糊多属性语言决策最优解的唯一性。实例分析表明,本研究提出的排序方法能够克服已有预序关系带来的不足,是一种可选的模糊多属性语言决策方法。

  4. Evidence-based Health Care via Multi-Criteria Decision Analytic decision

    DEFF Research Database (Denmark)

    Kjer Kaltoft, Mette; Dowie, Jack

    ’Evidence-based Health Care via Multi-Criteria Decision Analytic decision support: a Danish case study......’Evidence-based Health Care via Multi-Criteria Decision Analytic decision support: a Danish case study...

  5. A fuzzy multi-criteria emergency decision-making method%面向突发事件的模糊多目标应急决策方法

    Institute of Scientific and Technical Information of China (English)

    邬文帅; 寇纲; 彭怡; 石勇

    2012-01-01

    应急环境下的信息具有不确定性、模糊性,运用单一的方法很难做出有效决策.集成模糊理论,灰色系统理论和多目标决策理论,提出了一种改进的模糊多目标应急决策方法.该方法首先结合灰色关联度计算各决策方案到TOPSIS正负理想解的距离,然后采用三角模糊数,处理决策信息的模糊性和不确定性,突出了各决策方案之间的关联影响.最后,结合核电站事故应急决策的例子,验证了所提出方法的可行性和有效性.%Information under emergency situation is always uncertain and ambiguous, so it is very difficult to make decision correctly and rapidly by single method. In this paper, a new and revised fuzzy multi-criteria decision making method is proposed for emergency management. The proposed method integrated fuzzy theory, the gray system theory and multi-criteria decision making theory. A case in emergency decision making for a nuclear power station accident is introduced to demonstrate the feasibility and efficiency of the proposed method.

  6. Multi-Criteria Decision-Making Methods and Their Applications for Human Resources

    Science.gov (United States)

    D'Urso, M. G.; Masi, D.

    2015-05-01

    Both within the formation field and the labor market Multi-Criteria Decision Methods (MCDM) provide a significant support to the management of human resources in which the best choice among several alternatives can be very complex. This contribution addresses fuzzy logic in multi-criteria decision techniques since they have several applications in the management of human resources with the advantage of ruling out mistakes due to the subjectivity of the person in charge of making a choice. Evaluating educational achievements as well as the professional profile of a technician more suitable for a job in a firm, industry or a professional office are valuable examples of fuzzy logic. For all of the previous issues subjectivity is a fundamental aspect so that fuzzy logic, due to the very meaning of the word fuzzy, should be the preferred choice. However, this is not sufficient to justify its use; fuzzy technique has to make the system of evaluation and choice more effective and objective. The methodological structure of the multi-criteria fuzzy criterion is hierarchic and allows one to select the best alternatives in all those cases in which several alternatives are possible; thus, the optimal choice can be achieved by analyzing the different scopes of each criterion and sub-criterion as well as the relevant weights.

  7. 基于模糊熵和证据推理的语言D数多准则决策方法%Multi-criteria decision-making method based on fuzzy entropy and evidential reasoning with linguistic D numbers

    Institute of Scientific and Technical Information of China (English)

    王坚强; 黄思旷

    2016-01-01

    Linguistic D numbers,as well as fuzzy entropy for linguistic D numbers are defined.For the multi-criteria decision-making problems that the criteria values are linguistic D numbers with incomplete certain information on weights of criteria,a method based on fuzzy entropy and evidential reasoning is proposed.In this method,the criteria weights are attained by constructing a linear programming model based on the linguistic D numbers fuzzy entropy,and the evidential reasoning approach is used to reach the comprehensive criteria values,and the most desirable alternatives are obtained.Analysis of an example demonstrates the feasibility and effectiveness of the method.%定义了语言D数及其模糊熵,提出了基于模糊熵和证据推理的多准则决策方法,以解决准则权系数信息不完全确定的语言D数多准则决策问题.所提方法通过建立基于语言D数模糊熵的线性规划模型来得到准则的最优权系数,利用证据推理算法确定方案的综合准则值,进而得出最优方案.最后通过实例验证了所提出方法的有效性和可行性.

  8. Multi-criteria decision method with triangular fuzzy numbers based on FVIKOR%基于FVIKOR的三角模糊数型多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    江文奇

    2016-01-01

    针对准则值和准则权重均为三角模糊数的多准则决策问题,提出一种三角模糊数型VIKOR (FVIKOR)方法。首先,分析FVIKOR方法中直接运用三角模糊数运算规则计算群体效用值、个体遗憾值和妥协解可能违反三角模糊数左中右端点值逐渐增加的基本特性,提出实施三角模糊数去模糊化的解决策略;然后,设计去模糊化参数优化模型,并给出FVIKOR应用的具体步骤;最后,通过具体算例表明了所提出方法的实施过程和有效性。%According to the multi-criteria decision making problems in which the criteria and their weights take forms of the triangular fuzzy numbers, a triangular valued fuzzy VIKOR(FVIKOR) method is proposed. Firstly, the group utility, the individual regret and the compromise solutions calculated by the arithmetic regulation directly in the FVIKOR method may violate the arithmetic regulations of triangular fuzzy numbers, i.e., the left value is less than the medium value, which is in turn less than the right value, therefore, a feasible solution of defuzzifying the triangular fuzzy numbers is proposed. Then, the optimal models to designed set the parameters of defuzzifying the triangular fuzzy numbers, and the specific steps of the FVIKOR method are presented. Finally, an example illustrates the procedures and effectiveness of the proposed method.

  9. 基于前景理论和VIKOR的风险型模糊多准则决策方法%Risky fuzzy multi-criteria decision method based on prospect theory and VIKOR

    Institute of Scientific and Technical Information of China (English)

    江文奇

    2014-01-01

    According to the multi-criteria decision making problems with fuzzy criteria values, a decision making approach based on the prospect theory and the VIKOR method is proposed. Firstly, the interval numbers, the triangular fuzzy number, the trapezoidal fuzzy number, the intuitionistic fuzzy number and the linguistic information are nondimensionalized. Then, the median reference points are given based on the order of all the alternatives with different criteria under all the conditions, thus the comprehensive prospect values of each alternative under each criterion are obtained. Furthermore, the extended VIKOR method is proposed based on the prospect value matrix. Finally, an example illustrates the feasibility and effectiveness of the proposed method.%针对准则值均为模糊数的风险型多准则决策问题,提出一种基于前景理论和VIKOR的多准则决策方法。首先,进行区间数、三角模糊数、梯形模糊数、直觉模糊数和语言值的无量纲化处理;然后,基于各个准则各种状态下各个方案的准则值排序,确定中位数参考点以及各个方案在各个准则下的综合前景值;接着,基于前景价值矩阵,给出基于VIKOR的扩展方法;最后,通过具体实例验证了所提出方法的有效性和可行性。

  10. Operator performance evaluation using multi criteria decision making methods

    Science.gov (United States)

    Rani, Ruzanita Mat; Ismail, Wan Rosmanira; Razali, Siti Fatihah

    2014-06-01

    Operator performance evaluation is a very important operation in labor-intensive manufacturing industry because the company's productivity depends on the performance of its operators. The aims of operator performance evaluation are to give feedback to operators on their performance, to increase company's productivity and to identify strengths and weaknesses of each operator. In this paper, six multi criteria decision making methods; Analytical Hierarchy Process (AHP), fuzzy AHP (FAHP), ELECTRE, PROMETHEE II, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) are used to evaluate the operators' performance and to rank the operators. The performance evaluation is based on six main criteria; competency, experience and skill, teamwork and time punctuality, personal characteristics, capability and outcome. The study was conducted at one of the SME food manufacturing companies in Selangor. From the study, it is found that AHP and FAHP yielded the "outcome" criteria as the most important criteria. The results of operator performance evaluation showed that the same operator is ranked the first using all six methods.

  11. 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 tr

  12. 三角模糊数型多准则群决策的VIKOR扩展方法%Extension of VIKOR method for multi-criteria group decision making problems with triangular fuzzy numbers

    Institute of Scientific and Technical Information of China (English)

    江文奇

    2015-01-01

    The fuzzy multi-criteria group decision making problems by using VlseKriterijumska Optimizacija I Kompromisno Resenje(VIKOR) method can often be divided into two steps, integrating fuzzy information and getting the compromise solutions by VIKOR method. Different integrating methods develop different group results and compromise solutions. For the multi-criteria group decision problems in which all the criteria values and weights are triangular fuzzy number, the defects of the two popular information integrating methods are analyzed, and the optimal model of group information is designed based on the two goals which are the minimal distances and higher similarity between individual evaluation and group evaluation, and an extension of VIKOR method is also given to obtain compromise solutions. Finally, an example illustrates the feasibility and effectiveness of the proposed method.%运用VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)方法研究模糊多准则群决策问题常常将其分成模糊信息集结和VIKOR方法求解两个阶段。个体评估信息集结方法不同,所得到的群体集结结果也不同,获得的妥协解可能会存在较大差异。鉴于此,基于含有三角模糊数的多准则群决策问题,分析现有两种主流群体信息集结方法存在的缺陷,基于个体评估值与群体评估值的距离最优和较高的相似度两个目标,设计群体信息集结优化模型,提出一种拓展的VIKOR方法。最后通过实例分析说明了所提出方法的有效性和可行性。

  13. 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".

  14. 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

  15. Intuitionistic fuzzy stochastic multi-criteria decision-making methods based on prospect theory%基于前景理论的随机直觉模糊决策方法

    Institute of Scientific and Technical Information of China (English)

    李鹏; 刘思峰; 朱建军

    2012-01-01

    For the stochastic multi-criteria decision-making problem, in which the information on criteria's weights is incomplete and the indices value of alternatives are in the form of intuitionistic fuzzy numbers, an intuitionistic stochastic decision-making approach based on prospect theory and a new score function is proposed. Firstly, a new score function is defined. Then the grey system theory is used to determine the weight of the indices, and the alternative is obtained by using prospect theory. Finally, an example shows the feasibility and reasonableness of this method%针对指标权重未知、方案的指标值为直觉模糊数的随机直觉模糊决策问题,提出一种基于前景理论和新的记分函数的随机决策方法.首先定义了新的记分函数;然后运用灰色系统理论确定指标的权重,并通过前景理论对方案进行对比和排序;最后,通过算例分析说明了所提出方法的合理性和可行性.

  16. 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.

  17. Optimization of Multi-Criteria Experiments with Fuzzy Results

    Institute of Scientific and Technical Information of China (English)

    YANG Fan; WU Su; Tilo Pfeifer; Klaus Hense

    2006-01-01

    The classical design of experiments (DoE) method can optimize systems with one technical response and multiple inputs. The objective of this study is to optimize multiple technical responses at the same time by integrating fuzzy logic transformation into a DoE system. The transformation from technical responses to the individual fuzzy responses and the overall fuzzy response are first defined, and the fuzzy response system is established. The method used to optimize the overall fuzzy response is introduced and discussed. The results show that the established fuzzy response system can optimize systems with multiple technical responses and multiple inputs.

  18. The location analysis of the local pharmacies by the multi criteria decision-making AHP-Fuzzy method (case study IRAN-SHIRAZ

    Directory of Open Access Journals (Sweden)

    Mohammad Mehdi Jabbedari

    2016-04-01

    Full Text Available Background & Objective: Due to the burden on citizens seeking access to the pharmacies, the optimal location of pharmacies, patients' access to medicines, and the pharmacies proportional distribution, are some significantly important factors to consider.. The main objective of this study was to evaluate the current distribution of pharmacies and to determine the best location for the establishment of new pharmacies in the study area. Materials & Methods: This study was a case study that was conducted in the city of Shiraz. This study collected data in the form of a map to locate the service centers, weighting the criteria and compare them with other test methods which were used to analyze the hierarchy in the geographical information system (GIS. The layers (maps used  in this study were eight dual-layer maps, including 200 meters of daily pharmacies and 1000 meters of overnight pharmacies. In addition, the final weight was calculated for each layer by AHP-Fuzzy method. Results: 24 locations in the city were demonstrated, as the best places to establish a new pharmacy according to the research criteria layers. The incompatibility rate of 0.8 was calculated, which shows the weight of the layers located within the accepted range. The government hospitals and pharmacies layers are in the highest weight (23% and the lowest weight (3% respectively. Conclusion: By the combination layers of information on the final map, the locations were identified for the establishment of pharmacies. This study showed that the current location of pharmacies in the city of Shiraz do not match the standards and requirements.

  19. Multi-criteria decision analysis with fuzzy probabilistic risk assessment for produced water management[Includes the CSCE forum on professional practice and career development : 1. international engineering mechanics and materials specialty conference : 1. international/3. coastal, estuarine and offshore engineering specialty conference : 2. international/8. construction specialty conference

    Energy Technology Data Exchange (ETDEWEB)

    Mofarrah, A.; Husain, T.; Hawboldt, K. [Memorial Univ. of Newfoundland, St. John' s, NL (Canada). Faculty of Engineering and Applied Science

    2009-07-01

    This paper presented an integrated approach for management of produced water (PW) from oil and gas production. A multi-criteria analysis technique was integrated with risk assessment methodology to enhance the decision making process. As an integral part of overall environmental risk analyses, risk management involves selecting the most appropriate action, and integrating the results of risk assessment with engineering data, social, economic, and political concerns to make an acceptable decision. The risk assessment process involves objectivity, whereas risk management involves preferences and attitudes, which have objective and subjective elements. Choosing an alternative based on risk criteria is challenging for decision makers. Multi-criteria decision making (MCDM) can be used for this purpose. The proposed decision analysis framework integrates fuzzy-probabilistic risk assessment (FPRA) methodology into a fuzzy multi-criteria decision making (FMCDM) analysis. The centroid method was used for defuzzification and ranking alternatives. The efficacy of the integrated technique was demonstrated in an application where 3 types of PW management systems for offshore oil and gas operations were evaluated. 17 refs., 4 tabs., 5 figs.

  20. Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems

    Science.gov (United States)

    Peng, Juan-juan; Wang, Jian-qiang; Wang, Jing; Zhang, Hong-yu; Chen, Xiao-hong

    2016-07-01

    As a variation of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed to represent uncertain, imprecise, incomplete and inconsistent information that exists in the real world. Simplified neutrosophic sets (SNSs) have been proposed for the main purpose of addressing issues with a set of specific numbers. However, there are certain problems regarding the existing operations of SNSs, as well as their aggregation operators and the comparison methods. Therefore, this paper defines the novel operations of simplified neutrosophic numbers (SNNs) and develops a comparison method based on the related research of intuitionistic fuzzy numbers. On the basis of these operations and the comparison method, some SNN aggregation operators are proposed. Additionally, an approach for multi-criteria group decision-making (MCGDM) problems is explored by applying these aggregation operators. Finally, an example to illustrate the applicability of the proposed method is provided and a comparison with some other methods is made.

  1. Multi-criteria group decision making for evaluating the performance of e-waste recycling programs under uncertainty.

    Science.gov (United States)

    Wibowo, Santoso; Deng, Hepu

    2015-06-01

    This paper presents a multi-criteria group decision making approach for effectively evaluating the performance of e-waste recycling programs under uncertainty in an organization. Intuitionistic fuzzy numbers are used for adequately representing the subjective and imprecise assessments of the decision makers in evaluating the relative importance of evaluation criteria and the performance of individual e-waste recycling programs with respect to individual criteria in a given situation. An interactive fuzzy multi-criteria decision making algorithm is developed for facilitating consensus building in a group decision making environment to ensure that all the interest of individual decision makers have been appropriately considered in evaluating alternative e-waste recycling programs with respect to their corporate sustainability performance. The developed algorithm is then incorporated into a multi-criteria decision support system for making the overall performance evaluation process effectively and simple to use. Such a multi-criteria decision making system adequately provides organizations with a proactive mechanism for incorporating the concept of corporate sustainability into their regular planning decisions and business practices. An example is presented for demonstrating the applicability of the proposed approach in evaluating the performance of e-waste recycling programs in organizations. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. 基于决策者风险偏好的区间直觉模糊数多属性决策方法%Multi-criteria Decision-making Method Based on Risk Attitude under Interval-valued Intuitionistic Fuzzy Envi-ronment

    Institute of Scientific and Technical Information of China (English)

    王中兴; 黄娜; 黄帅

    2014-01-01

    We present a new method for multi-criteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets.First the decision maker's risk attitude is induced for converting an interval-valued intuitionistic fuzzy number to be a parametric intuitionistic fuzzy number. Then by considering decision makers'herd behavior when he/she hesitates in an election,the hesitancy degree impacts on the scores of intuitionistic fuzzy numbers.According to above anal-ysis,a new score function is defined and used for ranking interval-valued intuitionistic fuzzy numbers.Furthermore,a method is proposed to deal with multi-criteria fuzzy decision making problems based on the new score function.Finally,a numerical example is given to illustrate the feasibility and effectiveness of the new method.%依据决策者的风险偏好,将区间直觉模糊数转化为含参数直觉模糊数,然后基于直觉模糊数投票模型和人们从众心理分析直觉模糊数的犹豫度对其得分的影响,进而定义直觉模糊数新的得分函数,并以此作为区间直觉模糊数的排序指标,提出一种新的区间直觉模糊数模糊决策方法,最后通过例子验证该方法的可行性和有效性。

  3. 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.

  4. Development of fuzzy multi-criteria approach to prioritize locations of treated wastewater use considering climate change scenarios.

    Science.gov (United States)

    Chung, Eun-Sung; Kim, Yeonjoo

    2014-12-15

    This study proposed a robust prioritization framework to identify the priorities of treated wastewater (TWW) use locations with consideration of various uncertainties inherent in the climate change scenarios and the decision-making process. First, a fuzzy concept was applied because future forecast precipitation and their hydrological impact analysis results displayed significant variances when considering various climate change scenarios and long periods (e.g., 2010-2099). Second, various multi-criteria decision making (MCDM) techniques including weighted sum method (WSM), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and fuzzy TOPSIS were introduced to robust prioritization because different MCDM methods use different decision philosophies. Third, decision making method under complete uncertainty (DMCU) including maximin, maximax, minimax regret, Hurwicz, and equal likelihood were used to find robust final rankings. This framework is then applied to a Korean urban watershed. As a result, different rankings were obviously appeared between fuzzy TOPSIS and non-fuzzy MCDMs (e.g., WSM and TOPSIS) because the inter-annual variability in effectiveness was considered only with fuzzy TOPSIS. Then, robust prioritizations were derived based on 18 rankings from nine decadal periods of RCP4.5 and RCP8.5. For more robust rankings, five DMCU approaches using the rankings from fuzzy TOPSIS were derived. This framework combining fuzzy TOPSIS with DMCU approaches can be rendered less controversial among stakeholders under complete uncertainty of changing environments.

  5. NOVEL APPROACHES TO MULTI-CRITERIA DECISION MAKING WITH INCOMPLETE INFORMATION SYSTEM

    Directory of Open Access Journals (Sweden)

    Shihu Liu

    2013-05-01

    Full Text Available Our main work in this study is to make a detailed discussion on the multi-criteria decision making with incomplete information systems. At first, an algorithm is constructed to retrieve the missing criteria values by taking into account the local similarity as well as global similarity of each two alternatives. Then, in view of different evaluation information representation, we establish different making methods for the corresponding completed information system. By transforming interval-valued information into intuitionistic fuzzy number, the cosine simi-larity measure based method is introduced to the decision making problem with interval-valued evaluation information. Moreover, the aggregation operator based method is established for set-valued information. Especially, we propose a novel decision making approach for the hybrid evaluation information from viewpoint of rough set theory. The validity of these decision making methods are demonstrated by corresponding synthetic examples.

  6. Multi-criteria decision model for retrofitting existing buildings

    Directory of Open Access Journals (Sweden)

    M. D. Bostenaru Dan

    2004-01-01

    Full Text Available Decision is an element in the risk management process. In this paper the way how science can help in decision making and implementation for retrofitting buildings in earthquake prone urban areas is investigated. In such interventions actors from various spheres are involved. Their interests range among minimising the intervention for maximal preservation or increasing it for seismic safety. Research was conducted to see how to facilitate collaboration between these actors. A particular attention was given to the role of time in actors' preferences. For this reason, on decision level, both the processural and the personal dimension of risk management, the later seen as a task, were considered. A systematic approach was employed to determine the functional structure of a participative decision model. Three layers on which actors implied in this multi-criteria decision problem interact were identified: town, building and element. So-called 'retrofit elements' are characteristic bearers in the architectural survey, engineering simulations, costs estimation and define the realms perceived by the inhabitants. This way they represent an interaction basis for the interest groups considered in a deeper study. Such orientation means for actors' interaction were designed on other levels of intervention as well. Finally, an 'experiment' for the implementation of the decision model is presented: a strategic plan for an urban intervention towards reduction of earthquake hazard impact through retrofitting. A systematic approach proves thus to be a very good communication basis among the participants in the seismic risk management process. Nevertheless, it can only be applied in later phases (decision, implementation, control only, since it serves verifying and improving solution and not developing the concept. The 'retrofit elements' are a typical example of the detailing degree reached in the retrofit design plans in these phases.

  7. 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…

  8. 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…

  9. A Multi Criteria Group Decision-Making Model for Teacher Evaluation in Higher Education Based on Cloud Model and Decision Tree

    Science.gov (United States)

    Chang, Ting-Cheng; Wang, Hui

    2016-01-01

    This paper proposes a cloud multi-criteria group decision-making model for teacher evaluation in higher education which is involving subjectivity, imprecision and fuzziness. First, selecting the appropriate evaluation index depending on the evaluation objectives, indicating a clear structural relationship between the evaluation index and…

  10. Selection of disposal contractor by multi criteria decision making methods

    Directory of Open Access Journals (Sweden)

    Cenker Korkmazer

    2016-08-01

    Full Text Available Hazardous waste is substance that threaten people and environment in case of improper storage, disposal and transport due to its concentration, physical and chemical properties. Companies producing hazardous waste as a result of several activities mostly do not have any own disposal facilities. In addition, they do not pay attention enough to determine the right contractor as a disposal facility. On the other hand, there are various qualitative and quantitative criteria affecting the selection of the contractor and conflicting with each other. The aim of the performed study is to assist one of these companies producing hazardous waste in the selection of the best contractor that eliminates hazardous waste economic and harmless way. In the study, contractor weights in percentage is calculated by using Analytic Network Process (ANP as one of the multi-criteria decision making (MCDM methods and widely used in the literature which considers both qualitative and quantitative criteria. In the next step, by the help of the mathematical model, contractors that will be given which type of hazardous waste are identified. This integrated approach can be used as a guide for similar firms.

  11. Analysis of Production and Location Decisions by Means of Multi-Criteria Analysis

    NARCIS (Netherlands)

    P. Nijkamp (Peter); J. Spronk (Jaap)

    1979-01-01

    textabstractDuring the last few years economists and operations researchers have paid much attention to multi-criteria analysis as a tool in modern decision-making. The basic feature of multi-criteria analysis is the fact that a wide variety of relevant decision aspects can be taken into account wit

  12. Analysis of Production and Location Decisions by Means of Multi-Criteria Analysis

    NARCIS (Netherlands)

    P. Nijkamp (Peter); J. Spronk (Jaap)

    1979-01-01

    textabstractDuring the last few years economists and operations researchers have paid much attention to multi-criteria analysis as a tool in modern decision-making. The basic feature of multi-criteria analysis is the fact that a wide variety of relevant decision aspects can be taken into account wit

  13. Fuzzy Continuous Review Inventory Model using ABC Multi-Criteria Classification Approach: A Single Case Study

    Directory of Open Access Journals (Sweden)

    Meriastuti - Ginting

    2015-06-01

    Full Text Available Abstract. Inventory is considered as the most expensive, yet important,to any companies. It representsapproximately 50% of the total investment. Inventory cost has become one of the majorcontributorsto inefficiency, therefore it should be managed effectively. This study aims to propose an alternative inventory model, by using ABC multi-criteria classification approach to minimize total cost. By combining FANP (Fuzzy Analytical Network Process and TOPSIS (Technique of Order Preferences by Similarity to the Ideal Solution, the ABC multi-criteria classification approach identified 12 items of 69 inventory items as “outstanding important class” that contributed to 80% total inventory cost. This finding is then used as the basis to determine the proposed continuous review inventory model.This study found that by using fuzzy trapezoidal cost, the inventory turnover ratio can be increased, and inventory cost can be decreased by 78% for each item in “class A” inventory. Keywords:ABC multi-criteria classification, FANP-TOPSIS, continuous review inventory model lead-time demand distribution, trapezoidal fuzzy number

  14. Fuzzy Continuous Review Inventory Model using ABC Multi-Criteria Classification Approach: A Single Case Study

    Directory of Open Access Journals (Sweden)

    Meriastuti - Ginting

    2015-07-01

    Full Text Available Abstract. Inventory is considered as the most expensive, yet important,to any companies. It representsapproximately 50% of the total investment. Inventory cost has become one of the majorcontributorsto inefficiency, therefore it should be managed effectively. This study aims to propose an alternative inventory model,  by using ABC multi-criteria classification approach to minimize total cost. By combining FANP (Fuzzy Analytical Network Process and TOPSIS (Technique of Order Preferences by Similarity to the Ideal Solution, the ABC multi-criteria classification approach identified 12 items of 69 inventory items as “outstanding important class” that contributed to 80% total inventory cost. This finding  is then used as the basis to determine the proposed continuous review inventory model.This study found that by using fuzzy trapezoidal cost, the inventory  turnover ratio can be increased, and inventory cost can be decreased by 78% for each item in “class A” inventory.Keywords:ABC multi-criteria classification, FANP-TOPSIS, continuous review inventory model lead-time demand distribution, trapezoidal fuzzy number 

  15. Multi-criteria fuzzy decision-making method with interval-valued intuitionistic fuzzy sets based on relative superiority%基于相对优势度的区间直觉模糊多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    王中兴; 唐芝兰; 牛利利

    2012-01-01

    基于区间数的相对优势度,提出了区间直觉模糊数的相对优势度概念。通过构建区间直觉模糊数比较的相对优势度矩阵,结合基于互补判断矩阵的排序公式,给出了一种区间直觉模糊数的排序方法,并将此排序方法应用到属性权重未知的区间直觉模糊多属性决策当中。最后,通过算例分析说明了该方法的有效性和可行性。%Based on the relative superiority of interval numbers, the definition of relative superiority of interval-valued intuitionistic fuzzy set (IVIFS) was proposed. And then, a ranking method combined with the priority formula was obtained by establishing a relative superiority matrix of IVIFS. Furthermore, this method was applied to multi-criteria fuzzy decision making with unknown attribute weight information, in which criteria values for alternatives are IVIFSs. And finally, an illustrative example was given to demonstrate the developed method and to show its validation and practicality.

  16. Review of Multi-Criteria Decision Aid for Integrated Sustainability Assessment of Urban Water Systems - MCEARD

    Science.gov (United States)

    Integrated sustainability assessment is part of a new paradigm for urban water decision making. Multi-criteria decision aid (MCDA) is an integrative framework used in urban water sustainability assessment, which has a particular focus on utilising stakeholder participation. Here ...

  17. Review of Multi-Criteria Decision Aid for Integrated Sustainability Assessment of Urban Water Systems - MCEARD

    Science.gov (United States)

    Integrated sustainability assessment is part of a new paradigm for urban water decision making. Multi-criteria decision aid (MCDA) is an integrative framework used in urban water sustainability assessment, which has a particular focus on utilising stakeholder participation. Here ...

  18. FSAW for REIT selection in multi-criteria decision making

    Science.gov (United States)

    Adawiyah, C. W. Rabiatul; Abdullah, Lazim

    2014-07-01

    Real Estate Investment Trust (REIT) is profitable investments that gain Malaysian investors' attention. It can be a great way to increase our net worth. Due to the existence of many property trusts, investors face difficulties in determining the best property trusts to invest their wealth. This high risk investment makes investors cautious in choosing the platform for investing their wealth. In real world situation, the data collected are inexact and ambiguous. Investment reminds investors to beware because it carries risk no matter low or high. There are lots of things that investors need to consider before invest in any property or trust. The aim of this paper is to identify the best criteria of REIT and determine the best property trust that helps investors gain profits in their investment. Four experts in areas of investment are randomly selected to assess and provide information regarding to Malaysia's REITs. Decision makers were asked to rate the criteria for every alternatives by using the linguistic variables. The five linguistic variables were used as input data to test fuzzy simple additive weighting (FSAW) model. From the study conducted, transparency indicates the necessary criteria for each property trust. This decision making model used to be possible to test FSAW model in investment sector. The decision makers also asked to evaluate the alternatives based on the linguistic ranking variables to rank the alternatives and the result shows the best alternative in this case is Amanah Harta Tanah PNB. The ranking signifies the impact of the criterion and alternatives to investors especially REITs investors.

  19. Multi-criteria Group Decision Making Approach for Teacher Recruitment in Higher Education under Simplified Neutrosophic Environment

    Directory of Open Access Journals (Sweden)

    Kalyan Mondal

    2014-12-01

    Full Text Available Teacher recruitment is a multi-criteria group decisionmaking process involving subjectivity, imprecision, and fuzziness that can be suitably represented by neutrosophic sets. Neutrosophic set, a generalization of fuzzy sets is characterized by a truth-membership function, falsity-membership function and an indeterminacy-membership function. These functions are real standard or non-standard subsets of ] 0-, 1+[ .There is no restriction on the sum of the functions, so the sum lies between ]0-, 3+[. A neutrosophic approach is a more general and suitable way to deal with imprecise information, when compared to a fuzzy set. The purpose of this study is to develop a neutrosophic multi-criteria group decision-making model based on hybrid scoreaccuracy functions for teacher recruitment in higher education. Eight criteria obtained from expert opinions are considered for recruitment process. The criteria are namely academic performance index, teaching aptitude, subject knowledge, research experience, leadership quality, personality, management capacity, and personal values. In this paper we use the score and accuracy functions and the hybrid score-accuracy functions of single valued neutrosophic numbers (SVNNs and ranking method for SVNNs. Then, multi-criteria group decision-making method with unknown weights for attributes and incompletely known weights for decision makers is used based on the hybrid score-accuracy functions under single valued neutrosophic environments. We use weight model for attributes based on the hybrid score-accuracy functions to derive the weights of decision makers and attributes from the decision matrices represented by the form of SVNNs to decrease the effect of some unreasonable evaluations. Moreover, we use the overall evaluation formulae of the weighted hybrid scoreaccuracy functions for each alternative to rank the alternatives and recruit the most desirable teachers. Finally, an educational problem for teacher selection is

  20. 基于k-可加模糊测度的变权多属性决策分析%Multi-criteria Decision Making Based on Variable Weights and k-Additive Fuzzy Measures

    Institute of Scientific and Technical Information of China (English)

    章玲; 周德群; 张佳春

    2007-01-01

    k-可加模糊测度具有很好的柔性,该文采用k-可加模糊测度对基于关联的变权多属性决策(multi-criteria decision making,MCDM)中属性和属性集的重要程度建模;依据模糊测度理论和属性间独立情形下的变权理论定义基于k-可加模糊测度的变权和状态变权的公理体系;依据Marichal熵理论讨论基于关联的变权MCDM问题的k-可加模糊测度的求解,依据模糊积分计算决策方案的综合评价值,以此对方案进行排序并选择最优方案;最后以某煤炭企业选择接替资源为例验证了理论和模型的合理性和可行性.

  1. 基于直觉梯形模糊信息的多准则群决策方法%Multi-criteria group decision-making method based on intuitionistic trapezoidal fuzzy information

    Institute of Scientific and Technical Information of China (English)

    王坚强; 聂荣荣

    2012-01-01

    针对现有直觉梯形模糊数算术运算的不足,提出新的直觉梯形模糊数的算术运算.在此基础上,定义了直觉梯形模糊数的几种集结算子,讨论了这些算子的性质,并将直觉梯形模糊集结算子用于群决策中,提出了相应的多准则群决策方法.最后通过算例分析验证所提方法的有效性与合理性.%With respect to the limitations in existing papers, the new arithmetic operations of intuitionistic trapezoidal fuzzy numbers are defined. Then some aggregation operators of intuitionistic trapezoidal fuzzy numbers as well as their properties are proposed. The proposed aggregation operators are applied into the group decision making problems and a solution method is developed. In the end, a numerical example is illustrated to show the proposed decision making method's effectiveness and rationality.

  2. Multi-criteria decision-making method based on intuitionistic normal fuzzy aggregation operators%基于直觉正态模糊集结算子的多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    王坚强; 李康健

    2013-01-01

    Intuitionistic normal fuzzy numbers as well as their operational laws and Euclidean distance are defined,and some intuitionistic normal fuzzy aggregation operators including weighted arithmetic averaging operator and weighted geometric averaging operator are also defined.For multiple criteria decision making problems,in which the criteria values are intuitionistic normal fuzzy numbers and the criteria weight information is incomplete,an approach based on intuitionistic normal fuzzy aggregation operators is proposed.The optimal criteria weights are obtained by an optimal model based on the minimum of the sum of the distance between every two alternatives.And after aggregating criteria values by using intuitionistic normal fuzzy aggregation operators,the comprehensive evaluation values of all alternatives can be gotten.Then,the ranking of the whole alternatives set can be obtained by comparing the relative closeness of alternatives to the ideal and anti-ideal solutions.An example is given to show the feasibility and availability of the method.%定义了直觉正态模糊数及其运算法则、Euclidean距离、直觉正态模糊加权算术平均算子和直觉正态模糊加权几何平均算子.针对准则值为直觉正态模糊数而权重信息不完全的多准则决策问题,提出了一种基于直觉正态模糊集结算子的决策方法.该方法首先利用各方案之间的距离和最小化思想建立优化模型求得最优权重,然后利用集结算子对各准则进行集结,从而得到各方案的综合评价值,最后通过比较它们跟正负理想方案间的相对贴近度的大小,得到方案集的排序.实例表明该方法的有效性和可行性.

  3. A Survey of Enterprise Architecture Analysis Using Multi Criteria Decision Making Models (MCDM)

    Science.gov (United States)

    Zia, Mehmooda Jabeen; Azam, Farooque; Allauddin, Maria

    System design becomes really important for software production due to continuous increase in size and complexity of software systems. It is a complex design activity to build architecture for the systems like large enterprises. Thus it is a critical issue to select the correct architecture in software engineering domain. Moreover, in enterprise architecture selection different goals and objectives must be taken into consideration as it is a multi-criteria decision making problem. Generally this field of enterprise architecture analysis has progressed from the application of linear weighting, through integer programming and linear programming to multi-criteria decision making (MCDM) models. In this paper we survey two multi-criteria decision making models (AHP, ANP) to determine that to what extent they have been used in making powerful decisions in complex enterprise architecture analysis. We have found that by using ANP model, decision makers of an enterprise can make more precise and suitable decisions in selection of enterprise architecture styles.

  4. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions.

    Science.gov (United States)

    Broekhuizen, Henk; Groothuis-Oudshoorn, Catharina G M; van Til, Janine A; Hummel, J Marjan; IJzerman, Maarten J

    2015-05-01

    Multi-criteria decision analysis (MCDA) is increasingly used to support decisions in healthcare involving multiple and conflicting criteria. Although uncertainty is usually carefully addressed in health economic evaluations, whether and how the different sources of uncertainty are dealt with and with what methods in MCDA is less known. The objective of this study is to review how uncertainty can be explicitly taken into account in MCDA and to discuss which approach may be appropriate for healthcare decision makers. A literature review was conducted in the Scopus and PubMed databases. Two reviewers independently categorized studies according to research areas, the type of MCDA used, and the approach used to quantify uncertainty. Selected full text articles were read for methodological details. The search strategy identified 569 studies. The five approaches most identified were fuzzy set theory (45% of studies), probabilistic sensitivity analysis (15%), deterministic sensitivity analysis (31%), Bayesian framework (6%), and grey theory (3%). A large number of papers considered the analytic hierarchy process in combination with fuzzy set theory (31%). Only 3% of studies were published in healthcare-related journals. In conclusion, our review identified five different approaches to take uncertainty into account in MCDA. The deterministic approach is most likely sufficient for most healthcare policy decisions because of its low complexity and straightforward implementation. However, more complex approaches may be needed when multiple sources of uncertainty must be considered simultaneously.

  5. A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm

    Directory of Open Access Journals (Sweden)

    Nikhil Chandra Chatterjee

    2013-01-01

    Full Text Available Today global warming is on the rise and the natural resources are getting consumed at a faster rate. Power consumption has increased many folds to cater the human need. Thus renewable energy resources are the only option available at this juncture. Wind energy is one of the renewable energy. Location selection for wind farm takes an important role on power generation. However, the location selection is a complex multicriteria problem due to the criteria factors which are conflicting in nature as well as uncertain. The process becomes more complex when a group of decision makers are involved in decision making. In the present study, a COPRAS (COmplex PRoportional ASsessment based multi-criteria decision-making (MCDM methodology is done under fuzzy environment with the help of multiple decision makers. More specifically, this study is aimed to focus the applicability of COPRAS-F as a strategic decision making tools to handle the group decision-making problems.

  6. Multi-Criteria Decision Support Queries in Exploratory & Open World Settings

    DEFF Research Database (Denmark)

    Mortensen, Michael Lind

    2016-01-01

    -world decisions if provided with the right tools. The class of multi-criteria decision support queries is said to be one such set of tools, with skyline and top-$k$ queries being the main representatives. Over the past decades, skylines and top-$k$ queries have been extensively studied, yet due to a number...... the theory and intent of multi-criteria decision support queries and how users actually analyze their options and make decisions in real life. The thesis is separated into two parts. In the first part, we investigate the use of skyline queries for exploratory search, in which users pose a string of related......-based methods for their efficient computation in those settings. We also present a method for the targeted sampling of $k$-representative skyline points, enabling a fixed size diverse and relevant overview of all options. In the second part, we investigate the expansion of multi-criteria decision support...

  7. Multi-criteria and multi-experts decision-making method for process resource evaluation and selection based on fuzzy preference relation%基于模糊偏好关系的工艺资源评价与选择的多准则群决策方法

    Institute of Scientific and Technical Information of China (English)

    刘晓军; 倪中华; 杨章群

    2014-01-01

    以加工操作序列的选择过程为例,提出了基于模糊偏好关系的工艺资源评价与选择的多准则群决策方法。首先将加工效率、加工成本、设备负载、尺寸精度、表面粗糙度、形状精度和位置精度等评判准则分为定性、定量2种模糊偏好类型,实现定性模糊偏好准则的定量化,建立定量模糊偏好准则的隶属度函数。基于此,建立各评判准则的模糊偏好矩阵,并基于C-IOWA算子对多个决策专家的评估结果进行集结,生成一致性模糊偏好矩阵。然后,求出评判矩阵的排序向量,从而实现对备选加工操作序列评价和选择。最后,通过实例验证该方法的有效性。%Taking the selection process of a machining operation sequence for example,the multi-cri-teria and multi-experts decision-making method for process resource evaluation and selection based on fuzzy preference relations is proposed.The fuzzy preference relations for different assessment criteria, such as processing efficiency,processing costs,equipment load,dimensional accuracy,surface rough-ness,form accuracy and position accuracy,are divided into quantitative fuzzy preference and qualita-tive fuzzy preference.The quantitative depiction of qualitative fuzzy preference criteria is given,and the function for quantitative fuzzy preferences criteria membership is established.Based on the C-IO-WA,the aggregate method of the fuzzy preference relation matrices for multi-criteria and multi-experts assessment results is studied,which is used to obtain the consistency fuzzy preference matrix.Then, the method for computing the priority weight vector,which is used as the evaluation and selection cri-teria,is given.Finally,an example is used to verify the validity of the proposed method.

  8. Web Service Component Reusability Evaluation: A Fuzzy Multi-Criteria Approach

    Directory of Open Access Journals (Sweden)

    Aditya Pratap Singh

    2016-01-01

    Full Text Available The service oriented architecture supports reusable components. Component reusability is one of the important features while designing web services for reuse. The reusability is an ideal and key factor to improve the quality and production rate of software. It becomes very helpful for quality assurance, if such quality parameters can be quantified. Non functional quality parameters like reusability are not easy to measure and quantify. This paper attempts to quantify reusability using fuzzy multi criteria approach. This approach is considered due to the unpredictable nature of reusability attributes. For the estimation of reusability, the paper identifies 5 key attributes of reusability i.e. Coupling, Interface Complexity, Security, Response Time and Statelessness in context of web service components.

  9. Multi-criteria optimisation problems for chemical engineering systems and algorithms for their solution based on fuzzy mathematical methods

    Science.gov (United States)

    Orazbayev, B. B.; Orazbayeva, K. N.; Kurmangaziyeva, L. T.; Makhatova, V.E.

    2015-01-01

    Mathematical equations for the multi-criteria task of the optimisation of chemical engineering systems, for example for the optimisation of working regimes for industrial installations for benzene production, have been formulated and developed, and based on fuzzy mathematical methods, algorithms for their solution have been developed. Since the chemical engineering system, which is being researched, is characterised by multiple criteria and often functions in conditions of uncertainty, the presenting problem is formulated in the form of multi-criteria equations for fuzzy mathematical programming. New mathematical formulations for the problems being solved in a fuzzy environment and heuristic algorithms for their solution have been developed by the modification of various optimisation principles based on fuzzy mathematical methods.

  10. Multi-criteria optimisation problems for chemical engineering systems and algorithms for their solution based on fuzzy mathematical methods.

    Science.gov (United States)

    Orazbayev, B B; Orazbayeva, K N; Kurmangaziyeva, L T; Makhatova, V E

    2015-01-01

    Mathematical equations for the multi-criteria task of the optimisation of chemical engineering systems, for example for the optimisation of working regimes for industrial installations for benzene production, have been formulated and developed, and based on fuzzy mathematical methods, algorithms for their solution have been developed. Since the chemical engineering system, which is being researched, is characterised by multiple criteria and often functions in conditions of uncertainty, the presenting problem is formulated in the form of multi-criteria equations for fuzzy mathematical programming. New mathematical formulations for the problems being solved in a fuzzy environment and heuristic algorithms for their solution have been developed by the modification of various optimisation principles based on fuzzy mathematical methods.

  11. INTEGRATED APPROACH TO MULTI-CRITERIA DECISION MAKING FOR SUSTAINABLE PRODUCT DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Tarun Soota

    2014-12-01

    Full Text Available New product developments are a moving target which become increasing complex due to a number of factors some known and others unknown. NPD is an interdisciplinary activity that transforms a market opportunity and technological concept to a successful product. The key steps towards creating a winning product must include a robust product strategy taking into consideration the positioning options, its viability and adopting a flexible development approach. The lack of structure to the allocation of product development resources causes customer expectations to get lost, in the complexity of the product development process. The replication of strategy and methods for a successful product may not guarantee success. Fuzzy Multi-criteria decision analysis (MCDA methods namely the analytic hierarchy process, analytic network process, technique for order preference by similarity to ideal solutions (TOPSIS and Elimination and choice translating reality (ELECTRE offer valuable tools to handle complex situations incorporating the imprecise and uncertain information. As each method has its strengths it may be proper to explore and adapt different techniques according to product for sustainable development. Company should be able to put together the combination of features and value that unlocks a profitable new market.

  12. Multi Criteria Decision Making to evaluate control strategies of contagious animal diseases

    NARCIS (Netherlands)

    Mourits, M.C.M.; Asseldonk, van M.A.P.M.; Huirne, R.B.M.

    2010-01-01

    The decision on which strategy to use in the control of contagious animal diseases involves complex trade-offs between multiple objectives. This paper describes a Multi Criteria Decision Making (MCDM) application to illustrate its potential support to policy makers in choosing the control strategy

  13. Conceptual framework for potential implementations of multi criteria decision making (MCDM) methods for design quality assessment

    NARCIS (Netherlands)

    Harputlugil, T.; Prins, M.; Tanju Gültekin, A.; Ilker Topçu, Y.

    2011-01-01

    Architectural design can be considered as a process influenced by many stakeholders, each of which has different decision power. Each stakeholder might have his/her own criteria and weightings depending on his/her own perspective and role. Hence design can be seen as a multi-criteria decision making

  14. Conceptual framework for potential implementations of multi criteria decision making (MCDM) methods for design quality assessment

    NARCIS (Netherlands)

    Harputlugil, T.; Prins, M.; Tanju Gültekin, A.; Ilker Topçu, Y.

    2011-01-01

    Architectural design can be considered as a process influenced by many stakeholders, each of which has different decision power. Each stakeholder might have his/her own criteria and weightings depending on his/her own perspective and role. Hence design can be seen as a multi-criteria decision making

  15. Multi Criteria Decision Making to evaluate control strategies of contagious animal diseases

    NARCIS (Netherlands)

    Mourits, M.C.M.; Asseldonk, van M.A.P.M.; Huirne, R.B.M.

    2010-01-01

    The decision on which strategy to use in the control of contagious animal diseases involves complex trade-offs between multiple objectives. This paper describes a Multi Criteria Decision Making (MCDM) application to illustrate its potential support to policy makers in choosing the control strategy t

  16. A fuzzy analytic network process for multi-criteria evaluation of contaminated site remedial countermeasures.

    Science.gov (United States)

    Promentilla, Michael Angelo B; Furuichi, T; Ishii, K; Tanikawa, N

    2008-08-01

    The Analytic Network Process (ANP) has been proposed to incorporate interdependence and feedback effect in the prioritization of remedial countermeasures using a hierarchical network decision model, but this approach seems to be incapable of capturing the vagueness and fuzziness during value judgment elicitation. The aim of this paper is to present an evaluation method using a fuzzy ANP (FANP) approach to address this shortcoming. Triangular fuzzy numbers (TFN) and their degree of fuzziness are used in the semantic scale as human judgment expressed in natural language is most often vague and fuzzy. The method employs the alpha-cuts, interval arithmetic and optimism index to transform the fuzzy comparative judgment matrix into set of crisp matrices, and then calculates the desired priorities using the eigenvector method. A numerical example, which was drawn from a real-life case study of an uncontrolled landfill in Japan, is presented to demonstrate the process. Results from the sensitivity analysis describe how the fuzziness in judgment could affect the solution robustness of the prioritization method. The proposed FANP approach therefore could effectively deal with the uncertain judgment inherent in the decision making process and derive the meaningful priorities explicitly from a complex decision structure in the evaluation of contaminated site remedial countermeasures.

  17. A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

    CERN Document Server

    Tacnet, Jean-Marc; Dezert, Jean

    2010-01-01

    Mountain river torrents and snow avalanches gen- erate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and expertise is required for decision and risk management purposes using multi-disciplinary quantitative or qualitative approaches. Expertise is considered as a decision process based on imperfect information coming from more or less reliable and conflicting sources. A methodology mixing the Analytic Hierarchy Process (AHP), a multi-criteria aid-decision method, and information fusion using Belief Function Theory is described. Fuzzy Sets and Possibilities theories allow to transform quantitative and qualita- tive criteria into a common frame of discernment for decision in Dempster-Shafer Theory (DST ) and Dezert-Smarandache Theory (DSmT) contexts. Main issues consist in basic belief assignments elicitation, conflict identification and management, fusion rule choices, results validation but also in specific needs to make a difference between importa...

  18. 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...... as a decision support system (DSS). This COSIMA DSS ensures that the assessment is conducted in a systematic, transparent and explicit way. The modelling principles presented are illuminated with a case study concerning a complex decision problem. The outcome demonstrates the approach as a valuable DSS......, and it is concluded that appraisals of large transport projects can be effectively supported using a combination of CBA and MCDA. Finally, perspectives of the future modelling work are given....

  19. Multi-criteria linguistic interval group decision-making approach

    Institute of Scientific and Technical Information of China (English)

    Wang Jianqiang; Chen Xiaohong

    2008-01-01

    For group decision-making problems with linguistic assessment information,a new method based on two-tuple and WC-OWA operator is proposed,in which the criteria's weights and the decision-makers' preference information might take the form of linguistic grade,or might be between two continuous linguistic grades,or might be linguistic interval,or might be default.In this method,all linguistic values are transformed into two-tuple,and an aggregative decision-making matrix is obtained by using interval operation.The group aggregative values of each criterion on alternatives are computed by using a WC-OWA operator,the aggregative values on alternatives are worked out,and transformed into two-tuple.And the rank of the alternatives is obtained by using the order property of two-tuple.An example shows the feasibility and effectiveness of the proposed method.

  20. Cognitive modeling and multi criteria decision making in macroeconomic analysis

    Directory of Open Access Journals (Sweden)

    Leonova Nina

    2014-01-01

    Full Text Available Decision making in macroeconomics belongs to the class of ill-structured tasks with strong external factors interdependence, a limited number of management tools and experts groups' subjectivity. This paper suggests a technique of macroeconomic analysis which includes methods of cognitive modeling for formalizing a problem situation and scenario generation as a basis of the typical multicriteria decision making task. In turn, for solving this task is suggested a method based on measuring the distance to the 'ideal' solution with determining importance of criteria by finding objective, common component of all values measured by experts groups. For extracting this 'commonality' means of factor analysis are used. Such an approach allows separating of the objective part in experts' value from a subjective one, while the technique at whole provides formalization of macroeconomic problems and substantiation of decision-making in macroeconomics.

  1. Flood Vulnerability Assessment in Iskandar Malaysia Using Multi-criteria Evaluation and Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Nasim Yeganeh

    2014-10-01

    Full Text Available One of the most significant natural disasters in South-east Asia, is flooding. In Malaysia, for instance, Iskandar Malaysia region as a rapid urbanizing context located in southern peninsula has been affected by several flood events during last decade. Severe rainfall, natural situation, new unplanned developments and insufficient drainage systems mad the situation more considerable. This study seeks to address the crucial variables which contribute to the risk of flooding based on the characteristics of the region and develop a GIS-aided urban flood susceptibility map. The methodology emphasizes on uncertainty and multi-criteria which contribute to the risk of flood and increase the risk. As such, the Fuzzy logic, Multi-criteria ranking and Weighted Linear Combination (WLC methods in Geographic Information System (GIS are used to achieve the objectives. Distances from main stream, river and discharge channels, as well as other variables such as elevation, slope and land use are recognized as effective variables within the region. Final susceptibility map indicates that around 658 km2 out of 1,614 km2 within the region is under the high level of flooding risk. Different districts within the region include Pulai, Senai-Kulai, Tebrau and Johor Bahru can be considered as areas with a high risk of flooding. Natural and man-made situation influence the level of risk in each area. Generally the southern part of the region has a high level of risk as the consequence of conjunction between location of stream, lowland and land use type. Finally the situation in 2025 is investigated based on the proposed plan for 2025.

  2. An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter

    Science.gov (United States)

    Gorsevski, Pece V.; Jankowski, Piotr

    2010-08-01

    The Kalman recursive algorithm has been very widely used for integrating navigation sensor data to achieve optimal system performances. This paper explores the use of the Kalman filter to extend the aggregation of spatial multi-criteria evaluation (MCE) and to find optimal solutions with respect to a decision strategy space where a possible decision rule falls. The approach was tested in a case study in the Clearwater National Forest in central Idaho, using existing landslide datasets from roaded and roadless areas and terrain attributes. In this approach, fuzzy membership functions were used to standardize terrain attributes and develop criteria, while the aggregation of the criteria was achieved by the use of a Kalman filter. The approach presented here offers advantages over the classical MCE theory because the final solution includes both the aggregated solution and the areas of uncertainty expressed in terms of standard deviation. A comparison of this methodology with similar approaches suggested that this approach is promising for predicting landslide susceptibility and further application as a spatial decision support system.

  3. Multi-criteria decision making: an example of sensitivity analysis

    Directory of Open Access Journals (Sweden)

    Dragan S. Pamučar

    2017-05-01

    Full Text Available This study provides a model for result consistency evaluation of multicriterial decision making (MDM methods and selection of the optimal one. The model is based on the analysis of results of MDM methods, that is, the analysis of changes in rankings of MDM methods that occur as a result of alterations in input parameters. In the recommended model, we examine sensitivity analysis of MDM methods to changes in criteria weight and result consistency of methods to changes in measurement scale and the way in which we formulate criteria. In the final phase of the model, we select the most suitable method to solve the observed problem and the optimal alternative. The model is tested on an example, when the optimal MDM method selection was required in order to determine the location of the logistical center. During the selection process, TOPSIS, COPRAS, VIKOR and ELECTRE methods were considered. VIKOR method demonstrated the biggest stability of rankings and was selected as the most fit method for ranking the locations of the logistical center. Results of the demonstrated analysis indicate sensitivity of standard MDM methods to criteria considered in this work. Therefore, it is necessary, to take into account stability of the considered method during the selection process of the optimal method.

  4. Integrated application of entropy theory, variation coefficient and fuzzy multi-criteria decision making in surveying adjustment%熵权、变异系数及模糊多准则决策在测量平差中的综合应用

    Institute of Scientific and Technical Information of China (English)

    王永弟; 许承权; 范千

    2012-01-01

    针对测量平差中按经验定权的片面性,提出了更加全面的定权方法:熵权法定权或变异系数定权,并将模糊多准则决策引入测量平差,可根据定权结果进行定权方法的优选,减少计算工作量。通过实例计算表明,熵权法定权或变异系数定权平差结果精度更高,模糊多准则决策能够有效选择最佳的平差定权方案,并大大减少了计算工作量,从而验证了新方法的可行性和优越性,具有一定的实用价值。%In this paper, aiming at weakness of experience weighting in surveying adjustment, a comprehensive weighting method with entropy theory is presented. At the same time, fuzzy multi-criteria decision making is introduced to surveying adjustment so as to reduce compute time for weight selection. Practical examples show that the accuracy of adjustment results based on entropy theory and variation coefficient is higher. Fuzzy multiple-criteria decision making can be effective to choose the best weight of the adjustment, and greatly reduce the computational workload. The feasibility and advantages of the new method is verified and this method has some practical value.

  5. Prediction of Software Requirements Stability Based on Complexity Point Measurement Using Multi-Criteria Fuzzy Approach

    Directory of Open Access Journals (Sweden)

    D. Francis Xavier Christopher

    2012-12-01

    Full Text Available Many software projects fail due to instable requirements and lack of managing the requirements changesefficiently. Software Requirements Stability Index Metric (RSI helps to evaluate the overall stability ofrequirements and also keep track of the project status. Higher the stability, less changes tends topropagate. The existing system use Function Point modeling for measuring the Requirements Stability.However, the main drawback of the existing modeling is that the complexity of non-functional requirementshas not been measured for Requirements Stability. The Non-Functional Factors plays a vital role inassessing the Requirements Stability. Numerous Measurement methods have been proposed for measuringthe software complexity. This paper proposes Multi-criteria Fuzzy Based approach for finding out thecomplexity weight based on Requirement Complexity Attributes such as Functional RequirementComplexity, Non-Functional Requirement Complexity, Input Output Complexity, Interface and FileComplexity. Based on the complexity weight, this paper computes the software complexity point. And thenpredict the Software Requirements Stability based on Software Complexity Point changes. The advantageof this model is that it is able to estimate the software complexity early which in turn predicts the SoftwareRequirement Stability during the software development life cycle.

  6. 信息不完全确定的区间直觉模糊多属性决策方法%A Method of Multi-criteria Decision-making Based on Interval-valued Intuitionistic Fuzzy Sets with Incomplete Certain Information

    Institute of Scientific and Technical Information of China (English)

    谢海斌; 王中兴; 唐芝兰

    2011-01-01

    针对属性权重信息不完全确定且属性值为区间直觉模糊数的多属性决策问题,建立一个基于加权精确度函数的多目标线性规划模型来获取属性权重信息,然后求得每个方案的加权精确度函数,进而根据方案加权精确度函数对方案进行排序,最后通过算例分析说明该方法是有效和实用的.%With regard to the criteria weights with incomplete certain information and the criteria values in form of interval-valued intuitionistic fuzzy numbers in multi-criteria decision-makings multi-objective linear programming model is constructed based on weight-accuracy function to obtain the weight information,and then the weight-accuracy function is gotten for each alternative. Furthermore,the weight-accuracy function is used to get the priorities of alternatives. Finally,an example is used to illustrate the feasibility and effectiveness of the proposed approach.

  7. Defining criteria related to wastes for use in multi-criteria decision tool for nuclear accidents

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Diogo N.G.; Guimaraes, Jean R.D., E-mail: dneves@biof.ufrj.br, E-mail: jeanrdg@biof.ufrj.br [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Instituto de Biofisica Carlos Chagas Filho; Rochedo, Elaine R.R.; De Luca, Christiano, E-mail: elainerochedo@gmail.com, E-mail: christiano_luca@hotmail.com [Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear; Rochedo, Pedro R.R., E-mail: rochedopedro@gmail.com [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Instituto Alberto Luiz Coimbra de Pos-Graduacao e Pesquisa de Engenharia

    2013-07-01

    The selection of protective measures and strategies for remediation of contaminated areas after a nuclear accident must be based on previously established criteria in order to prevent stress of the population and the unnecessary exposure of workers. After a nuclear accident resulting in environmental contamination, decisions on remediation of areas is complex due to the large numbers of factors involved in decontamination processes. This work is part of a project which aims to develop a multi-criteria tool to support a decision-making process in cases of a radiological or a nuclear accident in Brazil. First, a database of remediation strategies for contaminated areas was created. In this process, the most relevant aspects for the implementation of these strategies were considered, including technical criteria regarding aspects related to the generation of wastes in a reference urban area, which are discussed in this paper. The specific objective of this study is to define criteria for the aspects of radioactive wastes, resulted by the implementation of some urban measures, in order to be incorporated in a multi-criteria decision tool. Main aspects considered were the type, the amount and the type of treatment necessary for each procedure. The decontamination procedures are then classified according to the selected criteria in order to feed the multi-criteria decision tool. This paper describes the steps for the establishment of these criteria and evaluates the potential for future applications in order to improve predictions and to support the decisions to be made. (author)

  8. The use of multi-criteria decision analysis to tackle waste management problems: a literature review.

    Science.gov (United States)

    Achillas, Charisios; Moussiopoulos, Nicolas; Karagiannidis, Avraam; Banias, Georgias; Perkoulidis, George

    2013-02-01

    Problems in waste management have become more and more complex during recent decades. The increasing volumes of waste produced and social environmental consciousness present prominent drivers for environmental managers towards the achievement of a sustainable waste management scheme. However, in practice, there are many factors and influences - often mutually conflicting - criteria for finding solutions in real-life applications. This paper presents a review of the literature on multi-criteria decision aiding in waste management problems for all reported waste streams. Despite limitations, which are clearly stated, most of the work published in this field is reviewed. The present review aims to provide environmental managers and decision-makers with a thorough list of practical applications of the multi-criteria decision analysis techniques that are used to solve real-life waste management problems, as well as the criteria that are mostly employed in such applications according to the nature of the problem under study. Moreover, the paper explores the advantages and disadvantages of using multi-criteria decision analysis techniques in waste management problems in comparison to other available alternatives.

  9. Air Conditioner Selection with TOPSIS and VIKOR Methods In Multi Criteria Decision Making

    Directory of Open Access Journals (Sweden)

    İrfan ERTUĞRUL

    2014-06-01

    Full Text Available Technological and global changes nowadays enable air conditioning sector to gain a higher importance. Short and long term risks for comsumers, the use of air conditioningtechnology with cost minimization, the increase of product charesteristics and firms, and the variability of product features have led to the need for multi-criteria decision. Therefore, caring the multiple criteria and the alternatives, the multi-criteria decision making techniques are taken to the scope of application. The purpose of the study is to determine the factors which affect the decision of air conditioning choice and to present the preference ranking suggestion. Having the nearly have got the approximately equivalent heating and cooling capacity, air conditionings in A+ class are included in the scope of related research. In application, when choosing air conditioning products, Topsis and Vikor that are multi-criteria decision-making methods are used and the results are compared and evaluated. When choosing air conditioning products, preference plansa re presented in the application.

  10. Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets

    Science.gov (United States)

    Tian, Zhang-peng; Zhang, Hong-yu; Wang, Jing; Wang, Jian-qiang; Chen, Xiao-hong

    2016-11-01

    In this paper, two optimisation models are established to determine the criterion weights in multi-criteria decision-making situations where knowledge regarding the weight information is incomplete and the criterion values are interval neutrosophic numbers. The proposed approach combines interval neutrosophic sets and TOPSIS, and the closeness coefficients are expressed as interval numbers. Furthermore, the relative likelihood-based comparison relations are constructed to determine the ranking of alternatives. A fuzzy cross-entropy approach is proposed to calculate the discrimination measure between alternatives and the absolute ideal solutions, after a transformation operator has been developed to convert interval neutrosophic numbers into simplified neutrosophic numbers. Finally, an illustrative example is provided, and a comparative analysis is conducted between the approach developed in this paper and other existing methods, to verify the feasibility and effectiveness of the proposed approach.

  11. A Hybrid Multi-Criteria Decision Model for Technological Innovation Capability Assessment: Research on Thai Automotive Parts Firms

    Directory of Open Access Journals (Sweden)

    Sumrit Detcharat

    2013-01-01

    Full Text Available The efficient appraisal of technological innovation capabilities (TICs of enterprises is an important factor to enhance competitiveness. This study aims to evaluate and rank TICs evaluation criteria in order to provide a practical insight of systematic analysis by gathering the qualified experts’ opinions combined with three methods of multi-criteria decision making approach. Firstly, Fuzzy Delphi method is used to screen TICs evaluation criteria from the recent published researches. Secondly, the Analytic Hierarchy Process is utilized to compute the relative important weights. Lastly, the VIKOR method is used to rank the enterprises based on TICs evaluation criteria. An empirical study is applied for Thai automotive parts firms to illustrate the proposed methods. This study found that the interaction between criteria is essential and influences TICs; furthermore, this ranking development of TICs assessment is also one of key management tools to simply facilitate and offer a new mindset for managements of other related industries.

  12. A Review and Classification of Approaches for Dealing with Uncertainty in Multi-Criteria Decision Analysis for Healthcare Decisions

    NARCIS (Netherlands)

    Broekhuizen, Hindrik; Groothuis-Oudshoorn, Catharina Gerarda Maria; van Til, Janine Astrid; Hummel, J. Marjan; IJzerman, Maarten Joost

    2015-01-01

    Multi-criteria decision analysis (MCDA) is increasingly used to support decisions in healthcare involving multiple and conflicting criteria. Although uncertainty is usually carefully addressed in health economic evaluations, whether and how the different sources of uncertainty are dealt with and wit

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

    Science.gov (United States)

    Jaramillo, Hector Eduardo Castro; 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.

  14. 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.

  15. Using multi-criteria decision analysis to assess the vulnerability of drinking water utilities.

    Science.gov (United States)

    Joerin, Florent; Cool, Geneviève; Rodriguez, Manuel J; Gignac, Marc; Bouchard, Christian

    2010-07-01

    Outbreaks of microbiological waterborne disease have increased governmental concern regarding the importance of drinking water safety. Considering the multi-barrier approach to safe drinking water may improve management decisions to reduce contamination risks. However, the application of this approach must consider numerous and diverse kinds of information simultaneously. This makes it difficult for authorities to apply the approach to decision making. For this reason, multi-criteria decision analysis can be helpful in applying the multi-barrier approach to vulnerability assessment. The goal of this study is to propose an approach based on a multi-criteria analysis method in order to rank drinking water systems (DWUs) based on their vulnerability to microbiological contamination. This approach is illustrated with an application carried out on 28 DWUs supplied by groundwater in the Province of Québec, Canada. The multi-criteria analysis method chosen is measuring attractiveness by a categorical based evaluation technique methodology allowing the assessment of a microbiological vulnerability indicator (MVI) for each DWU. Results are presented on a scale ranking DWUs from less vulnerable to most vulnerable to contamination. MVI results are tested using a sensitivity analysis on barrier weights and they are also compared with historical data on contamination at the utilities. The investigation demonstrates that MVI provides a good representation of the vulnerability of DWUs to microbiological contamination.

  16. \\alpha-Discounting Multi-Criteria Decision Making (\\alpha-D MCDM)

    CERN Document Server

    Smarandache, Florentin

    2010-01-01

    In this paper we introduce a new method called \\alpha-Discounting Multi-Criteria Decision Making (\\alpha-D MCDM), which is an aletrnative and extension of Saaty's Analytical Hierarchy Process (AHP). It works for any set of preferences that can be transformed into a system of homogeneous linear equations. A degree of consistency (and implicitly a degree of inconsistency) of a decision-making problem are defined. \\alpha-D MCDM is then generalized to a set of preferences that can be transformed into a system of linear and/or non-linear equations and/or inequalities. Many consistent, weak inconsistent, and strong inconsistent examples are given.

  17. 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.

  18. A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences

    DEFF Research Database (Denmark)

    Shen, Lixin; Olfat, Laya; Govindan, Kannan

    2012-01-01

    protection and the corresponding increase in legislation and regulations, green purchasing has become an important issue for companies to gain environmental sustainability. Traditionally, companies consider criteria such as price, quality and lead time, when evaluating supplier performance and do not give...... enough attention to environmental criteria as a means to evaluate suppliers. Now, many companies have begun to implement green supply chain management (GSCM) and to consider environmental issues and the measurement of their suppliers' environmental performance. This paper examines GSCM to propose a fuzzy...... multi criteria approach for green suppliers' evaluation. We apply fuzzy set theory to translate the subjective human perceptions into a solid crisp value. These linguistic preferences are combined through fuzzy TOPSIS to generate an overall performance score for each supplier. A numerical example...

  19. 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.

  20. Earthquake Vulnerability Assessment for Hospital Buildings Using a Gis-Based Group Multi Criteria Decision Making Approach: a Case Study of Tehran, Iran

    Science.gov (United States)

    Delavar, M. R.; Moradi, M.; Moshiri, B.

    2015-12-01

    Nowadays, urban areas are threatened by a number of natural hazards such as flood, landslide and earthquake. They can cause huge damages to buildings and human beings which necessitates disaster mitigation and preparation. One of the most important steps in disaster management is to understand all impacts and effects of disaster on urban facilities. Given that hospitals take care of vulnerable people reaction of hospital buildings against earthquake is vital. In this research, the vulnerability of hospital buildings against earthquake is analysed. The vulnerability of buildings is related to a number of criteria including age of building, number of floors, the quality of materials and intensity of the earthquake. Therefore, the problem of seismic vulnerability assessment is a multi-criteria assessment problem and multi criteria decision making methods can be used to address the problem. In this paper a group multi criteria decision making model is applied because using only one expert's judgments can cause biased vulnerability maps. Sugeno integral which is able to take into account the interaction among criteria is employed to assess the vulnerability degree of buildings. Fuzzy capacities which are similar to layer weights in weighted linear averaging operator are calculated using particle swarm optimization. Then, calculated fuzzy capacities are included into the model to compute a vulnerability degree for each hospital.

  1. A comparison of representations for discrete multi-criteria decision problems.

    Science.gov (United States)

    Gettinger, Johannes; Kiesling, Elmar; Stummer, Christian; Vetschera, Rudolf

    2013-01-01

    Discrete multi-criteria decision problems with numerous Pareto-efficient solution candidates place a significant cognitive burden on the decision maker. An interactive, aspiration-based search process that iteratively progresses toward the most preferred solution can alleviate this task. In this paper, we study three ways of representing such problems in a DSS, and compare them in a laboratory experiment using subjective and objective measures of the decision process as well as solution quality and problem understanding. In addition to an immediate user evaluation, we performed a re-evaluation several weeks later. Furthermore, we consider several levels of problem complexity and user characteristics. Results indicate that different problem representations have a considerable influence on search behavior, although long-term consistency appears to remain unaffected. We also found interesting discrepancies between subjective evaluations and objective measures. Conclusions from our experiments can help designers of DSS for large multi-criteria decision problems to fit problem representations to the goals of their system and the specific task at hand.

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

    Science.gov (United States)

    Garfì, M; Tondelli, S; Bonoli, A

    2009-10-01

    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.

  3. 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.

  4. A multi-criteria decision making approach to identify a vaccine formulation.

    Science.gov (United States)

    Dewé, Walthère; Durand, Christelle; Marion, Sandie; Oostvogels, Lidia; Devaster, Jeanne-Marie; Fourneau, Marc

    2016-01-01

    This article illustrates the use of a multi-criteria decision making approach, based on desirability functions, to identify an appropriate adjuvant composition for an influenza vaccine to be used in elderly. The proposed adjuvant system contained two main elements: monophosphoryl lipid and α-tocopherol with squalene in an oil/water emulsion. The objective was to elicit a stronger immune response while maintaining an acceptable reactogenicity and safety profile. The study design, the statistical models, the choice of the desirability functions, the computation of the overall desirability index, and the assessment of the robustness of the ranking are all detailed in this manuscript.

  5. Il Risk Management nei progetti di investimento attraverso la Multi Criteria Decision Analysis

    Directory of Open Access Journals (Sweden)

    Elena Fregonara

    2009-10-01

    Full Text Available Usually, we consider Multi Criteria Decision Analysis (MCDA as a deterministic approach to support complex decisions, which involve multidisciplinary profiles. Furthermore, risk analysis is considered as an integral part of investments analysis, also in a probabilistic version. In this work, we are going to explore the applicability of probabilistic MCDA in supporting risk analysis practices (as a part of project management activities, in economic feasibility evaluation of the real estate investment projects. It is assumed a management approach based on adaptive approach instead of optimization approach; to operate in context characterized by the presence of risk/uncertainty components; that these components are able to perturb decision processes and strategic choices, conditioned by subjectivity/uncertainty of stakeholders and institutions in judgement definition phase (decision maker’s utility functions, criterion scores, ranking of alternatives, etc..

  6. Investigation of Multi-Criteria Decision Consistency: A Triplex Approach to Optimal Oilfield Portfolio Investment Decisions

    Science.gov (United States)

    Qaradaghi, Mohammed

    techniques that can provide more flexibility and inclusiveness in the decision making process, such as Multi-Criteria Decision Making (MCDM) methods. However, it can be observed that the MCDM literature: 1) is primarily focused on suggesting certain MCDM techniques to specific problems without providing sufficient evidence for their selection, 2) is inadequate in addressing MCDM in E&P portfolio selection and prioritization compared with other fields, and 3) does not address prioritizing brownfields (i.e., developed oilfields). This research study aims at addressing the above drawbacks through combining three MCDM methods (i.e., AHP, PROMETHEE and TOPSIS) into a single decision making tool that can support optimal oilfield portfolio investment decisions by helping determine the share of each oilfield of the total development resources allocated. Selecting these methods is reinforced by a pre-deployment and post-deployment validation framework. In addition, this study proposes a two-dimensional consistency test to verify the output coherence or prioritization stability of the MCDM methods in comparison with an intuitive approach. Nine scenarios representing all possible outcomes of the internal and external consistency tests are further proposed to reach a conclusion. The methodology is applied to a case study of six major oilfields in Iraq to generate percentage shares of each oilfield of a total production target that is in line with Iraq's aspiration to increase oil production. However, the methodology is intended to be applicable to other E&P portfolio investment prioritization scenarios by taking the specific contextual characteristics into consideration.

  7. 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

  8. Multi-criteria model to support decision-making for the remediation of urban areas

    Energy Technology Data Exchange (ETDEWEB)

    De Luca, Christiano; Lopes, Ricardo T., E-mail: christiano_luca@hotmail.com, E-mail: ricardo@lin.ufrj.br [Coordenacao dos Programas de Pos-Graduacao em Engenharia (COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear; Rochedo, Elaine R.R., E-mail: elainerochedo@gmail.com [Instituto de Radioprotecao e Dosimetria (IRD/CNEN-RJ), Rio de Janeiro, RJ (Brazil); Silva, Diogo N.G.; Guimaraes, Jean R.D., E-mail: diogons@gmail.com, E-mail: jeanrdg@biof.ufrj.br [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Instituto de Biofisica Carlos Chagas Filho; Rochedo, Pedro R.R., E-mail: rochedopedro@gmail.com [Coordenacao dos Programas de Pos-Graduacao em Engenharia (COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de de Planejamento Energetico; Wasserman, Maria Angelica V., E-mail: mwasserman@ien.gov.br [Instituto de Engenharia Nuclear (IEN/CNEN-RJ), Rio de Janeiro, RJ (Brazil)

    2015-07-01

    Under the environmental modeling Project of radioecology research area of IRD (CNEN), several tools have been developed to support post-emergency activities. Currently, a multi-criteria model is in development with the aim of supporting decision-making processes under the radiological protection point of view. At this stage, we are focusing on the decontamination of urban areas. The model includes five calculation modules: (1) averted doses to the public due to remediation procedures; (2) occupational exposure of remediation workers; (3) properties of the wastes generated by a remediation procedure; (4) classification of each procedure for a specific urban scenario based on previously calculated quantities; and, (5) multi-criteria rank calculation. The classification of procedures is based on two types of criteria previously defined, both also included as input data of the model. The first type, called Subjective Criteria, is based on experts' opinions collected through questionnaires. The second type, called Technical Criteria, is calculated according to the outputs of the three first modules of the program. The output of the model is a rank order list indicating the priority of procedures to use for each different type of urban environment. The use of results based on criteria and methods developed previously to the occurrence of a contamination event intends not only to provide an input to decision-making processes but also to improve public confidence on authorities responsible for the remediation decisions. (author)

  9. 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.

  10. GIS Based Multi-Criteria Decision Analysis For Cement Plant Site Selection For Cuddalore District

    Science.gov (United States)

    Chhabra, A.

    2015-12-01

    India's cement industry is a vital part of its economy, providing employment to more than a million people. On the back of growing demands, due to increased construction and infrastructural activities cement market in India is expected to grow at a compound annual growth rate (CAGR) of 8.96 percent during the period 2014-2019. In this study, GIS-based spatial Multi Criteria Decision Analysis (MCDA) is used to determine the optimum and alternative sites to setup a cement plant. This technique contains a set of evaluation criteria which are quantifiable indicators of the extent to which decision objectives are realized. In intersection with available GIS (Geographical Information System) and local ancillary data, the outputs of image analysis serves as input for the multi-criteria decision making system. Moreover, the following steps were performed so as to represent the criteria in GIS layers, which underwent the GIS analysis in order to get several potential sites. Satellite imagery from LANDSAT 8 and ASTER DEM were used for the analysis. Cuddalore District in Tamil Nadu was selected as the study site as limestone mining is already being carried out in that region which meets the criteria of raw material for cement production. Several other criteria considered were land use land cover (LULC) classification (built-up area, river, forest cover, wet land, barren land, harvest land and agriculture land), slope, proximity to road, railway and drainage networks.

  11. Prioritization of water management under climate change and urbanization using multi-criteria decision making methods

    Directory of Open Access Journals (Sweden)

    J.-S. Yang

    2011-11-01

    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. Since it is certain that the importance of cost component is over 0.127, use of the groundwater collected by subway stations will be the most preferred alternative in this application.

  12. Fuzzy Soft Sets Supporting Multi-Criteria Decision Processes

    Directory of Open Access Journals (Sweden)

    Sylvia Encheva

    2015-03-01

    Full Text Available Students experience various types of difficulties when it comes to examinations, where some of them are subject related while others are more of a psychological character. A number of factors influencing academic success or failure of undergraduate students are identified in various research studies. One of the many important questions related to that is how to select individuals endangered to be unable to complete a particular study program or a subject. The intention of this work is to develop an approach for early discovery of students who could face serious difficulties through their studies.

  13. Project management in mine actions using Multi-Criteria-Analysis-based decision support system

    Directory of Open Access Journals (Sweden)

    Marko Mladineo

    2014-12-01

    Full Text Available In this paper, a Web-based Decision Support System (Web DSS, that supports humanitarian demining operations and restoration of mine-contaminated areas, is presented. The financial shortage usually triggers a need for priority setting in Project Management in Mine actions. As part of the FP7 Project TIRAMISU, a specialized Web DSS has been developed to achieve a fully transparent priority setting process. It allows stakeholders and donors to actively join the decision making process using a user-friendly and intuitive Web application. The main advantage of this Web DSS is its unique way of managing a mine action project using Multi-Criteria Analysis (MCA, namely the PROMETHEE method, in order to select priorities for demining actions. The developed Web DSS allows decision makers to use several predefined scenarios (different criteria weights or to develop their own, so it allows project managers to compare different demining possibilities with ease.

  14. Application of Multi-Criteria Decision Making (MCDM) Technique for Gradation of Jute Fibres

    Science.gov (United States)

    Choudhuri, P. K.

    2014-12-01

    Multi-Criteria Decision Making is a branch of Operation Research (OR) having a comparatively short history of about 40 years. It is being popularly used in the field of engineering, banking, fixing policy matters etc. It can also be applied for taking decisions in daily life like selecting a car to purchase, selecting bride or groom and many others. Various MCDM methods namely Weighted Sum Model (WSM), Weighted Product Model (WPM), Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) and Elimination and Choice Translating Reality (ELECTRE) are there to solve many decision making problems, each having its own limitations. However it is very difficult to decide which MCDM method is the best. MCDM methods are prospective quantitative approaches for solving decision problems involving finite number of alternatives and criteria. Very few research works in textiles have been carried out with the help of this technique particularly where decision taking among several alternatives becomes the major problem based on some criteria which are conflicting in nature. Gradation of jute fibres on the basis of the criteria like strength, root content, defects, colour, density, fineness etc. is an important task to perform. The MCDM technique provides enough scope to be applied for the gradation of jute fibres or ranking among several varieties keeping in view a particular object and on the basis of some selection criteria and their relative weightage. The present paper is an attempt to explore the scope of applying the multiplicative AHP method of multi-criteria decision making technique to determine the quality values of selected jute fibres on the basis of some above stated important criteria and ranking them accordingly. A good agreement in ranking is observed between the existing Bureau of Indian Standards (BIS) grading and proposed method.

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

    Directory of Open Access Journals (Sweden)

    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.

  16. 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.

  17. 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.

  18. CHARACTER BASED WEIGHTED SUPPORT THRESHOLD ALGORITHM USING MULTI CRITERIA DECISION MAKING TECHNIQUE

    Directory of Open Access Journals (Sweden)

    Dr.T.Christopher

    2010-07-01

    Full Text Available An association rule technique generally used to generate frequent itemsets from databases and generates association rules by considering each item in the datasets. However, the values of items are different in many aspects in a number of real applications, such as retail marketing, network log, etc. The difference between items makes a strong impact on the decision making in these applications.Therefore, traditional Association Rule Mining(ARM cannot meet the demands arising from these applications. In this paper a new approach is introduced for computing profit weight of an item and generating frequent itemsets by minimum support threshold. The profit or theimportance of the items in the itemsets is computed, based on the item subjective measures of characteristic through the proposed Global Profit Weight (GPW algorithm using multi criteria decision making technique to improve the quality of output.

  19. 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.

  20. Development of a multi-criteria decision tool for remediation after a nuclear or radiological accident

    Energy Technology Data Exchange (ETDEWEB)

    Luca, Christiano de; Rochedo, Elaine R.R.; Ferreira, Nadya M.P.D., E-mail: christiano_luca@hotmail.com, E-mail: elainerochedo@gmail.com, E-mail: nadya@ime.eb.br [Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil)

    2013-07-01

    The review of accidents involving Nuclear Power Plants or facilities that use or process radioactive sources have raised issues related to the decision-making processes and to the procedures used to reestablish the normal living conditions in the affected areas. Due to the large complexity of the decision processes after accidents, a multi-criteria approach has been recommended to support the choice among the several procedures that may improve the environmental conditions. As part of the process of developing a multi-criteria decision support tool, a questionnaire was created to be fulfilled by experts to derive the relevance of the technical criteria to be considered in the model. At this stage, only the technical criteria related to radiation protection of the public will be focused; legal aspects, costs and public opinion, although relevant in the decision-making process, are beyond the scope of this work. The questionnaire contains 12 questions, each containing 5 degrees of importance. The answers are statically analyzed to generate a multiplicative factor to be included in the multicriteria model. To facilitate the process of distributing the questionnaire to the selected experts and then for a better processing and ordering of the information gathered, a program based on the Hypertext Preprocessor language (PHP) was created; this methodology has been chosen because of its compatibility and security in existing operating systems. The relevance rank showed the long-term dose reduction and the generation of wastes as the most relevant aspects to be considered in selecting remediation strategies for a contaminated area. (author)

  1. 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

  2. An exercise of stake holders involvement and multi-criteria decision aid for radioactively contaminated milk

    Energy Technology Data Exchange (ETDEWEB)

    Turcanu, C.O. [Universite Libre de Bruxelles (Belgium); Hardeman, F.; Carle, B. [Studiecentrum voor Kernenergie - Centre d' Etude de l' Energie Nucleaire, The Belgian Nuclear Research Centre Mol (Belgium)

    2006-07-01

    This paper focuses on a multi-criteria structuring process with stakeholders participation and illustrates its findings from a questionnaire conducted in the Belgian context. A multidisciplinary approach is adopted, which follows the practical problem in parallel with the methodological steps of multi-criteria decision aid. The chosen case study regards the countermeasures for the management of radioactively contaminated milk. This is motivated by the importance of milk in the food chain and the rapid transfer to milk of some radionuclides, such as{sup 131}I or {sup 137}Cs. The time framework addressed covers the early to intermediate phases of a radiological emergency. In case of milk, the limited storage facilities, as well as the constraints on the storage time of the fresh product (maximum 72 hours) lead to a certain time pressure on the decision process. The purpose of our analysis is twofold: on the one hand to provide support in case of a real crisis, but most importantly, to improve emergency preparedness and response and to facilitate exercises and training. The stakeholders interviewed range from real decision makers to representatives of the production and processing sectors. As expected, the points of view are sometimes divergent and therefore the results of the questionnaire are discussed and suggestions are formulated for conciliating the various points of view that come into play. The type of stakeholders process carried out is expected to ensure a higher degree of acceptability of the methodologies and tools employed. In the last section, provisional conclusions are drawn and directions for further development are envisaged. (N.C.)

  3. 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.

  4. Amplifying Each Patient's Voice: A Systematic Review of Multi-criteria Decision Analyses Involving Patients.

    Science.gov (United States)

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

    2017-04-01

    Qualitative methods tend to be used to incorporate patient preferences into healthcare decision making. However, for patient preferences to be given adequate consideration by decision makers they need to be quantified. Multi-criteria decision analysis (MCDA) is one way to quantify and capture the patient voice. The objective of this review was to report on existing MCDAs involving patients to support the future use of MCDA to capture the patient voice. MEDLINE and EMBASE were searched in June 2014 for English-language papers with no date restriction. The following search terms were used: 'multi-criteria decision*', 'multiple criteria decision*', 'MCDA', 'benefit risk assessment*', 'risk benefit assessment*', 'multicriteri* decision*', 'MCDM', 'multi-criteri* decision*'. Abstracts were included if they reported the application of MCDA to assess healthcare interventions where patients were the source of weights. Abstracts were excluded if they did not apply MCDA, such as discussions of how MCDA could be used; or did not evaluate healthcare interventions, such as MCDAs to assess the level of health need in a locality. Data were extracted on weighting method, variation in patient and expert preferences, and discussion on different weighting techniques. The review identified ten English-language studies that reported an MCDA to assess healthcare interventions and involved patients as a source of weights. These studies reported 12 applications of MCDA. Different methods of preference elicitation were employed: direct weighting in workshops; discrete choice experiment surveys; and the analytical hierarchy process using both workshops and surveys. There was significant heterogeneity in patient responses and differences between patients, who put greater weight on disease characteristics and treatment convenience, and experts, who put more weight on efficacy. The studies highlighted cognitive challenges associated with some weighting methods, though patients' views on their

  5. Applying Pareto multi-criteria decision making in concurrent engineering: A case study of polyethylene industry

    Directory of Open Access Journals (Sweden)

    Akbar A. Tabriz

    2011-07-01

    Full Text Available Concurrent engineering (CE is one of the widest known techniques for simultaneous planning of product and process design. In concurrent engineering, design processes are often complicated with multiple conflicting criteria and discrete sets of feasible alternatives. Thus multi-criteria decision making (MCDM techniques are integrated into CE to perform concurrent design. This paper proposes a design framework governed by MCDM technique, which are in conflict in the sense of competing for common resources to achieve variously different performance objectives such as financial, functional, environmental, etc. The Pareto MCDM model is applied to polyethylene pipe concurrent design governed by four criteria to determine the best alternative design to Pareto-compromise design.

  6. A review of multi-criteria decision making techniques for supplier evaluation and selection

    Directory of Open Access Journals (Sweden)

    Prince Agarwal

    2011-10-01

    Full Text Available Supplier evaluation and selection has been a vital issue of strategic importance for long time. Different multi-criteria decision making (MCDM approaches have been proposed by the researchers in past, to solve the supplier evaluation and selection problem. In this paper, we present a review of various MCDM methodologies reported in the literature for solving the supplier evaluation and selection process. The review is solely based on sixty-eight research articles, including eight review articles in the academic literature from 2000 to 2011. We try to find out the most prevalent approach in the articles and thereby present the future scope of arriving at an optimal solution to the problem, based on the specifications, the strategies and the requirements of the buyers. The study presents that with the change in processes and the requirements, how the approach of the manufacturing industry has shifted from striving for operational effectiveness to the strategic partnership in the dyadic relationship.

  7. Supplier Selection in the Thermal Tourism Enterprises with Using Multi Criteria Decision Making Techniques

    Directory of Open Access Journals (Sweden)

    Hatice Gündüz

    2015-06-01

    Full Text Available Turkey has many natural health resources and the interest in Thermal Tourism has increased. Thermal Tourism Enterprises serve their experienced medical staff, treatment methods and the curative springs for the purpose of care services. On the other hand, these enterprises are also the place to have both a rest and a good time. In this study, the supplier selection application is performed in the Thermal Tourism Enterprise that offers a combination of services as health, recreation and entertainment. The criteria as product quality and performance, product information, product arrival time, price, quality practices, flexibility and the collaboration level have been considered. By using multi-criteria decision making techniques as Analytic Hierarchy Process (AHP and TOPSIS then the suggestions on the selecting the best supplier are offered.

  8. Application of Multi Criteria Decision Making approaches for personnel selection problem: A survey

    Directory of Open Access Journals (Sweden)

    Mahdi Khorami

    2015-05-01

    Full Text Available Personnel selection is the critical stage of human resource management (HRM. It is undeniable fact that qualified personnel is one of the necessary building blocks for organization success because improper personnel might cause many obstacles for an organization and dissipates it resource as time, effort, and money. Indeed, complexity and the important role of personnel selection problem require the application of robust and equitable methods. An effective, helpful, and reliable approach has been developed to deal with personnel selection problem is multi criteria decision making (MCDM methods. In this paper, we focus on the application of MCDM methods for personnel selection problem and review numerous international journal articles accessible on famous academic databases.

  9. A multi-criteria decision analysis perspective on the health economic evaluation of medical interventions.

    Science.gov (United States)

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

    2014-09-01

    A standard practice in health economic evaluation is to monetize health effects by assuming a certain societal willingness-to-pay per unit of health gain. Although the resulting net monetary benefit (NMB) is easy to compute, the use of a single willingness-to-pay threshold assumes expressibility of the health effects on a single non-monetary scale. To relax this assumption, this article proves that the NMB framework is a special case of the more general stochastic multi-criteria acceptability analysis (SMAA) method. Specifically, as SMAA does not restrict the number of criteria to two and also does not require the marginal rates of substitution to be constant, there are problem instances for which the use of this more general method may result in a better understanding of the trade-offs underlying the reimbursement decision-making problem. This is illustrated by applying both methods in a case study related to infertility treatment.

  10. Multi-criteria decision making approaches for quality control of genome-wide association studies.

    Science.gov (United States)

    Malovini, Alberto; Rognoni, Carla; Puca, Annibale; Bellazzi, Riccardo

    2009-03-01

    Experimental errors in the genotyping phases of a Genome-Wide Association Study (GWAS) can lead to false positive findings and to spurious associations. An appropriate quality control phase could minimize the effects of this kind of errors. Several filtering criteria can be used to perform quality control. Currently, no formal methods have been proposed for taking into account at the same time these criteria and the experimenter's preferences. In this paper we propose two strategies for setting appropriate genotyping rate thresholds for GWAS quality control. These two approaches are based on the Multi-Criteria Decision Making theory. We have applied our method on a real dataset composed by 734 individuals affected by Arterial Hypertension (AH) and 486 nonagenarians without history of AH. The proposed strategies appear to deal with GWAS quality control in a sound way, as they lead to rationalize and make explicit the experimenter's choices thus providing more reproducible results.

  11. Multi-Criteria Decision Matrix Approach for Suppliers Evaluation in Micro and Small Organisations

    Directory of Open Access Journals (Sweden)

    Maria Madoranova

    2013-07-01

    Full Text Available The purpose of this paper is to present an approach for supplier evaluation based on Multi-Criteria Decision Matrix adopted for specific requirements of micro and small sized organizations. Quality management system and its supply chain management are based on maintaining long-term partnerships with suppliers with a focus on their reliability. The paper contains a case study of the presented approach application in a small sized organization and a description of the software tool for supporting the process of supplier evaluation in organisations. Presented case study validated used approach in real conditions of a small sized organisation. Based on experience from the application of the approach, possible extensions of the approach for more accurate supplier evaluation are presented in the paper. Offered approach is designed for micro and small sized organization and therefore as cost and time saving. Presented approach is not suitable for larger organization or critical industries as power engineering or aviation.

  12. WeightLifter: Visual Weight Space Exploration for Multi-Criteria Decision Making.

    Science.gov (United States)

    Pajer, Stephan; Streit, Marc; Torsney-Weir, Thomas; Spechtenhauser, Florian; Muller, Torsten; Piringer, Harald

    2017-01-01

    A common strategy in Multi-Criteria Decision Making (MCDM) is to rank alternative solutions by weighted summary scores. Weights, however, are often abstract to the decision maker and can only be set by vague intuition. While previous work supports a point-wise exploration of weight spaces, we argue that MCDM can benefit from a regional and global visual analysis of weight spaces. Our main contribution is WeightLifter, a novel interactive visualization technique for weight-based MCDM that facilitates the exploration of weight spaces with up to ten criteria. Our technique enables users to better understand the sensitivity of a decision to changes of weights, to efficiently localize weight regions where a given solution ranks high, and to filter out solutions which do not rank high enough for any plausible combination of weights. We provide a comprehensive requirement analysis for weight-based MCDM and describe an interactive workflow that meets these requirements. For evaluation, we describe a usage scenario of WeightLifter in automotive engineering and report qualitative feedback from users of a deployed version as well as preliminary feedback from decision makers in multiple domains. This feedback confirms that WeightLifter increases both the efficiency of weight-based MCDM and the awareness of uncertainty in the ultimate decisions.

  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. Choices, choices: the application of multi-criteria decision analysis to a food safety decision-making problem.

    Science.gov (United States)

    Fazil, A; Rajic, A; Sanchez, J; McEwen, S

    2008-11-01

    In the food safety arena, the decision-making process can be especially difficult. Decision makers are often faced with social and fiscal pressures when attempting to identify an appropriate balance among several choices. Concurrently, policy and decision makers in microbial food safety are under increasing pressure to demonstrate that their policies and decisions are made using transparent and accountable processes. In this article, we present a multi-criteria decision analysis approach that can be used to address the problem of trying to select a food safety intervention while balancing various criteria. Criteria that are important when selecting an intervention were determined, as a result of an expert consultation, to include effectiveness, cost, weight of evidence, and practicality associated with the interventions. The multi-criteria decision analysis approach we present is able to consider these criteria and arrive at a ranking of interventions. It can also provide a clear justification for the ranking as well as demonstrate to stakeholders, through a scenario analysis approach, how to potentially converge toward common ground. While this article focuses on the problem of selecting food safety interventions, the range of applications in the food safety arena is truly diverse and can be a significant tool in assisting decisions that need to be coherent, transparent, and justifiable. Most importantly, it is a significant contributor when there is a need to strike a fine balance between various potentially competing alternatives and/or stakeholder groups.

  15. A Multi-Criteria Decision Analysis based methodology for quantitatively scoring the reliability and relevance of ecotoxicological data.

    Science.gov (United States)

    Isigonis, Panagiotis; Ciffroy, Philippe; Zabeo, Alex; Semenzin, Elena; Critto, Andrea; Giove, Silvio; Marcomini, Antonio

    2015-12-15

    Ecotoxicological data are highly important for risk assessment processes and are used for deriving environmental quality criteria, which are enacted for assuring the good quality of waters, soils or sediments and achieving desirable environmental quality objectives. Therefore, it is of significant importance the evaluation of the reliability of available data for analysing their possible use in the aforementioned processes. The thorough analysis of currently available frameworks for the assessment of ecotoxicological data has led to the identification of significant flaws but at the same time various opportunities for improvement. In this context, a new methodology, based on Multi-Criteria Decision Analysis (MCDA) techniques, has been developed with the aim of analysing the reliability and relevance of ecotoxicological data (which are produced through laboratory biotests for individual effects), in a transparent quantitative way, through the use of expert knowledge, multiple criteria and fuzzy logic. The proposed methodology can be used for the production of weighted Species Sensitivity Weighted Distributions (SSWD), as a component of the ecological risk assessment of chemicals in aquatic systems. The MCDA aggregation methodology is described in detail and demonstrated through examples in the article and the hierarchically structured framework that is used for the evaluation and classification of ecotoxicological data is shortly discussed. The methodology is demonstrated for the aquatic compartment but it can be easily tailored to other environmental compartments (soil, air, sediments).

  16. Maintainability assessment for software by using a hybrid fuzzy multi-criteria analysis approach

    Directory of Open Access Journals (Sweden)

    Shivani Kundu

    2017-06-01

    Full Text Available Maintainability plays a fundamental role for achieving success in software system and it is con-sidered as an important quality characteristics. Maintainability may be predicted efficiently by us-ing soft computing techniques as they provide good results. In this paper similarity- based ap-proach is used with the contribution of fuzzy Analytical Hierarchical Process (AHP and fuzzy technique for order preference by similarity to ideal solution (TOPSIS at 2-level hierarchy. Here similarity- based approach illustrates the combine approach of fuzzy AHP and fuzzy TOPSIS. This approach is used to provide the rank of software to select the best one for maintainability estimation. Also, several factors are presented that influence the software maintainability. These factors are taken as criterion and three software products are taken as alternatives.

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

    Science.gov (United States)

    Hongoh, Valerie; Hoen, Anne Gatewood; Aenishaenslin, Cécile; Waaub, Jean-Philippe; Bélanger, Denise; Michel, Pascal

    2011-12-29

    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.

  18. 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

  19. 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.

  20. 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.

  1. Near-Earth object hazardous impact: A Multi-Criteria Decision Making approach

    Science.gov (United States)

    Sánchez-Lozano, J. M.; Fernández-Martínez, M.

    2016-11-01

    The impact of a near-Earth object (NEO) may release large amounts of energy and cause serious damage. Several NEO hazard studies conducted over the past few years provide forecasts, impact probabilities and assessment ratings, such as the Torino and Palermo scales. These high-risk NEO assessments involve several criteria, including impact energy, mass, and absolute magnitude. The main objective of this paper is to provide the first Multi-Criteria Decision Making (MCDM) approach to classify hazardous NEOs. Our approach applies a combination of two methods from a widely utilized decision making theory. Specifically, the Analytic Hierarchy Process (AHP) methodology is employed to determine the criteria weights, which influence the decision making, and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to obtain a ranking of alternatives (potentially hazardous NEOs). In addition, NEO datasets provided by the NASA Near-Earth Object Program are utilized. This approach allows the classification of NEOs by descending order of their TOPSIS ratio, a single quantity that contains all of the relevant information for each object.

  2. Using multi-criteria decision methods for selecting a language school

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    Mileine Henriques Elias Velasco

    2014-11-01

    Full Text Available Nowadays, the interest of organizations by professionals who have deep knowledge concerning more than one language has been increasing. In this scenario, the choice of a language school has been one of the most common decision problems, which has been often made on the basis of word-of-mouth, marketing activities of schools and trials without criteria. In order to contribute to this problem, this paper presents a study in which two multi-criteria decision aid methods (AHP and Weighted Average were used to select a language school. Thus, the degree of importance of criteria relating to the problem and the degree of satisfaction of undergraduate and postgraduate students in relation to language schools they study were taken into account. The best ranked language school was the same for both MCDA methods, although some schools have obtained different positions. It was found that the analysis with AHP is richer and more elaborate than with the Weighted Average method. However, the large number of pairwise comparisons which were required to the study demanded significant attention and cognitive effort from the decision maker, and more time to perform the analysis - aspects that may contribute to the preference for the Weighted Average method in similar studies.

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

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    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.

  4. Using Multi Criteria Decision Making in Analysis of Alternatives for Selection of Enabling Technology

    Science.gov (United States)

    Georgiadis, Daniel

    Prior to Milestone A, the Department of Defense (DoD) requires that service sponsors conduct an Analysis of Alternatives (AoA), an analytical comparison of multiple alternatives, to be completed prior to committing and investing costly resources to one project or decision. Despite this requirement, sponsors will circumvent or dilute the process in an effort to save money or schedule, and specific requirements are proposed that can effectively eliminate all but the preselected alternatives. This research focuses on identifying decision aiding methods which can lead to the selection of specific criteria that are key performance drivers thus enabling an informed selection of the enabling technology. This work defines the enabling technology as the sub-system which presents the most risk within the system design. After a thorough literature review of available Multi Criteria Decision Making methods, a case study example is presented demonstrating the selection of the enabling technology of a Light Detection and Ranging (LIDAR) system. Using subjective criteria in the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is shown to successfully account for tacit knowledge of expert practitioners.

  5. Applying multi-criteria decision-making to improve the waste reduction policy in Taiwan.

    Science.gov (United States)

    Su, Jun-Pin; Hung, Ming-Lung; Chao, Chia-Wei; Ma, Hwong-wen

    2010-01-01

    Over the past two decades, the waste reduction problem has been a major issue in environmental protection. Both recycling and waste reduction policies have become increasingly important. As the complexity of decision-making has increased, it has become evident that more factors must be considered in the development and implementation of policies aimed at resource recycling and waste reduction. There are many studies focused on waste management excluding waste reduction. This study paid more attention to waste reduction. Social, economic, and management aspects of waste treatment policies were considered in this study. Further, a life-cycle assessment model was applied as an evaluation system for the environmental aspect. Results of both quantitative and qualitative analyses on the social, economic, and management aspects were integrated via the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method into the comprehensive decision-making support system of multi-criteria decision-making (MCDM). A case study evaluating the waste reduction policy in Taoyuan County is presented to demonstrate the feasibility of this model. In the case study, reinforcement of MSW sorting was shown to be the best practice. The model in this study can be applied to other cities faced with the waste reduction problems.

  6. Multi Criteria Decision Making to evaluate control strategies of contagious animal diseases.

    Science.gov (United States)

    Mourits, M C M; van Asseldonk, M A P M; Huirne, R B M

    2010-09-01

    The decision on which strategy to use in the control of contagious animal diseases involves complex trade-offs between multiple objectives. This paper describes a Multi Criteria Decision Making (MCDM) application to illustrate its potential support to policy makers in choosing the control strategy that best meets all of the conflicting interests. The presented application focused on the evaluation of alternative strategies to control Classical Swine Fever (CSF) epidemics within the European Union (EU) according to the preferences of the European Chief Veterinary Officers (CVO). The performed analysis was centred on the three high-level objectives of epidemiology, economics and social ethics. The appraised control alternatives consisted of the EU compulsory control strategy, a pre-emptive slaughter strategy, a protective vaccination strategy and a suppressive vaccination strategy. Using averaged preference weights of the elicited CVOs, the preference ranking of the control alternatives was determined for six EU regions. The obtained results emphasized the need for EU region-specific control. Individual CVOs differed in their views on the relative importance of the various (sub)criteria by which the performance of the alternatives were judged. Nevertheless, the individual rankings of the control alternatives within a region appeared surprisingly similar. Based on the results of the described application it was concluded that the structuring feature of the MCDM technique provides a suitable tool in assisting the complex decision making process of controlling contagious animal diseases.

  7. A two-phased multi-criteria decision-making approach for selecting the best smartphone

    Directory of Open Access Journals (Sweden)

    Yildiz, Aytac

    2015-11-01

    Full Text Available In the last 20 years, rapid and significant developments have occurred in communication and information technologies. In parallel with these developments, the importance of smartphones has increased. In addition, many smartphone manufacturers have launched and continue to launch a number of new models with many features. People who want to buy a new smartphone have difficulties selecting the best smartphone among the numerous models available on the technology markets. Therefore, smartphone selection has become a complex multi-criteria decision-making (MCDM problem for people. Hence, decision-making processes will be facilitated by using MCDM methods, and these will provide the most appropriate decision. In this paper, the best smartphone among the 28 alternatives determined by the person who will buy them are selected by using three main criteria and 17 sub-criteria with the help of a two-phased MCDM approach. In the first phase, 28 smartphone alternatives are ranked using the analytic network process (ANP. In the second phase, a model that includes the best four alternatives of ANP is created. Afterwards, the best smartphone is selected using the generalised Choquet integral (GCI method according to this model. Finally, the findings and the results are given.

  8. A New DST-Belief Theoretic Project Selection Model for Multi-Criteria Decision Support System

    Science.gov (United States)

    Bakshi, Tuli; Sinharay, Arindam; Sarkar, Bijan; Sanyal, Subir Kumar

    2015-10-01

    Decision-making problem is co-related to quality and availability of the information. Innovative algorithms are proposed as a mathematical problem-solving technique to work in uncertainty-based decision science domain. Evidence-based theory of Dempster-Shafer (DST) is an effective mathematical tool to deal with uncertainty in the decision-making procedure. The current research exposition on new decision-making method based on DST of evidence, quantification evidence preference from different multiple criteria defined by belief function has been presented. They have developed a new framework that tackles the challenges and borne out of uncertainty both in criteria and in alternative levels. The proposed hybridized MCDM tool developed upon fuzzy domain uses plausibility and theory of belief function to construct decision on uncertain and imprecise information. The proposed method can be well fitted for real-life application. An illustrative example establishes the effectiveness of the aforesaid method.

  9. 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.

  10. A framework for landfill site selection using geographic information systems and multi criteria decision making technique

    Science.gov (United States)

    Mat, Nur Azriati; Benjamin, Aida Mauziah; Abdul-Rahman, Syariza; Wibowo, Antoni

    2016-10-01

    The solid waste disposal is one of the facilities which can cause harm to human health and also contribute to severe environmental pollution if it is not properly managed. Therefore, an effective decision on a landfill site selection in order to identify the most suitable area as a new landfill is very important. Since 25 years ago, the integration of geographic information systems (GIS) and multi criteria decision analysis (MCDA) has drawn significant interest among researchers. This integrated technique is commonly used for land use planning and selecting a new landfill site is one of the plan. This paper proposes a framework of landfill site selection with a consideration of resource requirement. This framework is developed by using the integration of GIS and MCDA to identify an appropriate location for landfill siting. A list of selection criteria obtained from the literature considered in selecting the best landfill site is also presented. The results of this study could later be used to help the waste management team in developing an efficient solid waste management system.

  11. Multi-Criteria Decision-Making Model for the Material Flow of Resonant Wood Production

    Directory of Open Access Journals (Sweden)

    Patrik Aláč

    2017-03-01

    Full Text Available This paper proposes a multi-criteria decision-making model, for the selection and evaluation of the most valuable wooden input—resonant wood. Application of a given model can improve the process of input valuation as well as impact and improve particular economic indicators for the resonant wood manufacturer. We have tried to describe and evaluate the supply chain of resonant wood manufacturing and production of musical instruments. Particular value-added and non-value-added activities have been chosen according to the logical sequence of technology. Then, concrete criteria were specified and their significance weightings. Another important part of our paper is the description of resonant wood, specifications, and demands on log and wood species. There are some important physical and mechanical properties which should be taken into account and evaluated during the production of musical instruments. By the application of this model, a particular enterprise can reach an enhanced tool for the continuous evaluation of the product flowing through the supply chain. Visibility of particular operations and their logical sequence, presented by Petri nets, can lead to easier detection of possible defects in these operations and their origin. So, the main purpose of the paper lies in the suggestion of an objective and quantified managerial tool for the decision making.

  12. Soil vulnerability to erosion assessed with remote sensing, digital elevation models and a fuzzy logic Multi-Criteria Evaluation

    Science.gov (United States)

    Melendez-Pastor, I.; Navarro-Pedreño, J.; Gómez, I.; Koch, M.

    2009-04-01

    combine remote sensing and topographic parameters. A Multi-Criteria Evaluation is performed by defining a membership function for each input variable, and combining them in a proper way (definition of weights). This simplified fuzzy logic model of soil vulnerability was tested in two study areas of SE Spain. The first area (Granadella) had a wet Mediterranean climate, very rough topography and the landscape is dominated by pine forests and shrubs. A severe forest fire affected the study area and the model was applied just after the forest fire and three years later. The second study area (Escalona) has a semiarid Mediterranean climate, a rough topography and the landscape is a mixture of permanent crops, shrubs and pine forest patches. In this case, the model was applied in the late spring and late summer for 2000 and 2003. Soil vulnerability estimations were related with RUSLE erosion maps. The simplified soil vulnerability model is highly and positively correlated with "traditional" erosion maps. It is sensitive to intra-annual and inter-annual vegetation changes, and thus the model reflects changes in soil vulnerability due to vegetation regeneration or degradation. The model performs well in the detection of soil vulnerability increments as estimated by the changes from actual to potential erosion. The model is a promising approach that, at this stage, reflects with great accuracy changes in soil vulnerability and that benefits from the definition of membership functions for input parameters in the fuzzy logic multi-criteria evaluation system. References Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8:338-353.

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

    Science.gov (United States)

    2015-10-28

    Considerable research has been conducted on the topic of decision aiding methods such as Multi -criteria and Multi - objective Decision Analysis to...the best compromise solution amongst multiple or infinite possibilities. This is generally known as Multi - Objective Decision Making (MODM). For the...from those of the program manager, resource sponsor, or even the user. This research focuses on the use of recursive sensitivity analysis to mitigate

  14. Usability Evaluation of Software Systems using Fuzzy Multi-Criteria Approach

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    Anubha Gulati

    2012-05-01

    Full Text Available Over the past few decades, Usability has emerged as an extremely important quality factor. Many methods have so far been proposed for usability evaluation but they lack in one way or another. This paper proposes a method for software usability quantification using the fuzzy multiple criteria weighted average approach. This approach has been chosen due to the highly unpredictable nature of the attributes on which usability depends. A case study is presented to prove the feasibility of the quantification technique.

  15. 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

  16. Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection

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    Daniel Osezua Aikhuele

    2017-09-01

    Full Text Available This paper presents a new approach for design concept selection by using an integrated Fuzzy Analytical Hierarchy Process (FAHP and an Interval-valued intuitionistic fuzzy modified TOP-SIS (IVIF-modified TOPSIS model. The integrated model which uses the improved score func-tion and a weighted normalized Euclidean distance method for the calculation of the separation measures of alternatives from the positive and negative intuitionistic ideal solutions provides a new approach for the computation of intuitionistic fuzzy ideal solutions. The results of the two approaches are integrated using a reflection defuzzification integration formula. To ensure the feasibility and the rationality of the integrated model, the method is successfully applied for eval-uating and selecting some design related problems including a real-life case study for the selec-tion of the best concept design for a new printed-circuit-board (PCB and for a hypothetical ex-ample. The model which provides a novel alternative, has been compared with similar computa-tional methods in the literature.

  17. Comparison of Three Ideal Point-Based Multi-Criteria Decision Methods for Afforestation Planning

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    René Estrella

    2014-12-01

    Full Text Available Three ideal point-based multi-criteria decision methods (MCDM, i.e., iterative ideal point thresholding (IIPT, compromise programming (CP and a newly-proposed CP variant, called balanced compromise programming (BCP, were applied to the Tabacay catchment in Ecuador with the aim of finding a distribution of land use types (LUT that optimizes regional land performance. This performance was expressed in terms of several conflicting on-site ecosystem services (ESS, namely water conservation, soil protection, carbon storage and monetary income. IIPT selects the best performing LUT on a per-land unit basis, that is the assignment of a LUT to a land unit is completely independent with respect to other land units. CP and BCP, on the other hand, aim at optimizing the integrated regional performance. These methods produce a LUT distribution that is as close as possible to the absolute optimal performance that would be achieved when conflict among ESS is not considered. In general, similar results were obtained with CP and BCP. This was not the case when the results produced by these two methods were contrasted with IIPT. For most ESS under consideration, CP and BCP produced balanced results that were closer to the absolute optimal values when compared to IIPT. We conclude from our results that, when optimization of land performance at a regional scale is at stake, CP-derived models emerge as the preferable option over IIPT, especially when balanced solutions are a requirement.

  18. Using soil function evaluation in multi-criteria decision analysis for sustainability appraisal of remediation alternatives.

    Science.gov (United States)

    Volchko, Yevheniya; Norrman, Jenny; Rosén, Lars; Bergknut, Magnus; Josefsson, Sarah; Söderqvist, Tore; Norberg, Tommy; Wiberg, Karin; Tysklind, Mats

    2014-07-01

    Soil contamination is one of the major threats constraining proper functioning of the soil and thus provision of ecosystem services. Remedial actions typically only address the chemical soil quality by reducing total contaminant concentrations to acceptable levels guided by land use. However, emerging regulatory requirements on soil protection demand a holistic view on soil assessment in remediation projects thus accounting for a variety of soil functions. Such a view would require not only that the contamination concentrations are assessed and attended to, but also that other aspects are taking into account, thus addressing also physical and biological as well as other chemical soil quality indicators (SQIs). This study outlines how soil function assessment can be a part of a holistic sustainability appraisal of remediation alternatives using multi-criteria decision analysis (MCDA). The paper presents a method for practitioners for evaluating the effects of remediation alternatives on selected ecological soil functions using a suggested minimum data set (MDS) containing physical, biological and chemical SQIs. The measured SQIs are transformed into sub-scores by the use of scoring curves, which allows interpretation and the integration of soil quality data into the MCDA framework. The method is demonstrated at a study site (Marieberg, Sweden) and the results give an example of how soil analyses using the suggested MDS can be used for soil function assessment and subsequent input to the MCDA framework.

  19. Multi-criteria decision making in the selection of machining parameters for Inconel 718

    Energy Technology Data Exchange (ETDEWEB)

    Thirumalai, R. [SNS College of Technology, Coimbatore (India); Senthilkumaar, J. S. [Bharathithasan Engineering College, Nattrampalli (India)

    2013-04-15

    Taguchi's methods and design of experiments are invariably used and adopted as quality improvement techniques in several manufacturing industries as tools for offline quality control. These methods optimize single-response processes. However, Taguchi's method is not appropriate for optimizing a multi-response problem. In other situations, multi-responses need to be optimized simultaneously. This paper presents multi-response optimization techniques. A set of non-dominated solutions are obtained using non-sorted genetic algorithm for multi-objective functions. Multi-criteria decision making (MCDM) is proposed in this work for selecting a single solution from nondominated solutions. This paper addresses a new method of MCDM concept based on technique for order preference by similarity to ideal solution (TOPSIS). TOPSIS determines the shortest distance to the positive-ideal solution and the greatest distance from the negative-ideal solution. This work involves the high-speed machining of Inconel 718 using carbide cutting tool with six objective functions that are considered as attributes against the process variables of cutting speed, feed, and depth of cut. The higher-ranked solution is selected as the best solution for the machining of Inconel 718 in its respective environment.

  20. Multi-criteria approach to support strategically sustainable decisions in organizations

    Directory of Open Access Journals (Sweden)

    Victor Diogho Heuer de Carvalho

    2015-09-01

    Full Text Available Keeping the social and environmental conditions in a favorable conservation status for allowing the society to develop itself without restrictions is the central idea which underpins the sustainability concept. Different spheres such as media, academia and business organizations started to give more importance to the study of sustainability, once it directly affects aspects that influence the economy in the world. Organizationally, the use of sustainable strategies can bring returns in favor of a healthy development and a conscious culture about the waste as well as reflecting how organizations connect with society and the environment. The objective of this work is to propose a model for prioritizing strategies to support the creation of an environment and a culture based on sustainability in organizations. This model has four steps, beginning with the problem structuring, including the definition of criteria and alternatives, the application of a multi-criteria method for prioritization, and finally, the implementation of the alternatives according to the decision maker opinion as well as on prioritization results.

  1. Broader economic evaluation of disease management programs using multi-criteria decision analysis.

    Science.gov (United States)

    Tsiachristas, Apostolos; Cramm, Jane Murray; Nieboer, Anna; Rutten-van Mölken, Maureen

    2013-07-01

    The aim of this paper is to develop a methodological framework to facilitate the application of Multi-Criteria Decision Analysis (MCDA) for a comprehensive economic evaluation of disease management programs (DMPs). We studied previously developed frameworks for the evaluation of DMPs and different methods of MCDA and we used practical field experience in the economic evaluation of DMPs and personal discussions with stakeholders in chronic care. The framework includes different objectives and criteria that are relevant for the evaluation of DMPs, indicators that can be used to measure how DMPs perform on these criteria, and distinguishes between the development and implementation phase of DMPs. The objectives of DMPs are categorised into a) changes in the process of care delivery, b) changes in patient lifestyle and self-management behaviour, c) changes in biomedical, physiological and clinical health outcomes, d) changes in health-related quality of life, and e) changes in final health outcomes. All relevant costs of DMPs are also included in the framework. Based on this framework we conducted a MCDA of a hypothetical DMP versus usual care. We call for a comprehensive economic evaluation of DMPs that is not just based on a single criterion but takes into account multiple relevant criteria simultaneously. The framework we presented here is a step towards standardising such an evaluation.

  2. Multi criteria decision making methods for location selection of distribution centers

    Directory of Open Access Journals (Sweden)

    Romita Chakraborty

    2013-10-01

    Full Text Available In recent years, major challenges such as, increase in inflexible consumer demands and to improve the competitive advantage, it has become necessary for various industrial organizations all over the world to focus on strategies that will help them achieve cost reduction, continual quality improvement, increased customer satisfaction and on time delivery performance. As a result, selection of the most suitable and optimal facility location for a new organization or expansion of an existing location is one of the most important strategic issues, required to fulfill all of these above mentioned objectives. In order to sustain in the global competitive market of 21st century, many industrial organizations have begun to concentrate on the proper selection of the plant site or best facility location. The best location is that which results in higher economic benefits through increased productivity and good distribution network. When a choice is to be made from among several alternative facility locations, it is necessary to compare their performance characteristics in a decisive way. As the facility location selection problem involves multiple conflicting criteria and a finite set of potential candidate alternatives, different multi-criteria decision-making (MCDM methods can be effectively applied to solve such type of problem. In this paper, four well known MCDM methods have been applied on a facility location selection problem and their relative ranking performances are compared. Because of disagreement in the ranks obtained by the four different MCDM methods a final ranking method based on REGIME has been proposed by the authors to facilitate the decision making process.

  3. 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

  4. Assessing Interventions to Manage West Nile Virus Using Multi-Criteria Decision Analysis with Risk Scenarios.

    Science.gov (United States)

    Hongoh, Valerie; Campagna, Céline; Panic, Mirna; Samuel, Onil; Gosselin, Pierre; Waaub, Jean-Philippe; Ravel, André; Samoura, Karim; Michel, Pascal

    2016-01-01

    The recent emergence of West Nile virus (WNV) in North America highlights vulnerability to climate sensitive diseases and stresses the importance of preventive efforts to reduce their public health impact. Effective prevention involves reducing environmental risk of exposure and increasing adoption of preventive behaviours, both of which depend on knowledge and acceptance of such measures. When making operational decisions about disease prevention and control, public health must take into account a wide range of operational, environmental, social and economic considerations in addition to intervention effectiveness. The current study aimed to identify, assess and rank possible risk reduction measures taking into account a broad set of criteria and perspectives applicable to the management of WNV in Quebec under increasing transmission risk scenarios, some of which may be related to ongoing warming in higher-latitude regions. A participatory approach was used to collect information on categories of concern to relevant stakeholders with respect to WNV prevention and control. Multi-criteria decision analysis was applied to examine stakeholder perspectives and their effect on strategy rankings under increasing transmission risk scenarios. Twenty-three preventive interventions were retained for evaluation using eighteen criteria identified by stakeholders. Combined evaluations revealed that, at an individual-level, inspecting window screen integrity, wearing light colored, long clothing, eliminating peridomestic larval sites and reducing outdoor activities at peak times were top interventions under six WNV transmission scenarios. At a regional-level, the use of larvicides was a preferred strategy in five out of six scenarios, while use of adulticides and dissemination of sterile male mosquitoes were found to be among the least favoured interventions in almost all scenarios. Our findings suggest that continued public health efforts aimed at reinforcing individual

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

    Directory of Open Access Journals (Sweden)

    Simone D Langhans

    Full Text Available 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

  6. 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

  7. OPTIMAL ALLOCATION OF LANDFILL DISPOSAL SITE: A FUZZY MULTI-CRITERIA APPROACH

    Directory of Open Access Journals (Sweden)

    Ajit P. Singh, A. K. Vidyarthi

    2008-01-01

    Full Text Available The arbitrary disposal through land-fill sites and also the unscientific management of solid wastes generated by domestic, commercial and industrial activities leading to serious problems of health, sanitation and environmental degradation in India demand an immediate proper solid waste disposal planning otherwise it may cause a serious problem, especially in small and medium-sized cities/towns if proper steps are not initiated now. The present paper aims to develop decision support systems to allocate the best landfill disposal site among the given alternative sites for Vidya Vihar, Pilani, Rajasthan, India. The technique is applied to determine the overall strategy for planning of solid waste disposal and management, while taking into account its environmental impact, as well as economical, technical and sustainable development issues. The model effectively reflects dynamic, interactive, and uncertain characteristics of the solid waste management system and provides decision-makers with a decision tool to make a better decision while choosing a municipal solid waste management strategy.

  8. 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

  9. 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

  10. 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...... environments (Janic, 2003; Salling et al., 2007; Tsamboulas and Mikroudis, 2006). The use of DSS for solving MCDA problems has among others been treated by Barfod (2012), Chen et al. (2008) and Larichev et al. (2002), where it is shown that a DSS can effectively support a decision making process making use...

  11. Decision support in Down’s syndrome screening using multi-criteria decision analysis: a pilot study

    Directory of Open Access Journals (Sweden)

    Anna Erenbourg

    2013-06-01

    Full Text Available Background: the aim of the study was to develop and pilot use of a decision support system (DSS to help women choose the option that best respects their personal values among the different screening/diagnostic tests for Down’s syndrome.Methods: value-bearing considerations were elicited through qualitative interviews. Ten women post-birth and ten health professionals working in the Obstetric Department at UC LH were interviewed. Performance data for the various possible screening strategies on these attributes were entered into a Multi-criteria Decision Analytic model using the Annalisa implementation. Participants piloted the DSS, entering necessary weights for the attributes and observing the resulting scores. Main outcome measures were DSS clarity, usefulness and feasibility in a clinical setting.Results: most participants found the DSS valuable because it stimulated women to seek information about testing and helped them focus on the main issues affecting their decisions. Annalisa proved a user-friendly DSS that helps women understand the issues around Down’s screening and diagnosis. There was unanimity that its use should be complementary to health professionals’ consultation. Most favoured offering it before consultation so that women could be better informed about options before attending the antenatal booking.Conclusions: the overall positive comments confirm that a user-friendly decision analysis-based support system can be a valuable instrument at supporting health decisions in this area. Further research is needed to assess whether the intention to make an informed choice is always best addressed by a decision support system, or these remain useful tools only to women more inclined to seek information anyhow.

  12. A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making.

    Science.gov (United States)

    Hyde, K M; Maier, H R; Colby, C B

    2005-12-01

    The choice among alternative water supply sources is generally based on the fundamental objective of maximising the ratio of benefits to costs. There is, however, a need to consider sustainability, the environment and social implications in regional water resources planning, in addition to economics. In order to achieve this, multi-criteria decision analysis (MCDA) techniques can be used. Various sources of uncertainty exist in the application of MCDA methods, including the selection of the MCDA method, elicitation of criteria weights and assignment of criteria performance values. The focus of this paper is on the uncertainty in the criteria weights. Sensitivity analysis can be used to analyse the effects of uncertainties associated with the criteria weights. Two existing sensitivity methods are described in this paper and a new distance-based approach is proposed which overcomes limitations of these methods. The benefits of the proposed approach are the concurrent alteration of the criteria weights, the applicability of the method to a range of MCDA techniques and the identification of the most critical criteria weights. The existing and proposed methods are applied to three case studies and the results indicate that simultaneous consideration of the uncertainty in the criteria weights should be an integral part of the decision making process.

  13. Identification and prioritization of effective factors in assessment and ranking of contractors using fuzzy multi-criteria techniques

    Directory of Open Access Journals (Sweden)

    Abolghasem Ebrahimi

    2016-01-01

    Full Text Available In the recent years, issues like high competitive pressure, globalization, business difficulties, resources limits, technological complications and activities specialization, fast changes in environment, etc. have caused organizations to reconsider their management methods. As a result, they are looking forward to branding new strategies in order to achieve competitive advantages. Focusing on main competences and outsourcing most of the activities are some of these strategies. Assessment management and selecting the appropriate contractor who holds adequate efficiency is of critical importance for having a project accomplished in time and with foreseen resources. Various qualitative and quantitative factors of different importance are involved in contractors’ assessment and should be taken into account before decision making. In this paper, once the factors are identified using fuzzy screening method, they are prioritized according to their importance by means of fuzzy hierarchical analysis.

  14. Multi-criteria decision analysis for health technology assessment in Canada: insights from an expert panel discussion.

    Science.gov (United States)

    Diaby, Vakaramoko; Goeree, Ron; Hoch, Jeffrey; Siebert, Uwe

    2015-02-01

    Multi-criteria decision analysis (MCDA), a decision-making tool, has received increasing attention in recent years, notably in the healthcare field. For Canada, it is unclear whether and how MCDA should be incorporated into the existing health technology assessment (HTA) decision-making process. To facilitate debate on improving HTA decision-making in Canada, a workshop was held in conjunction with the 8th World Congress on Health Economics of the International Health Economics Association in Toronto, Canada in July 2011. The objective of the workshop was to discuss the potential benefits and challenges related to the use of MCDA for HTA decision-making in Canada. This paper summarizes and discusses the recommendations of an expert panel convened at the workshop to discuss opportunities and concerns with reference to the implementation of MCDA in Canada.

  15. 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.

  16. A Multi-criteria Decision Analysis System for Prioritizing Sites and Types of Low Impact Development Practices

    Science.gov (United States)

    Song, Jae Yeol; Chung, Eun-Sung

    2017-04-01

    This study developed a multi-criteria decision analysis framework to prioritize sites and types of low impact development (LID) practices. This framework was systemized as a web-based system coupled with the Storm Water Management Model (SWMM) from the Environmental Protection Agency (EPA). Using the technique for order of preference by similarity to ideal solution (TOPSIS), which is a type of multi-criteria decision-making (MCDM) method, multiple types and sites of designated LID practices are prioritized. This system is named the Water Management Prioritization Module (WMPM) and is an improved version of the Water Management Analysis Module (WMAM) that automatically generates and simulates multiple scenarios of LID design and planning parameters for a single LID type. WMPM can simultaneously determine the priority of multiple LID types and sites. In this study, an infiltration trench and permeable pavement were considered for multiple sub-catchments in South Korea to demonstrate the WMPM procedures. The TOPSIS method was manually incorporated to select the vulnerable target sub-catchments and to prioritize the LID planning scenarios for multiple types and sites considering socio-economic, hydrologic and physical-geometric factors. In this application, the Delphi method and entropy theory were used to determine the subjective and objective weights, respectively. Comparing the ranks derived by this system, two sub-catchments, S16 and S4, out of 18 were considered to be the most suitable places for installing an infiltration trench and porous pavement to reduce the peak and total flow, respectively, considering both socio-economic factors and hydrological effectiveness. WMPM can help policy-makers to objectively develop urban water plans for sustainable development. Keywords: Low Impact Development, Multi-Criteria Decision Analysis, SWMM, TOPSIS, Water Management Prioritization Module (WMPM)

  17. Investigating the Effect of Normalization Norms in Flexible Manufacturing Sytem Selection Using Multi-Criteria Decision-Making Methods

    Directory of Open Access Journals (Sweden)

    Prasenjit Chatterjee

    2014-07-01

    Full Text Available The main objective of this paper is to assess the effect of different normalization norms within multi-criteria decisionmaking (MADM models. Three well accepted MCDM tools, namely, preference ranking organization method for enrichment evaluation (PROMETHEE, grey relation analysis (GRA and technique for order preference by similarity to ideal solution (TOPSIS methods are applied for solving a flexible manufacturing system (FMS selection problem in a discrete manufacturing environment. Finally, by the introduction of different normalization norms to the decision algorithms, its effct on the FMS selection problem using these MCDM models are also studied.

  18. A Hybrid Approach for Scheduling and Replication based on Multi-criteria Decision Method in Grid Computing

    Directory of Open Access Journals (Sweden)

    Nadia Hadi

    2012-09-01

    Full Text Available Grid computing environments have emerged following the demand of scientists to have a very high computing power and storage capacity. One among the challenges imposed in the use of these environments is the performance problem. To improve performance, scheduling and replicating techniques are used. In this paper we propose an approach to task scheduling combined with data replication decision based on multi criteria principle. This is to improve performance by reducing the response time of tasks and the load of system. This hybrid approach is based on a non-hierarchical model that allows scalability.

  19. A new spatial multi-criteria decision support tool for site selection for implementation of managed aquifer recharge.

    Science.gov (United States)

    Rahman, M Azizur; Rusteberg, Bernd; Gogu, R C; Lobo Ferreira, J P; Sauter, Martin

    2012-05-30

    This study reports the development of a new spatial multi-criteria decision analysis (SMCDA) software tool for selecting suitable sites for Managed Aquifer Recharge (MAR) systems. The new SMCDA software tool functions based on the combination of existing multi-criteria evaluation methods with modern decision analysis techniques. More specifically, non-compensatory screening, criteria standardization and weighting, and Analytical Hierarchy Process (AHP) have been combined with Weighted Linear Combination (WLC) and Ordered Weighted Averaging (OWA). This SMCDA tool may be implemented with a wide range of decision maker's preferences. The tool's user-friendly interface helps guide the decision maker through the sequential steps for site selection, those steps namely being constraint mapping, criteria hierarchy, criteria standardization and weighting, and criteria overlay. The tool offers some predetermined default criteria and standard methods to increase the trade-off between ease-of-use and efficiency. Integrated into ArcGIS, the tool has the advantage of using GIS tools for spatial analysis, and herein data may be processed and displayed. The tool is non-site specific, adaptive, and comprehensive, and may be applied to any type of site-selection problem. For demonstrating the robustness of the new tool, a case study was planned and executed at Algarve Region, Portugal. The efficiency of the SMCDA tool in the decision making process for selecting suitable sites for MAR was also demonstrated. Specific aspects of the tool such as built-in default criteria, explicit decision steps, and flexibility in choosing different options were key features, which benefited the study. The new SMCDA tool can be augmented by groundwater flow and transport modeling so as to achieve a more comprehensive approach to the selection process for the best locations of the MAR infiltration basins, as well as the locations of recovery wells and areas of groundwater protection. The new spatial

  20. D-Side: A Facility and Workforce Planning Group Multi-criteria Decision Support System for Johnson Space Center

    Science.gov (United States)

    Tavana, Madjid

    2005-01-01

    "To understand and protect our home planet, to explore the universe and search for life, and to inspire the next generation of explorers" is NASA's mission. The Systems Management Office at Johnson Space Center (JSC) is searching for methods to effectively manage the Center's resources to meet NASA's mission. D-Side is a group multi-criteria decision support system (GMDSS) developed to support facility decisions at JSC. D-Side uses a series of sequential and structured processes to plot facilities in a three-dimensional (3-D) graph on the basis of each facility alignment with NASA's mission and goals, the extent to which other facilities are dependent on the facility, and the dollar value of capital investments that have been postponed at the facility relative to the facility replacement value. A similarity factor rank orders facilities based on their Euclidean distance from Ideal and Nadir points. These similarity factors are then used to allocate capital improvement resources across facilities. We also present a parallel model that can be used to support decisions concerning allocation of human resources investments across workforce units. Finally, we present results from a pilot study where 12 experienced facility managers from NASA used D-Side and the organization's current approach to rank order and allocate funds for capital improvement across 20 facilities. Users evaluated D-Side favorably in terms of ease of use, the quality of the decision-making process, decision quality, and overall value-added. Their evaluations of D-Side were significantly more favorable than their evaluations of the current approach. Keywords: NASA, Multi-Criteria Decision Making, Decision Support System, AHP, Euclidean Distance, 3-D Modeling, Facility Planning, Workforce Planning.

  1. Prioritization of Bioethanol Production Pathways in China based on Life Cycle Sustainability Assessment and Multi-Criteria Decision-Making

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Manzardo, Alessandro; Mazzi, Anna

    2015-01-01

    ’s proposed method investigates an illustrative case about three alternative bioethanol production scenarios (wheat-based, corn-based and cassava-based): the prior sequence (based on the sustainability performances) in descending order is cassava-based, corn-based and wheat-based. The proposed methodology......Purpose The study objectives are two-fold: (i) combining the life cycle sustainability assessment (LCSA) framework and the multi-criteria decision-making (MCDM) methodology for sustainability assessment; (ii) determining the most sustainable scenario for bioethanol production in China according...... is to test the combination of a MCDM methodology and LCSA for sustainability decision-making by studying three alternative pathways for bioethanol production in China. The proposed method feasibly enables the decision-makers/stakeholders to find the most sustainable scenario to achieve their objectives among...

  2. The development of a multi-criteria decision analysis aid to help with contraceptive choices: My Contraception Tool.

    Science.gov (United States)

    French, Rebecca S; Cowan, Frances M; Wellings, Kaye; Dowie, Jack

    2014-04-01

    My Contraception Tool (MCT) applies the principles of multi-criteria decision analysis to the choice of contraceptive method. Its purpose is to make the decision-making process transparent to the user and to suggest a method to them based on their own preferences. The contraceptive option that emerges as optimal from the analysis takes account of the probability of a range of outcomes and the relative weight ascribed to them by the user. The development of MCT was a collaborative project between London School of Hygiene & Tropical Medicine, Brook, FPA and Maldaba Ltd. MCT is available online via the Brook and FPA websites. In this article we describe MCT's development and how it works. Further work is needed to assess the impact it has on decision quality and contraceptive behaviour.

  3. Addressing preference heterogeneity in public health policy by combining Cluster Analysis and Multi-Criteria Decision Analysis

    DEFF Research Database (Denmark)

    Kaltoft, Mette Kjer; Turner, Robin; Cunich, Michelle

    2015-01-01

    of the population in relation to the importance assigned to relevant criteria. It involves combining Cluster Analysis (CA), to generate the subgroup sets of preferences, with Multi-Criteria Decision Analysis (MCDA), to provide the policy framework into which the clustered preferences are entered. We employ three......The use of subgroups based on biological-clinical and socio-demographic variables to deal with population heterogeneity is well-established in public policy. The use of subgroups based on preferences is rare, except when religion based, and controversial. If it were decided to treat subgroup...... preferences as valid determinants of public policy, a transparent analytical procedure is needed. In this proof of method study we show how public preferences could be incorporated into policy decisions in a way that respects both the multi-criterial nature of those decisions, and the heterogeneity...

  4. Use of multi-criteria decision analysis in regulatory alternatives analysis: a case study of lead free solder.

    Science.gov (United States)

    Malloy, Timothy F; Sinsheimer, Peter J; Blake, Ann; Linkov, Igor

    2013-10-01

    Regulators are implementing new programs that require manufacturers of products containing certain chemicals of concern to identify, evaluate, and adopt viable, safer alternatives. Such programs raise the difficult question for policymakers and regulated businesses of which alternatives are "viable" and "safer." To address that question, these programs use "alternatives analysis," an emerging methodology that integrates issues of human health and environmental effects with technical feasibility and economic impact. Despite the central role that alternatives analysis plays in these programs, the methodology itself is neither well-developed nor tailored to application in regulatory settings. This study uses the case of Pb-based bar solder and its non-Pb-based alternatives to examine the application of 2 multi-criteria decision analysis (MCDA) methods to alternatives analysis: multi-attribute utility analysis and outranking. The article develops and evaluates an alternatives analysis methodology and supporting decision-analysis software for use in a regulatory context, using weighting of the relevant decision criteria generated from a stakeholder elicitation process. The analysis produced complete rankings of the alternatives, including identification of the relative contribution to the ranking of each of the highest level decision criteria such as human health impacts, technical feasibility, and economic feasibility. It also examined the effect of variation in data conventions, weighting, and decision frameworks on the outcome. The results indicate that MCDA can play a critical role in emerging prevention-based regulatory programs. Multi-criteria decision analysis methods offer a means for transparent, objective, and rigorous analysis of products and processes, providing regulators and stakeholders with a common baseline understanding of the relative performance of alternatives and the trade-offs they present.

  5. Multiple stakeholders in multi-criteria decision-making in the context of Municipal Solid Waste Management: A review

    Energy Technology Data Exchange (ETDEWEB)

    Soltani, Atousa; Hewage, Kasun; Reza, Bahareh; Sadiq, Rehan, E-mail: Rehan.sadiq@ubc.ca

    2015-01-15

    Highlights: • We review Municipal Solid Waste Management studies with focus on multiple stakeholders. • We focus on studies with multi-criteria decision analysis methods and discover their trends. • Most studies do not offer solutions for situations where stakeholders compete for more benefits or have unequal voting powers. • Governments and experts are the most participated stakeholders and AHP is the most dominant method. - Abstract: Municipal Solid Waste Management (MSWM) is a complicated process that involves multiple environmental and socio-economic criteria. Decision-makers look for decision support frameworks that can guide in defining alternatives, relevant criteria and their weights, and finding a suitable solution. In addition, decision-making in MSWM problems such as finding proper waste treatment locations or strategies often requires multiple stakeholders such as government, municipalities, industries, experts, and/or general public to get involved. Multi-criteria Decision Analysis (MCDA) is the most popular framework employed in previous studies on MSWM; MCDA methods help multiple stakeholders evaluate the often conflicting criteria, communicate their different preferences, and rank or prioritize MSWM strategies to finally agree on some elements of these strategies and make an applicable decision. This paper reviews and brings together research on the application of MCDA for solving MSWM problems with more focus on the studies that have considered multiple stakeholders and offers solutions for such problems. Results of this study show that AHP is the most common approach in consideration of multiple stakeholders and experts and governments/municipalities are the most common participants in these studies.

  6. Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare.

    Science.gov (United States)

    Dolan, James G

    2010-01-01

    Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers.Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine "hard data" with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings.The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP).

  7. Evaluation of healthcare waste treatment/disposal alternatives by using multi-criteria decision-making techniques.

    Science.gov (United States)

    Özkan, Aysun

    2013-02-01

    Healthcare waste should be managed carefully because of infected, pathological, etc. content especially in developing countries. Applied management systems must be the most appropriate solution from a technical, environmental, economic and social point of view. The main objective of this study was to analyse the current status of healthcare waste management in Turkey, and to investigate the most appropriate treatment/disposal option by using different decision-making techniques. For this purpose, five different healthcare waste treatment/disposal alternatives including incineration, microwaving, on-site sterilization, off-site sterilization and landfill were evaluated according to two multi-criteria decision-making techniques: analytic network process (ANP) and ELECTRE. In this context, benefits, costs and risks for the alternatives were taken into consideration. Furthermore, the prioritization and ranking of the alternatives were determined and compared for both methods. According to the comparisons, the off-site sterilization technique was found to be the most appropriate solution in both cases.

  8. Application of multi-criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia.

    Science.gov (United States)

    Vego, Goran; Kucar-Dragicević, Savka; Koprivanac, Natalija

    2008-11-01

    The efficiency of providing a waste management system in the coastal part of Croatia consisting of four Dalmatian counties has been modelled. Two multi-criteria decision-making (MCDM) methods, PROMETHEE and GAIA, were applied to assist with the systematic analysis and evaluation of the alternatives. The analysis covered two levels; first, the potential number of waste management centres resulting from possible inter-county cooperation; and second, the relative merits of siting of waste management centres in the coastal or hinterland zone was evaluated. The problem was analysed according to several criteria; and ecological, economic, social and functional criteria sets were identified as relevant to the decision-making process. The PROMETHEE and GAIA methods were shown to be efficient tools for analysing the problem considered. Such an approach provided new insights to waste management planning at the strategic level, and gave a reason for rethinking some of the existing strategic waste management documents in Croatia.

  9. 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.

  10. 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.

  11. Multi Criteria Decision Support Model for the Turkish Air Force Personnel Course/Education Planning System

    Science.gov (United States)

    2011-03-01

    Student 2007”. Munkres, James. “Algorithms for the Assignment and Transportation Problems”. Journal of the Society for Industrial and Applied ...Criteria Decision Analysis (MCDA) methods are applied to provide an analytical approach for compounding risk levels, values, and uncertainty and provide...alternative among the many alternatives. The acronyms, MADM (Multiple Attribute Decision Making), MODS (Multi Objective Decision Support), and MCDM

  12. Landfill Site Selection by AHP Based Multi-criteria Decision Making Tool: A Case Study in Kolkata, India

    Science.gov (United States)

    Majumdar, Ankush; Hazra, Tumpa; Dutta, Amit

    2017-07-01

    This work presents a Multi-criteria Decision Making (MCDM) tool to select a landfill site from three candidate sites proposed for Kolkata Municipal Corporation (KMC) area that complies with accessibility, receptor, environment, public acceptability, geological and economic criteria. Analytical Hierarchy Process has been used to solve the MCDM problem. Suitability of the three sites (viz. Natagachi, Gangajoara and Kharamba) as landfills as proposed by KMC has been checked by Landfill Site Sensitivity Index (LSSI) as well as Economic Viability Index (EVI). Land area availability for disposing huge quantity of Municipal Solid Waste for the design period has been checked. Analysis of the studied sites show that they are moderately suitable for landfill facility construction as both LSSI and EVI scores lay between 300 and 750. The proposed approach represents an effective MCDM tool for siting sanitary landfill in growing metropolitan cities of developing countries like India.

  13. Selecting the best responsive option to unexpected orders at the time of capacity-shortage using multi criteria decision models

    Directory of Open Access Journals (Sweden)

    Masoud parsaei

    2014-06-01

    Full Text Available The way orders are accepted or rejected is the most important factor in customer satisfaction and success of make-to-order systems. The incoming orders to such organizations have certain delivery date in which the customer expects the order to be fulfilled and delivered. In some cases, unexpectedly increased orders exceed the existing capacity for on time fulfillment. In addition to rejection of order, as a typical choice, other options like outsourcing and capacity expansion are available to compensate for capacity shortage and deliver incoming orders according to schedule. However, each of the proposed options is superior in one or more criteria and so selecting the best one is not simply possible. The main goal of this study is to provide managers with a comprehensive, systematic, and applicable approach to evaluate and select the best of the existing options. For this purpose, a model comprised of some multi-criteria techniques is delivered. Our proposed model is a blend of FAHP and FTOPSIS methods. In this model, FAHP is first used to determine the weight of criteria and then Fuzzy-TOPSIS (FTOPSIS is employed to rank the options. Finally, the proposed model is applied on an actual case to assess and examine its efficiency.

  14. a New Multimodal Multi-Criteria Route Planning Model by Integrating a Fuzzy-Ahp Weighting Method and a Simulated Annealing Algorithm

    Science.gov (United States)

    Ghaderi, F.; Pahlavani, P.

    2015-12-01

    A multimodal multi-criteria route planning (MMRP) system provides an optimal multimodal route from an origin point to a destination point considering two or more criteria in a way this route can be a combination of public and private transportation modes. In this paper, the simulate annealing (SA) and the fuzzy analytical hierarchy process (fuzzy AHP) were combined in order to find this route. In this regard, firstly, the effective criteria that are significant for users in their trip were determined. Then the weight of each criterion was calculated using the fuzzy AHP weighting method. The most important characteristic of this weighting method is the use of fuzzy numbers that aids the users to consider their uncertainty in pairwise comparison of criteria. After determining the criteria weights, the proposed SA algorithm were used for determining an optimal route from an origin to a destination. One of the most important problems in a meta-heuristic algorithm is trapping in local minima. In this study, five transportation modes, including subway, bus rapid transit (BRT), taxi, walking, and bus were considered for moving between nodes. Also, the fare, the time, the user's bother, and the length of the path were considered as effective criteria for solving the problem. The proposed model was implemented in an area in centre of Tehran in a GUI MATLAB programming language. The results showed a high efficiency and speed of the proposed algorithm that support our analyses.

  15. Multiple stakeholders in multi-criteria decision-making in the context of Municipal Solid Waste Management: A review.

    Science.gov (United States)

    Soltani, Atousa; Hewage, Kasun; Reza, Bahareh; Sadiq, Rehan

    2015-01-01

    Municipal Solid Waste Management (MSWM) is a complicated process that involves multiple environmental and socio-economic criteria. Decision-makers look for decision support frameworks that can guide in defining alternatives, relevant criteria and their weights, and finding a suitable solution. In addition, decision-making in MSWM problems such as finding proper waste treatment locations or strategies often requires multiple stakeholders such as government, municipalities, industries, experts, and/or general public to get involved. Multi-criteria Decision Analysis (MCDA) is the most popular framework employed in previous studies on MSWM; MCDA methods help multiple stakeholders evaluate the often conflicting criteria, communicate their different preferences, and rank or prioritize MSWM strategies to finally agree on some elements of these strategies and make an applicable decision. This paper reviews and brings together research on the application of MCDA for solving MSWM problems with more focus on the studies that have considered multiple stakeholders and offers solutions for such problems. Results of this study show that AHP is the most common approach in consideration of multiple stakeholders and experts and governments/municipalities are the most common participants in these studies.

  16. Multi-criteria decision-making for flood risk management: a survey of the current state of the art

    Science.gov (United States)

    Madruga de Brito, Mariana; Evers, Mariele

    2016-04-01

    This paper provides a review of multi-criteria decision-making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures.

  17. Using multi-criteria decision making for selection of the optimal strategy for municipal solid waste management.

    Science.gov (United States)

    Jovanovic, Sasa; Savic, Slobodan; Jovicic, Nebojsa; Boskovic, Goran; Djordjevic, Zorica

    2016-09-01

    Multi-criteria decision making (MCDM) is a relatively new tool for decision makers who deal with numerous and often contradictory factors during their decision making process. This paper presents a procedure to choose the optimal municipal solid waste (MSW) management system for the area of the city of Kragujevac (Republic of Serbia) based on the MCDM method. Two methods of multiple attribute decision making, i.e. SAW (simple additive weighting method) and TOPSIS (technique for order preference by similarity to ideal solution), respectively, were used to compare the proposed waste management strategies (WMS). Each of the created strategies was simulated using the software package IWM2. Total values for eight chosen parameters were calculated for all the strategies. Contribution of each of the six waste treatment options was valorized. The SAW analysis was used to obtain the sum characteristics for all the waste management treatment strategies and they were ranked accordingly. The TOPSIS method was used to calculate the relative closeness factors to the ideal solution for all the alternatives. Then, the proposed strategies were ranked in form of tables and diagrams obtained based on both MCDM methods. As shown in this paper, the results were in good agreement, which additionally confirmed and facilitated the choice of the optimal MSW management strategy.

  18. Personel Seçiminde Çok Kriterli Karar Verme: Bulanık Topsis Uygulaması - Multi-Criteria Approach to Personnel Selection: Fuzzy Topsis Applications

    Directory of Open Access Journals (Sweden)

    Nalan Gülten AKIN

    2016-06-01

    Full Text Available Which are very important in terms of human resource management, personnel selection, it expressed as a process of determining the appropriate personnel hired to perform the work. Personnel selection, often occurs as a result of decisions made by a group decision based on the evaluation of candidates by various criteria and subjective judgment transmitter. Whereas the organization that they can gain competitive advantage and this advantage can continue, according to the right personnel for the right job it depends on the objective criteria chosen. Personnel selection problems, decision-making and be more than the number of candidates and the terms of a number of criteria involved in the decision to take effect on multi-criteria decision problems. Decisions based on personal jurisdiction includes the uncertainty. Therefore, one of the multiple-criteria decision analysis techniques in this study preferred method of fuzzy TOPSIS. In the process of recruiting a research assistant in a public university under study, which will be invited to the scientific examination of the candidates who apply, with proximity to the ranking made by calculating the coefficients for each candidate is determined based on objective criteria

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

    Science.gov (United States)

    2013-02-01

    Evaluation Technique Measuring Attractiveness by a Categorical Based Evaluation Technique ( MACBETH ) is a MCDA technique that uses qualitative judgments...to the creation of the MACBETH method. The key motivation was to enable construction of a value scale without forcing the decision maker to try to...to judgments or constraints that will resolve the inconsistencies. With the inconsistencies resolved, MACBETH then presents to the decision maker

  20. 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

  1. Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall-runoff model calibration

    Science.gov (United States)

    Shafii, Mahyar; Tolson, Bryan; Shawn Matott, L.

    2015-04-01

    GLUE is one of the most commonly used informal methodologies for uncertainty estimation in hydrological modelling. Despite the ease-of-use of GLUE, it involves a number of subjective decisions such as the strategy for identifying the behavioural solutions. This study evaluates the impact of behavioural solution identification strategies in GLUE on the quality of model output uncertainty. Moreover, two new strategies are developed to objectively identify behavioural solutions. The first strategy considers Pareto-based ranking of parameter sets, while the second one is based on ranking the parameter sets based on an aggregated criterion. The proposed strategies, as well as the traditional strategies in the literature, are evaluated with respect to reliability (coverage of observations by the envelope of model outcomes) and sharpness (width of the envelope of model outcomes) in different numerical experiments. These experiments include multi-criteria calibration and uncertainty estimation of three rainfall-runoff models with different number of parameters. To demonstrate the importance of behavioural solution identification strategy more appropriately, GLUE is also compared with two other informal multi-criteria calibration and uncertainty estimation methods (Pareto optimization and DDS-AU). The results show that the model output uncertainty varies with the behavioural solution identification strategy, and furthermore, a robust GLUE implementation would require considering multiple behavioural solution identification strategies and choosing the one that generates the desired balance between sharpness and reliability. The proposed objective strategies prove to be the best options in most of the case studies investigated in this research. Implementing such an approach for a high-dimensional calibration problem enables GLUE to generate robust results in comparison with Pareto optimization and DDS-AU.

  2. How to use multi-criteria decision analysis methods for reimbursement decision-making in healthcare: a step-by-step guide.

    Science.gov (United States)

    Diaby, Vakaramoko; Goeree, Ron

    2014-02-01

    In recent years, the quest for more comprehensiveness, structure and transparency in reimbursement decision-making in healthcare has prompted the research into alternative decision-making frameworks. In this environment, multi-criteria decision analysis (MCDA) is arising as a valuable tool to support healthcare decision-making. In this paper, we present the main MCDA decision support methods (elementary methods, value-based measurement models, goal programming models and outranking models) using a case study approach. For each family of methods, an example of how an MCDA model would operate in a real decision-making context is presented from a critical perspective, highlighting the parameters setting, the selection of the appropriate evaluation model as well as the role of sensitivity and robustness analyses. This study aims to provide a step-by-step guide on how to use MCDA methods for reimbursement decision-making in healthcare.

  3. An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance

    Directory of Open Access Journals (Sweden)

    Mei-Sung Kang

    2011-11-01

    Full Text Available The demands for alternative energy resources have been increasing exponentially in the 21st century due to continuous industrial development, depletion of fossil fuels and emerging environmental consciousness. Renewable energy sources, including wind energy, hydropower energy, geothermal energy, solar energy, biomass energy and ocean power, have received increasing attention as alternative means of meeting global energy demands. After Japan's Fukushima nuclear plant disaster in March 2011, more and more countries are having doubt about the safety of nuclear plants. As a result, safe and renewable energy sources are attracting even more attention these days. Wind energy production, with its relatively safer and positive environmental characteristics, has evolved in the past few decades from a marginal activity into a multi-billion dollar industry. In this research, a comprehensive evaluation model is constructed to select a suitable location for developing a wind farm. The model incorporates interpretive structural modeling (ISM, benefits, opportunities, costs and risks (BOCR and fuzzy analytic network process (FANP. Experts in the field are invited to contribute their expertise in evaluating the importance of the factors and various aspects of the wind farm evaluation problem, and the most suitable wind farm can finally be generated from the model. A case study is carried out in Taiwan in evaluating the expected performance of several potential wind farms, and a recommendation is provided for selecting the most appropriate wind farm for construction.

  4. Including long-term biological index performance in a multi-criteria Decision Support System

    Science.gov (United States)

    Waddle, T.; Bowen, Z.; Bovee, K.D.

    1999-01-01

    A Decision Support System (DSS) was developed for the reservoirs operated by the U.S. Bureau of Reclamation that incorporates biological resources in a palette of decision variables. A scoring technique was developed for the DSS to help to evaluate the long-term effects of proposed reservoir system operations on those variables. The biological component of the DSS was developed to help Bureau of Reclamation reservoir operators evaluate the effects of different scenarios of reservoir operations on a variety of water-related biological resources. In this DSS, Reclamation's Reservoir Operations Modeling System (ROMS) is linked to modules evaluating power production, flood control benefits, irrigation water deliveries, municipal and industrial water supplies, habitat for endemic fish communities, tailwater fisheries, nesting habitat for shorebirds, reservoir recreation, reservoir fisheries, and regeneration of riparian cottonwood forests. Operation scenarios generated in ROMS are scored for each decision variable by comparison to a target range of a decision variable for a reference location and time period. The score for a variable is calculated based on the ratio between the percent of time that target conditions are met under alternative operating conditions and under the reference condition, respectively. A scoring technique was developed that recognizes that under either natural or highly managed conditions the reference target is not met at all times. Higher scores are achieved for environmental decision variables by operations scenarios that approach natural seasonal and annual variability in habitat availability.

  5. 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.

  6. 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.

  7. The benefits of global scaling in multi-criteria decision analysis

    Directory of Open Access Journals (Sweden)

    Jamie P. Monat

    2009-10-01

    Full Text Available When there are multiple competing objectives in a decision-making process, Multi-Attribute Choice scoring models are excellent tools, permitting the incorporation of both subjective and objective attributes. However, their accuracy depends upon the subjective techniques used to construct the attribute scales and their concomitant weights. Conventional techniques using local scales tend to overemphasize small differences in attribute measures, which may yield erroneous conclusions. The Range Sensitivity Principle (RSP is often invoked to adjust attribute weights when local scales are used. In practice, however, decision makers often do not follow the prescriptions of the Range Sensitivity Principle and under-adjust the weights, resulting in potentially poor decisions. Examples are discussed as is a proposed solution: the use of global scales instead of local scales.

  8. Coping with Complex Environmental and Societal Flood Risk Management Decisions: An Integrated Multi-criteria Framework

    Directory of Open Access Journals (Sweden)

    Love Ekenberg

    2011-08-01

    Full Text Available During recent years, a great deal of attention has been focused on the financial risk management of natural disasters. One reason behind is that the economic losses from floods, windstorms, earthquakes and other disasters in both the developing and developed countries are escalating dramatically. It has become apparent that an integrated water resource management approach would be beneficial in order to take both the best interests of society and of the environment into consideration. One improvement consists of models capable of handling multiple criteria (conflicting objectives as well as multiple stakeholders (conflicting interests. A systems approach is applied for coping with complex environmental and societal risk management decisions with respect to flood catastrophe policy formation, wherein the emphasis is on computer-based modeling and simulation techniques combined with methods for evaluating strategies where numerous stakeholders are incorporated in the process. The resulting framework consists of a simulation model, a decision analytical tool, and a set of suggested policy strategies for policy formulation. The framework will aid decision makers with high risk complex environmental decisions subject to significant uncertainties.

  9. The Domains for the Multi-Criteria Decisions about E-Learning Systems

    Science.gov (United States)

    Uysal, Murat Pasa

    2012-01-01

    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…

  10. A multi-criteria decision-making model for evaluating priorities for foreign direct investment

    Directory of Open Access Journals (Sweden)

    Korhan K. Gokmenoglu

    2015-10-01

    Full Text Available The objective of this study is to evaluate the relative priority of nine developed countries as a home country for foreign direct investment (FDI from the vantage point of the United States during three time periods: pre-crisis (2004-2006, crisis (2007-2009, and post-crisis (2010-2012. Our study suggests a methodology based on a combination of the analytic hierarchy process (AHP, the technique for order preference by similarity to ideal solution (TOPSIS, and the multi-period multi-attribute decision-making (MP-MADM technique. To investigate our research question, we selected fifteen robust FDI determinants from recent studies. The results for all three time periods show that productivity, market potential, market size, GDP growth and development have the highest priority in the decision-making process. On the other hand, we found that the 2007 global financial crisis significantly affected each variable in the decision-making process. During the crisis, two variables in particular - corruption and GDP growth - significantly increased in importance. These findings have far-reaching policy implications and can assist policymakers and investors in their strategic decision-making process.

  11. Use of stochastic multi-criteria decision analysis to support sustainable management of contaminated sediments.

    Science.gov (United States)

    Sparrevik, Magnus; Barton, David N; Bates, Mathew E; Linkov, Igor

    2012-02-01

    Sustainable management of contaminated sediments requires careful prioritization of available resources and focuses on efforts to optimize decisions that consider environmental, economic, and societal aspects simultaneously. This may be achieved by combining different analytical approaches such as risk analysis (RA), life cycle analysis (LCA), multicriteria decision analysis (MCDA), and economic valuation methods. We propose the use of stochastic MCDA based on outranking algorithms to implement integrative sustainability strategies for sediment management. In this paper we use the method to select the best sediment management alternatives for the dibenzo-p-dioxin and -furan (PCDD/F) contaminated Grenland fjord in Norway. In the analysis, the benefits of health risk reductions and socio-economic benefits from removing seafood health advisories are evaluated against the detriments of remedial costs and life cycle environmental impacts. A value-plural based weighing of criteria is compared to criteria weights mimicking traditional cost-effectiveness (CEA) and cost-benefit (CBA) analyses. Capping highly contaminated areas in the inner or outer fjord is identified as the most preferable remediation alternative under all criteria schemes and the results are confirmed by a probabilistic sensitivity analysis. The proposed methodology can serve as a flexible framework for future decision support and can be a step toward more sustainable decision making for contaminated sediment management. It may be applicable to the broader field of ecosystem restoration for trade-off analysis between ecosystem services and restoration costs.

  12. 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,

  13. Multi-criteria decision-making approach with incomplete certain information based on ternary AHP

    Institute of Scientific and Technical Information of China (English)

    Wang Jianqiang

    2006-01-01

    It is not uncommon in multiple criteria decision-making that the numerical values of alternatives of some criteria are subject to imprecision, uncertainty and indetermination and the information on weights of criteria is incomplete certain. A new multiple criteria decision- making method with incomplete certain information based on ternary AHP is proposed. This improves on Takeda's method. In this method, the ternary comparison matrix of the alternatives under each pseudo-criteria is constructed, the eigenvector associated with the maximum eigenvalue of the ternary comparison matrix is attained as to normalize priority vector of the alternatives, then the order of alternatives is obtained by solving two kinds of linear programming problems. Finally, an example is given to show the feasibility and effectiveness of the method.

  14. Selection of Optimal Supplier in Supply Chain Using A MultiCriteria Decision Making Method

    Directory of Open Access Journals (Sweden)

    H. Assellaou

    2015-07-01

    Full Text Available The supplier selection problem is one of the strategic decisions that have a significant impact on the performance of the supply chain. In this study, supplier selection problem of an automotive company is investigated and a comprehensive methodology is used to select the best supplier providing the most customer satisfaction for the criteria determined. The proposed methodology consists of Analytic Network Process (ANP, the criteria which are relevant in the supplier selection, have been used to construct an ANP model

  15. Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection.

    Science.gov (United States)

    Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik

    2016-01-01

    Actually, a set of ETL software (Extract, Transform and Load) is available to constitute a major investment market. Each ETL uses its own techniques for extracting, transforming and loading data into data warehouse, which makes the task of evaluating ETL software very difficult. However, choosing the right software of ETL is critical to the success or failure of any Business Intelligence project. As there are many impacting factors in the selection of ETL software, the same process is considered as a complex multi-criteria decision making (MCDM) problem. In this study, an application of decision-making methodology that employs the two well-known MCDM techniques, namely Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods is designed. In this respect, the aim of using AHP is to analyze the structure of the ETL software selection problem and obtain weights of the selected criteria. Then, TOPSIS technique is used to calculate the alternatives' ratings. An example is given to illustrate the proposed methodology. Finally, a software prototype for demonstrating both methods is implemented.

  16. Multi-Criteria Decision Analysis integrated with GIS and remote sensing for astronomical observatory site selection in Antalya province, Turkey

    Science.gov (United States)

    Koc-San, D.; San, B. T.; Bakis, V.; Helvaci, M.; Eker, Z.

    2013-07-01

    Astronomical observatory site selection is a complex problem that involves evaluation of multiple factors from different sources. The aim of this study is to select the best possible candidates for astronomical observations sites using Multi-Criteria Decision Analysis integrated with Geographical Information Systems and remote sensing technologies. The study was implemented in the Antalya province of Turkey, which is convenient for astronomical site observatory facilities with its appropriate climate properties and weather conditions. Eleven factors (cloud cover, precipitable water, earthquake zones, geology, landslide inventory, active fault lines, Digital Elevation Model, city lights, mining activities, settlement areas, roads) were determined, splitting into three categories; meteorological, geographical and anthropogenic criteria. These factors were evaluated using Analytical Hierarchy Process method and the weights of criteria layers were determined. As a result, the most suitable areas were located extensively in western and eastern part of Antalya. This study offers a robust, accurate, cost and time effective procedure for preliminary site selection for astronomical observatory. However, for a final decision of the best location of astronomical observatory, site testing measurements and atmospheric seeing observations will be further required in these preliminary areas.

  17. Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem

    Science.gov (United States)

    Wood, Nathan; Jones, Jeanne; Schelling, John; Schmidtlein, Mathew

    2014-01-01

    Tsunami vertical-evacuation (TVE) refuges can be effective risk-reduction options for coastal communities with local tsunami threats but no accessible high ground for evacuations. Deciding where to locate TVE refuges is a complex risk-management question, given the potential for conflicting stakeholder priorities and multiple, suitable sites. We use the coastal community of Ocean Shores (Washington, USA) and the local tsunami threat posed by Cascadia subduction zone earthquakes as a case study to explore the use of geospatial, multi-criteria decision analysis for framing the locational problem of TVE siting. We demonstrate a mixed-methods approach that uses potential TVE sites identified at community workshops, geospatial analysis to model changes in pedestrian evacuation times for TVE options, and statistical analysis to develop metrics for comparing population tradeoffs and to examine influences in decision making. Results demonstrate that no one TVE site can save all at-risk individuals in the community and each site provides varying benefits to residents, employees, customers at local stores, tourists at public venues, children at schools, and other vulnerable populations. The benefit of some proposed sites varies depending on whether or not nearby bridges will be functioning after the preceding earthquake. Relative rankings of the TVE sites are fairly stable under various criteria-weighting scenarios but do vary considerably when comparing strategies to exclusively protect tourists or residents. The proposed geospatial framework can serve as an analytical foundation for future TVE siting discussions.

  18. 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.

  19. A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection

    Directory of Open Access Journals (Sweden)

    Vijay Manikrao Athawale

    2011-10-01

    Full Text Available Industrial robots are mainly employed to perform repetitive and hazardous production jobs, multi-shift operations etc. to reduce the delivery time, improve the work environment, lower the production cost and even increase the product range to fulfill the customers’ needs. When a choice is to be made from among several alternative robots for a given industrial application, it is necessary to compare their performance characteristics in a decisive way. As the industrial robot selection problem involves multiple conflicting criteria and a finite set of candidate alternatives, different multi-criteria decision-making (MCDM methods can be effectively used to solve such type of problem. In this paper, ten most popular MCDM methods are considered and their relative performance are compared with respect to the rankings of the alternative robots as engaged in some industrial pick-n-place operation. It is observed that all these methods give almost the same rankings of the alternative robots, although the performance of WPM, TOPSIS and GRA methods are slightly better than the others. It can be concluded that for a given industrial robot selection problem, more attention is to be paid on the proper selection of the relevant criteria and alternatives, not on choosing the most appropriate MCDM method to be employed.

  20. Nationally Appropriate Mitigation Action: developing a Multi Criteria Decision Analysis (MCDA ) process for prioritization of NAMAs

    DEFF Research Database (Denmark)

    Sharma, Sudhir; Desgain, Denis DR; Sandbukt, Sunniva

    tool to prioritize NAMAs in the context of national sustainable development, taking into account climate and development priorities. The objective of the publication is to enhance the knowledge of national stakeholders, in particular policy makers and decision makers, to understand the process...... number of options. This tool allows combining some criteria which are valued in monetary terms and others for which market values are not readily available in the economy.It allows the use of a full range of social, environmental, technical, economic, and financial criteria. MCDA is thus an appropriate...

  1. Decision making with fuzzy probability assessments and fuzzy payoff

    Institute of Scientific and Technical Information of China (English)

    Song Yexin; Yin Di; Chen Mianyun

    2005-01-01

    A novel method for decision making with fuzzy probability assessments and fuzzy payoff is presented. The consistency of the fuzzy probability assessment is considered. A fuzzy aggregate algorithm is used to indicate the fuzzy expected payoff of alternatives. The level sets of each fuzzy expected payoff are then obtained by solving linear programming models. Based on a defuzzification function associated with the level sets of fuzzy number and a numerical integration formula (Newton-Cotes formula), an effective approach to rank the fuzzy expected payoff of alternatives is also developed to determine the best alternative. Finally, a numerical example is provided to illustrate the proposed method.

  2. Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

    NARCIS (Netherlands)

    Venhorst, K.; Zelle, S.G.; Tromp, N.; Lauer, J.A.

    2014-01-01

    BACKGROUND: The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key

  3. The prioritisation of invasive alien plant control projects using a multi-criteria decision model informed by stakeholder input and spatial data

    CSIR Research Space (South Africa)

    Forsyth, GG

    2012-07-01

    Full Text Available and transparent priorities for clearing in the face of multiple and sometimes conflicting demands. This study used the analytic hierarchy process (a multi-criteria decision support technique) to develop and rank criteria for prioritising alien plant control...

  4. Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

    NARCIS (Netherlands)

    Venhorst, K.; Zelle, S.G.; Tromp, N.; Lauer, J.A.

    2014-01-01

    BACKGROUND: The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key

  5. 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.

  6. 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.

  7. 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

  8. An integrated multi-criteria decision-making methodology for conveyor system selection

    Directory of Open Access Journals (Sweden)

    Pairat Jiamruangjarus

    2016-12-01

    Full Text Available Material handling equipment (MHE is important for every industry because it has an effect on the productivity of manufacturing. Conveyor systems are presently one popular type of MHE. This paper presents an integration of the analytic network process (ANP with the benefits, opportunities, costs and risk (BOCR model in order to select the best conveyor system. The proposed model established a network with four merits, six strategies criteria, and twenty six sub-criteria with four alternatives (present, roller conveyor, chain conveyor, and monorail. The ANP is to determine the relative weights of an evaluative criteria and decision alternatives. Therefore, the final ranking of the alternatives are calculated by synthesizing the score of each alternative under BOCR. The results showed that the best alternative under all five methods is the chain conveyor. These research results can be easily applied, adapted and used to improve performance of selecting the conveyer system in small and medium enterprises through large industries.

  9. Multi-Criteria Decision Support Queries in Exploratory & Open World Settings

    DEFF Research Database (Denmark)

    Mortensen, Michael Lind

    2016-01-01

    Throughout the past decade, data sources have increased significantly in both their size, availability, richness, complexity and dynamics. This data surplus is not only enabling new businesses, scientific achievements and economic growth; it can also enable normal people to make better real-world...... of usability and trust issues, they have yet to enjoy wide adoption in either practical scientific or industrial applications. Simply put, the theoretical gain and intent of these tools do not match the reality of how users make decisions. In this thesis, we take a step forward in bridging the gap between...... queries into an open-world paradigm, where both unknown data and latent attributes are expected to exist. Specifically, we investigate the impact of open-world data on the conventional skyline paradigm and suggest a new probabilistic open-world paradigm for future research. We also study general open-world...

  10. Addressing preference heterogeneity in public health policy by combining Cluster Analysis and Multi-Criteria Decision Analysis: Proof of Method.

    Science.gov (United States)

    Kaltoft, Mette Kjer; Turner, Robin; Cunich, Michelle; Salkeld, Glenn; Nielsen, Jesper Bo; Dowie, Jack

    2015-01-01

    The use of subgroups based on biological-clinical and socio-demographic variables to deal with population heterogeneity is well-established in public policy. The use of subgroups based on preferences is rare, except when religion based, and controversial. If it were decided to treat subgroup preferences as valid determinants of public policy, a transparent analytical procedure is needed. In this proof of method study we show how public preferences could be incorporated into policy decisions in a way that respects both the multi-criterial nature of those decisions, and the heterogeneity of the population in relation to the importance assigned to relevant criteria. It involves combining Cluster Analysis (CA), to generate the subgroup sets of preferences, with Multi-Criteria Decision Analysis (MCDA), to provide the policy framework into which the clustered preferences are entered. We employ three techniques of CA to demonstrate that not only do different techniques produce different clusters, but that choosing among techniques (as well as developing the MCDA structure) is an important task to be undertaken in implementing the approach outlined in any specific policy context. Data for the illustrative, not substantive, application are from a Randomized Controlled Trial of online decision aids for Australian men aged 40-69 years considering Prostate-specific Antigen testing for prostate cancer. We show that such analyses can provide policy-makers with insights into the criterion-specific needs of different subgroups. Implementing CA and MCDA in combination to assist in the development of policies on important health and community issues such as drug coverage, reimbursement, and screening programs, poses major challenges -conceptual, methodological, ethical-political, and practical - but most are exposed by the techniques, not created by them.

  11. Sustainability-Oriented Financial Resource Allocation in a Project Portfolio through Multi-Criteria Decision-Making

    Directory of Open Access Journals (Sweden)

    Nomeda Dobrovolskienė

    2016-05-01

    Full Text Available Modern portfolio theory attempts to maximize the expected return of a portfolio for a given level of portfolio risk, or equivalently minimize risk for a given level of expected return. The reality, however, shows that, when selecting projects to a portfolio and allocating resources in the portfolio, an increasing number of organizations take into account other aspects as well. As a result of the sole purpose (risk-return, it offers only a partial solution for a sustainable organization. Existing project portfolio selection and resource allocation methods and models do not consider sustainability. Therefore, the aim of this article is to develop a sustainability-oriented model of financial resource allocation in a project portfolio by integrating a composite sustainability index of a project into Markowitz’s classical risk-return scheme (mean-variance model. The model was developed by applying multi-criteria decision-making methods. The practicability of the model was tested by an empirical study in a selected construction company. The proposed sustainability-oriented financial resource allocation model could be used in allocating financial resources in any type of business. The use of the model would not only help organisations to manage risk and achieve higher return but would also allow carrying out sustainable projects, thereby promoting greater environmental responsibility and giving more consideration to the wellbeing of future generations. Moreover, the model allows quantifying the impact of the integration of sustainability into financial resource allocation on the return of a portfolio.

  12. Assessment of standard compliance of Central European plastics-based wall cladding using multi-criteria decision making (MCDM

    Directory of Open Access Journals (Sweden)

    Daniel Friedrich

    2016-06-01

    Full Text Available Plastics are increasingly combined with renewable fibers to form materials such as wood-plastic composites (WPCs. These bio-based materials have gained the interest of the resource-intensive building industry and are currently used mainly for decking and cladding. Despite their environmental friendliness, WPC façades are still underrepresented in the market. This fact raises the question of whether WPC cladding is currently well positioned in the market and whether its attributes are advertised in a way that makes it stand out in a material selection process. A review of standards and codes relevant to façade design was carried out in this study, which allowed the identification of 21 product attributes as potential deciding factors in cladding product selection. Subsequently, the most promising attributes were used to assess commercially available plastics-based cladding products. By using multi-criteria decision making (MCDM it was found that WPC cladding is still far behind other cladding products with respect to standard compliance but has specific properties which support product optimization. MCDM can be used by WPC cladding manufacturers for strategic product development and by façade designers for material selection processes.

  13. 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.

  14. Identifying High-Risk Populations of Tuberculosis Using Environmental Factors and GIS Based Multi-Criteria Decision Making Method

    Science.gov (United States)

    Rasam, A. R. Abdul; Shariff, N. M.; Dony, J. F.

    2016-09-01

    Development of an innovative method to enhance the detection of tuberculosis (TB) in Malaysia is the latest agenda of the Ministry of Health. Therefore, a geographical information system (GIS) based index model is proposed as an alternative method for defining potential high-risk areas of local TB cases at Section U19, Shah Alam. It is adopted a spatial multi-criteria decision making (MCDM) method for ranking environmental risk factors of the disease in a standardised five-score scale. Scale 1 and 5 illustrate the lowest and the highest risk of the TB spread respectively, while scale from 3 to 5 is included as a potential risk level. These standardised scale values are then combined with expert normalised weights (0 to 1) to calculate the overall index values and produce a TB ranked map using a GIS overlay analysis and weighted linear combination. It is discovered that 71.43% of the Section is potential as TB high risk areas particularly at urban and densely populated settings. This predictive result is also reliable with the current real cases in 2015 by 76.00% accuracy. A GIS based MCDM method has demonstrated analytical capabilities in targeting high-risk spots and TB surveillance monitoring system of the country, but the result could be strengthened by applying other uncertainty assessment method.

  15. IDENTIFYING HIGH-RISK POPULATIONS OF TUBERCULOSIS USING ENVIRONMENTAL FACTORS AND GIS BASED MULTI-CRITERIA DECISION MAKING METHOD

    Directory of Open Access Journals (Sweden)

    A. R. Abdul Rasam

    2016-09-01

    Full Text Available Development of an innovative method to enhance the detection of tuberculosis (TB in Malaysia is the latest agenda of the Ministry of Health. Therefore, a geographical information system (GIS based index model is proposed as an alternative method for defining potential high-risk areas of local TB cases at Section U19, Shah Alam. It is adopted a spatial multi-criteria decision making (MCDM method for ranking environmental risk factors of the disease in a standardised five-score scale. Scale 1 and 5 illustrate the lowest and the highest risk of the TB spread respectively, while scale from 3 to 5 is included as a potential risk level. These standardised scale values are then combined with expert normalised weights (0 to 1 to calculate the overall index values and produce a TB ranked map using a GIS overlay analysis and weighted linear combination. It is discovered that 71.43% of the Section is potential as TB high risk areas particularly at urban and densely populated settings. This predictive result is also reliable with the current real cases in 2015 by 76.00% accuracy. A GIS based MCDM method has demonstrated analytical capabilities in targeting high-risk spots and TB surveillance monitoring system of the country, but the result could be strengthened by applying other uncertainty assessment method.

  16. Multi-Gaussian fitting for pulse waveform using Weighted Least Squares and multi-criteria decision making method.

    Science.gov (United States)

    Wang, Lu; Xu, Lisheng; Feng, Shuting; Meng, Max Q-H; Wang, Kuanquan

    2013-11-01

    Analysis of pulse waveform is a low cost, non-invasive method for obtaining vital information related to the conditions of the cardiovascular system. In recent years, different Pulse Decomposition Analysis (PDA) methods have been applied to disclose the pathological mechanisms of the pulse waveform. All these methods decompose single-period pulse waveform into a constant number (such as 3, 4 or 5) of individual waves. Furthermore, those methods do not pay much attention to the estimation error of the key points in the pulse waveform. The estimation of human vascular conditions depends on the key points' positions of pulse wave. In this paper, we propose a Multi-Gaussian (MG) model to fit real pulse waveforms using an adaptive number (4 or 5 in our study) of Gaussian waves. The unknown parameters in the MG model are estimated by the Weighted Least Squares (WLS) method and the optimized weight values corresponding to different sampling points are selected by using the Multi-Criteria Decision Making (MCDM) method. Performance of the MG model and the WLS method has been evaluated by fitting 150 real pulse waveforms of five different types. The resulting Normalized Root Mean Square Error (NRMSE) was less than 2.0% and the estimation accuracy for the key points was satisfactory, demonstrating that our proposed method is effective in compressing, synthesizing and analyzing pulse waveforms.

  17. A subjective framework for seat comfort based on a heuristic multi criteria decision making technique and anthropometry.

    Science.gov (United States)

    Fazlollahtabar, Hamed

    2010-12-01

    Consumer expectations for automobile seat comfort continue to rise. With this said, it is evident that the current automobile seat comfort development process, which is only sporadically successful, needs to change. In this context, there has been growing recognition of the need for establishing theoretical and methodological automobile seat comfort. On the other hand, seat producer need to know the costumer's required comfort to produce based on their interests. The current research methodologies apply qualitative approaches due to anthropometric specifications. The most significant weakness of these approaches is the inexact extracted inferences. Despite the qualitative nature of the consumer's preferences there are some methods to transform the qualitative parameters into numerical value which could help seat producer to improve or enhance their products. Nonetheless this approach would help the automobile manufacturer to provide their seats from the best producer regarding to the consumers idea. In this paper, a heuristic multi criteria decision making technique is applied to make consumers preferences in the numeric value. This Technique is combination of Analytical Hierarchy Procedure (AHP), Entropy method, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). A case study is conducted to illustrate the applicability and the effectiveness of the proposed heuristic approach.

  18. Selection of a Suitable Method for the Preparation of Polymeric Nanoparticles: Multi-Criteria Decision Making Approach

    Directory of Open Access Journals (Sweden)

    Manikandan Mahalingam

    2015-03-01

    Full Text Available Purpose: The present study is aimed to select the suitable method for preparation of camptothecin loaded polymeric nanoparticles by utilizing the multi-criteria decision making method. Novel approaches of drug delivery by formulation using nanotechnology are revolutionizing the future of medicine. Recent years have witnessed unprecedented growth of research and application in the area of nanotechnology. Nanoparticles have become an important area of research in the field of drug delivery because they have the ability to deliver a wide range of drug to varying areas of body. Methods: Despite of extensive research and development, polymeric nanoparticles are frequently used to improve the therapeutic effect of drugs. A number of techniques are available for the preparation of polymeric nanoparticles. The Analytical Hierarchy Process (AHP is a method for decision making, which are derived from individual judgements for qualitative factors, using the pair-wise comparison matrix. In AHP, a decision hierarchy is constructed with a goal, criteria and alternatives. Results: The model uses three main criteria 1 Instrument, 2 Process and Output and 3 Cost. In addition, there are eight sub-criteria’s as well as eight alternatives. Pair-wise comparison matrixes are used to obtain the overall priority weight and ranking for the selection of suitable method. Nanoprecipitation technique is the most suitable method for the preparation of camptothecin loaded polymeric nanoparticles with the highest overall priority weight of 0.297 Conclusion: In particular, the result indicates that the priority weights obtained from AHP could be defined as a multiple output for finding out the most suitable method for preparation of camptothecin loaded polymeric nanoparticles.

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

    Science.gov (United States)

    Scholten, Lisa; Maurer, Max; Lienert, Judit

    2017-01-01

    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 supply planning

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

    Science.gov (United States)

    Maurer, Max; Lienert, Judit

    2017-01-01

    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 supply

  1. Selection of a suitable method for the preparation of polymeric nanoparticles: multi-criteria decision making approach.

    Science.gov (United States)

    Krishnamoorthy, Kannan; Mahalingam, Manikandan

    2015-03-01

    The present study is aimed to select the suitable method for preparation of camptothecin loaded polymeric nanoparticles by utilizing the multi-criteria decision making method. Novel approaches of drug delivery by formulation using nanotechnology are revolutionizing the future of medicine. Recent years have witnessed unprecedented growth of research and application in the area of nanotechnology. Nanoparticles have become an important area of research in the field of drug delivery because they have the ability to deliver a wide range of drug to varying areas of body. Despite of extensive research and development, polymeric nanoparticles are frequently used to improve the therapeutic effect of drugs. A number of techniques are available for the preparation of polymeric nanoparticles. The Analytical Hierarchy Process (AHP) is a method for decision making, which are derived from individual judgements for qualitative factors, using the pair-wise comparison matrix. In AHP, a decision hierarchy is constructed with a goal, criteria and alternatives. The model uses three main criteria 1) Instrument, 2) Process and Output and 3) Cost. In addition, there are eight sub-criteria's as well as eight alternatives. Pair-wise comparison matrixes are used to obtain the overall priority weight and ranking for the selection of suitable method. Nanoprecipitation technique is the most suitable method for the preparation of camptothecin loaded polymeric nanoparticles with the highest overall priority weight of 0.297 CONCLUSION: In particular, the result indicates that the priority weights obtained from AHP could be defined as a multiple output for finding out the most suitable method for preparation of camptothecin loaded polymeric nanoparticles.

  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. Assessing the sustainability of forest management: an application of multi-criteria decision analysis to community forests in northern Ethiopia.

    Science.gov (United States)

    Balana, Bedru Babulo; Mathijs, Erik; Muys, Bart

    2010-06-01

    Continuous deterioration of the natural resource base has become a serious threat to both the ecological systems and economic production in Ethiopia. Many of these problems have been attributed directly or indirectly to the rapid dwindling of the country's forest cover which is associated with unsustainable forest use and management. Closing community woodlands from human and livestock intervention to promote natural regeneration of forests has been one of the environmental restoration strategies pursued in the degraded highland areas of northern Ethiopia. However, local pressure to use reforested community lands for economic benefit has become a major threat to forest sustainability. Using locally identified sets of criteria and indicators for sustainable community forest management, this paper applies a multi-criteria decision analysis tool to evaluate forest management problems in the northern province of Tigray, Ethiopia. Three MCA methods - ranking, pair-wise comparison, and scoring - were used in evaluating the sets of criteria and indicators and alternative forest management scenarios. Results from the study indicate a number of noteworthy points: 1) MCA techniques both for identifying local level sustainability criteria and indicators and evaluating management schemes in a participatory decision environment appear to be effective tools to address local resource management problems; 2) Evaluated against the selected sets of criteria and indicators, the current forest management regime in the study area is not on a sustainable path; 3) Acquainting local people with adequate environmental knowledge and raising local awareness about the long-term consequences of environmental degradation ranked first among the set of sustainability criteria; and 4) In order to harmonize both environmental and economic objectives, the present 'ecological-biased' forest management regime needs to be substituted by an appropriate holistic scheme that takes into account

  4. Integrated resource planning and the environment: A guide to the use of multi-criteria decision methods

    Energy Technology Data Exchange (ETDEWEB)

    Hobbs, B.F.; Meier, P. [IDEA, Inc., Washington, DC (United States)

    1994-07-01

    This report is intended as a guide to the use of multi-criteria decision-making methods (MCDM) for incorporating environmental factors in electric utility integrated resource planning (IRP). Application of MCDM is emerging as an alternative and complementary method to explicit economic valuation for weighting environmental effects. We provide a step-by-step guide to the elements that are common to all MCDM applications. The report discusses how environmental attributes should be selected and defined; how options should be selected (and how risk and uncertainty should be accounted for); how environmental impacts should be quantified (with particular attention to the problems of location); how screening should be conducted; the construction and analysis of trade-off curves; dominance analysis, which seeks to identify clearly superior options, and reject clearly inferior options; scaling of impacts, in which we translate social, economic and environmental impacts into value functions; the determination of weights, with particular emphasis on ensuring that the weights reflect the trade-offs that decision-makers are actually willing to make; the amalgamation of attributes into overall plan rankings; and the resolution of differences among methods, and between individuals. There are many MCDM methods available for accomplishing these steps. They can differ in their appropriateness, ease of use, validity, and results. This report also includes an extensive review of past applications, in which we use the step-by-step guide to examine how these applications satisfied the criteria of appropriateness, ease of use, and validity. Case material is drawn from a wide field of utility applications, ranging from project-level environmental impact statements to capacity bidding programs, and from the results of two case studies conducted as part of this research.

  5. Balancing costs and benefits at different stages of medical innovation: a systematic review of Multi-criteria decision analysis (MCDA).

    Science.gov (United States)

    Wahlster, Philip; Goetghebeur, Mireille; Kriza, Christine; Niederländer, Charlotte; Kolominsky-Rabas, Peter

    2015-07-09

    The diffusion of health technologies from translational research to reimbursement depends on several factors included the results of health economic analysis. Recent research identified several flaws in health economic concepts. Additionally, the heterogeneous viewpoints of participating stakeholders are rarely systematically addressed in current decision-making. Multi-criteria Decision Analysis (MCDA) provides an opportunity to tackle these issues. The objective of this study was to review applications of MCDA methods in decisions addressing the trade-off between costs and benefits. Using basic steps of the PRISMA guidelines, a systematic review of the healthcare literature was performed to identify original research articles from January 1990 to April 2014. Medline, PubMed, Springer Link and specific journals were searched. Using predefined categories, bibliographic records were systematically extracted regarding the type of policy applications, MCDA methodology, criteria used and their definitions. 22 studies were included in the analysis. 15 studies (68 %) used direct MCDA approaches and seven studies (32 %) used preference elicitation approaches. Four studies (19 %) focused on technologies in the early innovation process. The majority (18 studies - 81 %) examined reimbursement decisions. Decision criteria used in studies were obtained from the literature research and context-specific studies, expert opinions, and group discussions. The number of criteria ranged between three up to 15. The most frequently used criteria were health outcomes (73 %), disease impact (59 %), and implementation of the intervention (40 %). Economic criteria included cost-effectiveness criteria (14 studies, 64 %), and total costs/budget impact of an intervention (eight studies, 36 %). The process of including economic aspects is very different among studies. Some studies directly compare costs with other criteria while some include economic consideration in a second step. In early

  6. How important is Overdiagnosis to members of the public offered the chance to include it in an online multi-criteria decision aid for prostate cancer screening?

    DEFF Research Database (Denmark)

    Kaltoft, Mette Kjer; Nielsen, Jesper Bo; Salkeld, Glenn;

    Objectives To establish the proportion of men who chose to include Overdiagnosis as a criterion in an online multi-criteria decision aid for the prostate cancer screening decision; and to determine the relative importance assigned to Overdiagnosis by those who included it in their personalised aid...... was 33%. Conclusions Overdiagnosis was prominent among the criteria selected from a menu by male members of the public participating in a trial of online multi-criteria decision aids for prostate cancer. Notably, over 40% of those who excluded 4 to 6 of the 10 criteria included Overdiagnosis in their aid....... Methods The data are from the 'Pick Your Own' arm of an Australian community panel-based trial involving men aged 40-69 years without diagnosed prostate cancer. The 720 participants were asked to choose between 1 and 10 criteria for inclusion in their aid. With only Overdiagnosis spelled out here...

  7. 基于二型三角诱导OWA算子的多准则决策方法%Multi-criteria decision-making method based on triangular type-2 induced OWA operator

    Institute of Scientific and Technical Information of China (English)

    王坚强; 韩知秋

    2013-01-01

      定义了二型三角模糊数的相关概念、运算规则和可能度公式,并针对隶属度难以用精确数进行衡量的多准则决策问题,提出了基于二型三角诱导OWA算子的多准则决策方法。该方法通过二型三角诱导OWA算子确定方案的综合准则值,并由二型三角模糊数的可能度公式计算出综合准则值的排序,进而得到方案的排序。最后通过实例分析验证了所提出方法的有效性和可行性。%  The concepts, operating rules and possibility degree of triangular type-2 fuzzy numbers are proposed. For the problem of the multi-criteria decision making that the uncertainty of the criteria values is difficult to give with an accurate number, triangular type-2 fuzzy number is used to show the decision information. And multi-criteria decision-making method based on triangular type-2 induced OWA operator is proposed. In this method, the comprehensive criteria are attained by using the triangular type-2 induced OWA operator. Then the ranking of alternatives is obtained by using the possibility degree. Finally, an example analysis shows the feasibility and effectiveness of the proposed method.

  8. Fuzzy analytical hierarchy process and GIS for predictive cu -au ...

    African Journals Online (AJOL)

    Fuzzy analytical hierarchy process and GIS for predictive cu -au porphyry in ... process (Fuzzy AHP) that is the most popular multi-criteria decision-making techniques. ... for predictive Mineral prospectively mapping (MPM) for Cu -Au porphyry.

  9. SCORE: a novel multi-criteria decision analysis approach to assessing the sustainability of contaminated land remediation.

    Science.gov (United States)

    Rosén, Lars; Back, Pär-Erik; Söderqvist, Tore; Norrman, Jenny; Brinkhoff, Petra; Norberg, Tommy; Volchko, Yevheniya; Norin, Malin; Bergknut, Magnus; Döberl, Gernot

    2015-04-01

    The multi-criteria decision analysis (MCDA) method provides for a comprehensive and transparent basis for performing sustainability assessments. Development of a relevant MCDA-method requires consideration of a number of key issues, e.g. (a) definition of assessment boundaries, (b) definition of performance scales, both temporal and spatial, (c) selection of relevant criteria (indicators) that facilitate a comprehensive sustainability assessment while avoiding double-counting of effects, and (d) handling of uncertainties. Adding to the complexity is the typically wide variety of inputs, including quantifications based on existing data, expert judgements, and opinions expressed in interviews. The SCORE (Sustainable Choice Of REmediation) MCDA-method was developed to provide a transparent assessment of the sustainability of possible remediation alternatives for contaminated sites relative to a reference alternative, considering key criteria in the economic, environmental, and social sustainability domains. The criteria were identified based on literature studies, interviews and focus-group meetings. SCORE combines a linear additive model to rank the alternatives with a non-compensatory approach to identify alternatives regarded as non-sustainable. The key strengths of the SCORE method are as follows: a framework that at its core is designed to be flexible and transparent; the possibility to integrate both quantitative and qualitative estimations on criteria; its ability, unlike other sustainability assessment tools used in industry and academia, to allow for the alteration of boundary conditions where necessary; the inclusion of a full uncertainty analysis of the results, using Monte Carlo simulation; and a structure that allows preferences and opinions of involved stakeholders to be openly integrated into the analysis. A major insight from practical application of SCORE is that its most important contribution may be that it initiates a process where criteria

  10. Multi-criteria decision making in flood risk management: research progress and the challenge of handling uncertainty and stakeholder participation

    Science.gov (United States)

    Madruga de Brito, Mariana; Evers, Mariele

    2016-04-01

    Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners for solving flood risk management problems in the last decades due to its capacity to deal with multiple criteria, conflicting objectives as well as the knowledge arising from the participation of several actors. In order to consolidate recent research conducted in this area, this study presents a state-of-the-art literature review of MCDM applications to flood risk management, seeking to provide a better understanding of the current status of how participatory MCDM is being conducted and the way uncertainties are included in the decision-making process. Totally, 128 peer-reviewed papers published from 1995 to June 2015 in 72 different journals were systematically analyzed. Results indicated that the number of flood MCDM publications has exponentially grown during this period, with over 82% of all papers published since 2009. A wide range of application areas was identified, with most papers focusing on ranking alternatives for flood mitigation (22.78% of the total) followed by risk (21.11%) and vulnerability assessment (15%). The Analytical Hierarchy Process (AHP) was the most popular MCDM method (42.72%) followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) (13.33%) and Weighted Sum Method (WSM) (12.73%). Although significant improvements have been made over the last decades, shortcomings remain in handling the uncertainty. Only eight papers (6.25%) have conducted uncertainty analysis, suggesting that a general procedure for performing it in MCDM does not yet exist. Researchers have applied the Monte Carlo simulation, Taylor's series error propagation method or assessed the uncertainty in qualitative ways, by describing its main sources or analyzing the stakeholders' degree of confidence. In addition, 35 articles (27.34%) have performed a sensitivity analysis of the criteria weights. Three distinct approaches were

  11. Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

    OpenAIRE

    Venhorst, K.; Zelle, S.G.; Tromp, N.; Lauer, J.A.

    2014-01-01

    BACKGROUND: The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key role in MCDA, and our rating tool could be used as part of a broader priority setting exercise in a local setting. This tool may contribute to a more transparent priority-setting process and fairer...

  12. Integrated multi-criteria decision making techniques AHP with Geographic Information System for Modelling of suitable Landfill location: a case study in Keraniganj of Dhaka city, Bangladesh.

    Science.gov (United States)

    Iqbal, M.

    2015-12-01

    This study is approaches a GIS based multi-criteria decision making technique to select potential land fill in Keraniganj of Dhaka city in Bangladesh. Site selection of landfill for Municipal solid waste is an important concern for the urban government in whole world. Dhaka city is highly dense populated city in Bangladesh and municipal solid waste generation rate is increase rapidly day by day. These large amount of generated municipal waste needs appropriate landfill considering environmental, geological, social and technical aspect of the region. The traditional process of site selection process is much difficult, time consuming and costly and needs to replace by a new approaches. An integration of Geographical Information System (GIS) and Multi-criteria Evaluation (MCE) method is best combination to solve complex decision and used to select suitable site. Analytical Hierarchy process (AHP) is world widely most popular decision making MCE technique. In this study AHP used as a multi-criteria decision making to compare five suitability attributes with each other and evaluate weight according to attributes potentiality. Various type raster map layer created using GIS tool for this study. Five suitability raster was assigned with the AHP calculated weight value. A combined weighted spatial layer obtained name as suitability map which is overlapped with a restriction raster map, as result a final suitable map was obtained. The result shows that 12.2% of the area is suitable for constructing landfill site where 4.9% is very high suitable, 2.6% is moderate suitable and 4.7% is low suitable. The final site is constructed after detail field investigation, other technical investigation, land ownership status and public acceptancy. Suitable site selection for non-hazardous landfill is not easy and its needs to consider many environmental factor at time. GIS tool combining with many decision making tool such as multi-criteria evaluation can solve this problem. A combining

  13. 基于直觉模糊熵的多目标决策%Multi-Objective Decision-Making Based on the Entropy of Intuitionistic Fuzzy Sets

    Institute of Scientific and Technical Information of China (English)

    白植铭; 裴道武; 毛敏

    2012-01-01

    讨论了基于直觉模糊集的多准则决策,提出了一种新的决策方法:基于直觉模糊熵的多目标决策.给出不同的直觉模糊熵用于多目标决策,并给出了基于直觉模糊熵的多目标决策具体算法.通过具体实例,说明运用不同的直觉模糊熵得出的结果基本是一致的,这说明了决策具体算法的合理性,从而说明基于直觉模糊熵的多目标决策是可行的.%In this paper, we discuss multi-objective decision-making based on intuitionistic fuzzy sets, and propose a new method based on the entropy of intuitionistic fuzzy sets in fuzzy multi- criteria decision-making. We use the selected intuitionistic fuzzy entropy to design a new algorithm for fuzzy multi-criteria decision-making in the setting of intuitionistic fuzzy sets. By concrete examples, we show the consistency of different intuitionistic fuzzy entropies. This fact shows both the rationality of our algorithm and feasibility of the fuzzy multi-criteria decision-making based on the entropies of intuitionistic fuzzy sets.

  14. Incorporating Ecosystem Function Concept in Environmental Planning and Decision Making by Means of Multi-Criteria Evaluation: The Case-Study of Kalloni, Lesbos, Greece

    Science.gov (United States)

    Oikonomou, Vera; Dimitrakopoulos, Panayiotis G.; Troumbis, Andreas Y.

    2011-01-01

    Nature provides life-support services which do not merely constitute the basis for ecosystem integrity but also benefit human societies. The importance of such multiple outputs is often ignored or underestimated in environmental planning and decision making. The economic valuation of ecosystem functions or services has been widely used to make these benefits economically visible and thus address this deficiency. Alternatively, the relative importance of the components of ecosystem value can be identified and compared by means of multi-criteria evaluation. Hereupon, this article proposes a conceptual framework that couples ecosystem function analysis, multi criteria evaluation and social research methodologies for introducing an ecosystem function-based planning and management approach. The framework consists of five steps providing the structure of a participative decision making process which is then tested and ratified, by applying the discrete multi-criteria method NAIADE, in the Kalloni Natura 2000 site, on Lesbos, Greece. Three scenarios were developed and evaluated with regard to their impacts on the different types of ecosystem functions and the social actors' value judgements. A conflict analysis permitted the better elaboration of the different views, outlining the coalitions formed in the local community and shaping the way towards reaching a consensus.

  15. Incorporating ecosystem function concept in environmental planning and decision making by means of multi-criteria evaluation: the case-study of Kalloni, Lesbos, Greece.

    Science.gov (United States)

    Oikonomou, Vera; Dimitrakopoulos, Panayiotis G; Troumbis, Andreas Y

    2011-01-01

    Nature provides life-support services which do not merely constitute the basis for ecosystem integrity but also benefit human societies. The importance of such multiple outputs is often ignored or underestimated in environmental planning and decision making. The economic valuation of ecosystem functions or services has been widely used to make these benefits economically visible and thus address this deficiency. Alternatively, the relative importance of the components of ecosystem value can be identified and compared by means of multi-criteria evaluation. Hereupon, this article proposes a conceptual framework that couples ecosystem function analysis, multi criteria evaluation and social research methodologies for introducing an ecosystem function-based planning and management approach. The framework consists of five steps providing the structure of a participative decision making process which is then tested and ratified, by applying the discrete multi-criteria method NAIADE, in the Kalloni Natura 2000 site, on Lesbos, Greece. Three scenarios were developed and evaluated with regard to their impacts on the different types of ecosystem functions and the social actors' value judgements. A conflict analysis permitted the better elaboration of the different views, outlining the coalitions formed in the local community and shaping the way towards reaching a consensus.

  16. Zoonotic cutaneous leishmaniasis in northeastern Iran: a GIS-based spatio-temporal multi-criteria decision-making approach.

    Science.gov (United States)

    Mollalo, A; Khodabandehloo, E

    2016-07-01

    Zoonotic cutaneous leishmaniasis (ZCL) constitutes a serious public health problem in many parts of the world including Iran. This study was carried out to assess the risk of the disease in an endemic province by developing spatial environmentally based models in yearly intervals. To fill the gap of underestimated true burden of ZCL and short study period, analytical hierarchy process (AHP) and fuzzy AHP decision-making methods were used to determine the ZCL risk zones in a Geographic Information System platform. Generated risk maps showed that high-risk areas were predominantly located at the northern and northeastern parts in each of the three study years. Comparison of the generated risk maps with geocoded ZCL cases at the village level demonstrated that in both methods more than 90%, 70% and 80% of the cases occurred in high and very high risk areas for the years 2010, 2011, and 2012, respectively. Moreover, comparison of the risk categories with spatially averaged normalized difference vegetation index (NDVI) images and a digital elevation model of the study region indicated persistent strong negative relationships between these environmental variables and ZCL risk degrees. These findings identified more susceptible areas of ZCL and will help the monitoring of this zoonosis to be more targeted.

  17. 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.

  18. Is it the time to rethink clinical decision-making strategies? From a single clinical outcome evaluation to a Clinical Multi-criteria Decision Assessment (CMDA).

    Science.gov (United States)

    Migliore, Alberto; Integlia, Davide; Bizzi, Emanuele; Piaggio, Tomaso

    2015-10-01

    There are plenty of different clinical, organizational and economic parameters to consider in order having a complete assessment of the total impact of a pharmaceutical treatment. In the attempt to follow, a holistic approach aimed to provide an evaluation embracing all clinical parameters in order to choose the best treatments, it is necessary to compare and weight multiple criteria. Therefore, a change is required: we need to move from a decision-making context based on the assessment of one single criteria towards a transparent and systematic framework enabling decision makers to assess all relevant parameters simultaneously in order to choose the best treatment to use. In order to apply the MCDA methodology to clinical decision making the best pharmaceutical treatment (or medical devices) to use to treat a specific pathology, we suggest a specific application of the Multiple Criteria Decision Analysis for the purpose, like a Clinical Multi-criteria Decision Assessment CMDA. In CMDA, results from both meta-analysis and observational studies are used by a clinical consensus after attributing weights to specific domains and related parameters. The decision will result from a related comparison of all consequences (i.e., efficacy, safety, adherence, administration route) existing behind the choice to use a specific pharmacological treatment. The match will yield a score (in absolute value) that link each parameter with a specific intervention, and then a final score for each treatment. The higher is the final score; the most appropriate is the intervention to treat disease considering all criteria (domain an parameters). The results will allow the physician to evaluate the best clinical treatment for his patients considering at the same time all relevant criteria such as clinical effectiveness for all parameters and administration route. The use of CMDA model will yield a clear and complete indication of the best pharmaceutical treatment to use for patients

  19. Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making

    Energy Technology Data Exchange (ETDEWEB)

    Tahvili, Sahar [Mälardalen University (Sweden); Österberg, Jonas; Silvestrov, Sergei [Division of Applied Mathematics, Mälardalen University (Sweden); Biteus, Jonas [Scania CV (Sweden)

    2014-12-10

    One of the most important factors in the operations of many cooperations today is to maximize profit and one important tool to that effect is the optimization of maintenance activities. Maintenance activities is at the largest level divided into two major areas, corrective maintenance (CM) and preventive maintenance (PM). When optimizing maintenance activities, by a maintenance plan or policy, we seek to find the best activities to perform at each point in time, be it PM or CM. We explore the use of stochastic simulation, genetic algorithms and other tools for solving complex maintenance planning optimization problems in terms of a suggested framework model based on discrete event simulation.

  20. Multi-criteria aid for group decision making on gas pipeline risk analysis; Apoio multicriterio a decisao em grupo na analise de risco em gasodutos

    Energy Technology Data Exchange (ETDEWEB)

    Lopes, Yuri G.; Cavalcante, Cristiano A.V.; Brito, Anderson J. de M.; Almeida, Adiel T. de [Universidade Federal de Pernambuco (UFPE), Recife, PE (Brazil)

    2008-07-01

    Risks are, by nature, subjective, and therefore, complex. They present multidimensional aspects and involve various stakeholders. The pipelines transmission and distribution of natural gas (NG) involve various scenarios of risks, resulting from the distinct environments where the supply chain of NG is inserted. This paper proposes a multi criteria model for group decision support, based on the GDSS PROMETHEE approach, for risk assessment in pipelines sections. The proposed model aims to establish a ranking between the sections of a pipeline network, in order to provide insights to the definition of risk mitigation actions. (author)

  1. Definition of criteria related to occupational exposure for use in multi-criteria decision making process for nuclear accidents in Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Diogo N.G.; Guimaraes, Jean R.D., E-mail: dneves@biof.ufrj.br, E-mail: jeanrdg@biof.ufrj.br [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Instituto de Biofisica Carlos Chagas Filho; Rochedo, Elaine R.R., E-mail: elainerochedo@gmail.com [Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear

    2013-07-01

    After the occurrence of nuclear or radiological accidents, the selection of strategies for remediation of contaminated areas and of protective measures for members of public should be based on previously established criteria. Hence, it becomes possible to reduce the stress of population and to prevent the exposure of workers, especially if an implemented measure is not effective in reducing doses for each particular situation. When an accident with radioactive material causes environmental contamination, decisions about remediation of affected areas are complex because there are many factors associated with decontamination processes. Such complexity is related to technical procedures, public acceptance, the feasibility of implementing the measure, costs and legal aspects. This work is part of a project which aims to develop a multi-criteria tool to provide support for decision making processes in cases of nuclear or radiological accidents in Brazil. Primarily, a database containing information about protective and remediation measures for contaminated areas which can be applied nationally was created. Some criteria have already been defined for the classification of these measures regarding aspects of relevance of pathways to public exposure and of the infrastructure necessary to implement the measure. In this paper, the issues related to the exposure of the workforce are assessed and compared to the dose averted to members of the public resulting from the implementation of each remediation procedure. The procedures described in the database are then ranked according to selected criteria. In the next step, these ratings will be incorporated by the multi-criteria tool. (author)

  2. Hybrid Multicriteria Group Decision Making Method for Information System Project Selection Based on Intuitionistic Fuzzy Theory

    Directory of Open Access Journals (Sweden)

    Jian Guo

    2013-01-01

    Full Text Available Information system (IS project selection is of critical importance to every organization in dynamic competing environment. The aim of this paper is to develop a hybrid multicriteria group decision making approach based on intuitionistic fuzzy theory for IS project selection. The decision makers’ assessment information can be expressed in the form of real numbers, interval-valued numbers, linguistic variables, and intuitionistic fuzzy numbers (IFNs. All these evaluation pieces of information can be transformed to the form of IFNs. Intuitionistic fuzzy weighted averaging (IFWA operator is utilized to aggregate individual opinions of decision makers into a group opinion. Intuitionistic fuzzy entropy is used to obtain the entropy weights of the criteria. TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate IS project in group decision making environment. Finally, a numerical example for information system projects selection is given to illustrate application of hybrid multi-criteria group decision making (MCGDM method based on intuitionistic fuzzy theory and TOPSIS method.

  3. Multi-Criteria Optimization for Image Guidance

    CERN Document Server

    Winey, Brian

    2011-01-01

    Purpose: To develop a multi-criteria optimization framework for image guided radiotherapy. Methods: An algorithm is proposed for a multi-criteria framework for the purpose of patient setup verification decision processes. Optimal patient setup shifts and rotations are not always straightforward, particularly for deformable or moving targets of the spine, abdomen, thorax, breast, head and neck and limbs. The algorithm relies upon dosimetric constraints and objectives to aid in the patient setup such that the patient is setup to maximize tumor dose coverage and minimize dose to organs at risk while allowing for daily clinical changes. A simple 1D model and a lung lesion are presented. Results: The algorithm delivers a multi-criteria optimization framework allowing for clinical decisions to accommodate patient target variation make setup decisions less straightforward. With dosimetric considerations, optimal patient positions can be derived. Conclusions: A multi-criteria framework is demonstrated to aid in the p...

  4. 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

    . 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...

  5. 多传感器数据融合的多准则决策模型%Multi-criteria decision model of multi-sensor data fusion

    Institute of Scientific and Technical Information of China (English)

    周杰; 蔡世清; 朱伟娜

    2016-01-01

    A new multi-sensor data fusion method using multi-criteria decision aid is proposed,which considers several indicators to reduce the decision subjectivity and contingency. Different fusion levels in the multi-sensor target recognition system is proposed to define multiple criteria, hence to gain more information of multi-criteria qualitatively. With no information about the preference of the decision maker for each criteria, the criteria weights vector can be obtained by solving a multi-objective optimization which intends to minimize the criteria redundancy and maximize the diversity factor of every criteria. The simulation results show that the proposed method performs better in anti-risk capability and stability than the mono-criteria and decision-making level method.%在多准则下考察传感器的融合权重,提出一种新的多传感器数据融合方法。通过多个性能指标折中估计传感器权重,以降低决策的主观性和偶然性;提出从不同融合级别来定义多个准则,定性地提高了多准则的信息量;在没有决策者对各准则偏好信息的情况下,以最小化准则冗余度和最大化评价差异度为原则建立多目标优化模型对准则权重向量优化求解。仿真实验结果表明,相比于单准则和单层次的融合方法,所提出方法具有更低的决策风险和更高的稳定性。

  6. 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.

  7. 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

  8. Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method

    Science.gov (United States)

    Lee, G.; Jun, K. S.; Chung, E.-S.

    2015-04-01

    This study proposes an improved group decision making (GDM) framework that combines the VIKOR method with data fuzzification to quantify the spatial flood vulnerability including multiple criteria. In general, GDM method is an effective tool for formulating a compromise solution that involves various decision makers since various stakeholders may have different perspectives on their flood risk/vulnerability management responses. The GDM approach is designed to achieve consensus building that reflects the viewpoints of each participant. The fuzzy VIKOR method was developed to solve multi-criteria decision making (MCDM) problems with conflicting and noncommensurable criteria. This comprising method can be used to obtain a nearly ideal solution according to all established criteria. This approach effectively can propose some compromising decisions by combining the GDM method and fuzzy VIKOR method. The spatial flood vulnerability of the southern Han River using the GDM approach combined with the fuzzy VIKOR method was compared with the spatial flood vulnerability using general MCDM methods, such as the fuzzy TOPSIS and classical GDM methods (i.e., Borda, Condorcet, and Copeland). As a result, the proposed fuzzy GDM approach can reduce the uncertainty in the data confidence and weight derivation techniques. Thus, the combination of the GDM approach with the fuzzy VIKOR method can provide robust prioritization because it actively reflects the opinions of various groups and considers uncertainty in the input data.

  9. An Investment Decision using Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Marius Bălaş

    2011-06-01

    Full Text Available The paper presents a decision-making case study: the choice of a production line for natural juices, among 10 offers com-ing from 5 countries. 6 performance criteria are applied, some of them being fuzzy. Two solutions are provided: a conventional one, based on the affiliation degrees calculus and a fuzzy-interpolative one.

  10. Monte Carlo-based interval transformation analysis for multi-criteria decision analysis of groundwater management strategies under uncertain naphthalene concentrations and health risks

    Science.gov (United States)

    Ren, Lixia; He, Li; Lu, Hongwei; Chen, Yizhong

    2016-08-01

    A new Monte Carlo-based interval transformation analysis (MCITA) is used in this study for multi-criteria decision analysis (MCDA) of naphthalene-contaminated groundwater management strategies. The analysis can be conducted when input data such as total cost, contaminant concentration and health risk are represented as intervals. Compared to traditional MCDA methods, MCITA-MCDA has the advantages of (1) dealing with inexactness of input data represented as intervals, (2) mitigating computational time due to the introduction of Monte Carlo sampling method, (3) identifying the most desirable management strategies under data uncertainty. A real-world case study is employed to demonstrate the performance of this method. A set of inexact management alternatives are considered in each duration on the basis of four criteria. Results indicated that the most desirable management strategy lied in action 15 for the 5-year, action 8 for the 10-year, action 12 for the 15-year, and action 2 for the 20-year management.

  11. 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

    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...... rather than the entire population. The characteristics can be objective health indicators or, as in our case, individual's preferences, expressed as importance weights for criteria. The techniques vary in their assumptions and procedures, and typically produce different results, although their common aim...... their mean importance weights with the performance ratings in the evidence base showed that no PSA screening emerged as optimum for all subgroups (results shown only for the Ward's method). By following the link in the appendix, the reader can interact with the underlying online program and establish...

  12. Multi-criteria decision making development of ion chromatographic method for determination of inorganic anions in oilfield waters based on artificial neural networks retention model.

    Science.gov (United States)

    Stefanović, Stefica Cerjan; Bolanča, Tomislav; Luša, Melita; Ukić, Sime; Rogošić, Marko

    2012-02-24

    This paper describes the development of ad hoc methodology for determination of inorganic anions in oilfield water, since their composition often significantly differs from the average (concentration of components and/or matrix). Therefore, fast and reliable method development has to be performed in order to ensure the monitoring of desired properties under new conditions. The method development was based on computer assisted multi-criteria decision making strategy. The used criteria were: maximal value of objective functions used, maximal robustness of the separation method, minimal analysis time, and maximal retention distance between two nearest components. Artificial neural networks were used for modeling of anion retention. The reliability of developed method was extensively tested by the validation of performance characteristics. Based on validation results, the developed method shows satisfactory performance characteristics, proving the successful application of computer assisted methodology in the described case study.

  13. INDUCTION OF DECISION TREES BASED ON A FUZZY NEURAL NETWORK

    Institute of Scientific and Technical Information of China (English)

    Tang Bin; Hu Guangrui; Mao Xiaoquan

    2002-01-01

    Based on a fuzzy neural network, the letter presents an approach for the induction of decision trees. The approach makes use of the weights of fuzzy mappings in the fuzzy neural network which has been trained. It can realize the optimization of fuzzy decision trees by branch cutting, and improve the ratio of correctness and efficiency of the induction of decision trees.

  14. Cloud Package Selection for Academic Requirements using Multi Criteria Decision Making based Modified Ant Colony Optimization Technique

    Directory of Open Access Journals (Sweden)

    C.Madhumathi

    2016-04-01

    Full Text Available Quality of Service (QoS and user satisfaction are two of the major requirements considered by the current cloud service providers. In-order to incorporate these qualities in the cloud resource selection framework, user’s requirements must be clearly known. This paper presents an effective cloud package allocation technique that utilizes the user’s logs and fuzzy user inputs to identify the user requirements to perform optimal allocations. Since cloud packages are predefined and do not correspond to the direct user requirements, optimal package allocation is the only option. This process is carried out by Ant Colony Optimization (ACO. Due to the metaheuristic nature of ACO, the results obtained from this selection technique was found to be optimal and the results were obtained faster even with the usage of a large number of agents (ants. Experiments show that ACO provides optimal and fast allocations.

  15. Assessing future scenarios for health care waste management using a multi-criteria decision analysis tool: A case study in the Turkish West Black Sea Region.

    Science.gov (United States)

    Ciplak, Nesli

    2015-08-01

    The aim of this paper is to identify the best possible health care waste management option in the West Black Sea Region by taking into account economic, social, environmental, and technical aspects in the concept of multi-criteria decision analysis. In the scope of this research, three different health care waste management scenarios that consist of different technology alternatives were developed and compared using a decision-making computer software, called Right Choice, by identifying various criteria, measuring them, and ranking their relative importance from the point of key stakeholders. The results of the study show that the decentralized autoclave technology option coupled with the disposal through land-filling with energy recovery has potential to be an optimum option for health care waste management system, and an efficient health care waste segregation scheme should be given more attention by the authorities in the region. Furthermore, the discussion of the results points out multidisciplinary approach and the equilibrium between social, environmental, economic, and technical criteria. The methodology used in this research was developed in order to enable the decision makers to gain an increased perception of a decision problem. In general, the results and remarks of this study can be used as a basis of future planning and anticipation of needs for investment in the area of health care waste management in the region and also in developing countries that are dealing with the similar waste management problems.

  16. Multi criteria decision making to select the suitable method for the preparation of nanoparticles using an analytical hierarchy process.

    Science.gov (United States)

    Velmurugan, R; Selvamuthukumar, S; Manavalan, R

    2011-11-01

    Selecting the right method for the preparation of nanoparticles is a crucial decision. A wrong decision can result in the product having to be formulated and developed again. One tool that can be useful in determining the most appropriate method is the Analytical Hierarchy Process (AHP). AHP has been employed in almost all areas related to decision-making problems. In this paper, the results of a case study illustrate that the AHP concept can assist designers in the effective evaluation of various methods available for the preparation of nanoparticles. This paper presents the methodology of selecting the most suitable method for preparing nanoparticles using the analytical hierarchy process.

  17. Multi-criteria decision analysis as an innovative approach to managing zoonoses: results from a study on Lyme disease in Canada.

    Science.gov (United States)

    Aenishaenslin, Cécile; Hongoh, Valérie; Cissé, Hassane Djibrilla; Hoen, Anne Gatewood; Samoura, Karim; Michel, Pascal; Waaub, Jean-Philippe; Bélanger, Denise

    2013-09-30

    Zoonoses are a growing international threat interacting at the human-animal-environment interface and call for transdisciplinary and multi-sectoral approaches in order to achieve effective disease management. The recent emergence of Lyme disease in Quebec, Canada is a good example of a complex health issue for which the public health sector must find protective interventions. Traditional preventive and control interventions can have important environmental, social and economic impacts and as a result, decision-making requires a systems approach capable of integrating these multiple aspects of interventions. This paper presents the results from a study of a multi-criteria decision analysis (MCDA) approach for the management of Lyme disease in Quebec, Canada. MCDA methods allow a comparison of interventions or alternatives based on multiple criteria. MCDA models were developed to assess various prevention and control decision criteria pertinent to a comprehensive management of Lyme disease: a first model was developed for surveillance interventions and a second was developed for control interventions. Multi-criteria analyses were conducted under two epidemiological scenarios: a disease emergence scenario and an epidemic scenario. In general, we observed a good level of agreement between stakeholders. For the surveillance model, the three preferred interventions were: active surveillance of vectors by flagging or dragging, active surveillance of vectors by trapping of small rodents and passive surveillance of vectors of human origin. For the control interventions model, basic preventive communications, human vaccination and small scale landscaping were the three preferred interventions. Scenarios were found to only have a small effect on the group ranking of interventions in the control model. MCDA was used to structure key decision criteria and capture the complexity of Lyme disease management. This facilitated the identification of gaps in the scientific literature

  18. SU-E-J-04: A Data-Driven, Response-Based, Multi-Criteria Decision Support System for Personalized Lung Radiation Treatment Planning

    Energy Technology Data Exchange (ETDEWEB)

    Luo, Y; McShan, D; Schipper, M; Matuszak, M; Ten Haken, R [University of Michigan, Ann Arbor, MI (United States); Kong, F [Georgia Regents University, Augusta, GA (Georgia)

    2014-06-01

    Purpose: To develop a decision support tool to predict a patient's potential overall survival (OS) and radiation induced toxicity (RIT) based on clinical factors and responses during the course of radiotherapy, and suggest appropriate radiation dose adjustments to improve therapeutic effect. Methods: Important relationships between a patient's basic information and their clinical features before and during the radiation treatment are identified from historical clinical data by using statistical learning and data mining approaches. During each treatment period, a data analysis (DA) module predicts radiotherapy features such as time to local progression (TTLP), time to distant metastases (TTDM), radiation toxicity to different organs, etc., under possible future treatment plans based on patient specifics or responses. An information fusion (IF) module estimates intervals for a patient's OS and the probabilities of RIT from a treatment plan by integrating the outcomes of module DA. A decision making (DM) module calculates “satisfaction” with the predicted radiation outcome based on trade-offs between OS and RIT, and finds the best treatment plan for the next time period via multi-criteria optimization. Results: Using physical and biological data from 130 lung cancer patients as our test bed, we were able to train and implement the 3 modules of our decision support tool. Examples demonstrate how it can help predict a new patient's potential OS and RIT with different radiation dose plans along with how these combinations change with dose, thus presenting a range of satisfaction/utility for use in individualized decision support. Conclusion: Although the decision support tool is currently developed from a small patient sample size, it shows the potential for the improvement of each patient's satisfaction in personalized radiation therapy. The radiation treatment outcome prediction and decision making model needs to be evaluated with more

  19. Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model.

    Science.gov (United States)

    Aghajani Mir, M; Taherei Ghazvinei, P; Sulaiman, N M N; Basri, N E A; Saheri, S; Mahmood, N Z; Jahan, A; Begum, R A; Aghamohammadi, N

    2016-01-15

    Selecting a suitable Multi Criteria Decision Making (MCDM) method is a crucial stage to establish a Solid Waste Management (SWM) system. Main objective of the current study is to demonstrate and evaluate a proposed method using Multiple Criteria Decision Making methods (MCDM). An improved version of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) applied to obtain the best municipal solid waste management method by comparing and ranking the scenarios. Applying this method in order to rank treatment methods is introduced as one contribution of the study. Besides, Viekriterijumsko Kompromisno Rangiranje (VIKOR) compromise solution method applied for sensitivity analyses. The proposed method can assist urban decision makers in prioritizing and selecting an optimized Municipal Solid Waste (MSW) treatment system. Besides, a logical and systematic scientific method was proposed to guide an appropriate decision-making. A modified TOPSIS methodology as a superior to existing methods for first time was applied for MSW problems. Applying this method in order to rank treatment methods is introduced as one contribution of the study. Next, 11 scenarios of MSW treatment methods are defined and compared environmentally and economically based on the waste management conditions. Results show that integrating a sanitary landfill (18.1%), RDF (3.1%), composting (2%), anaerobic digestion (40.4%), and recycling (36.4%) was an optimized model of integrated waste management. An applied decision-making structure provides the opportunity for optimum decision-making. Therefore, the mix of recycling and anaerobic digestion and a sanitary landfill with Electricity Production (EP) are the preferred options for MSW management.

  20. Assessment of Service Quality in Teaching Hospitals of Yazd University of Medical Sciences: Using Multi-criteria Decision Making Techniques.

    Science.gov (United States)

    Shafii, Milad; Rafiei, Sima; Abooee, Fatemeh; Bahrami, Mohammad Amin; Nouhi, Mojtaba; Lotfi, Farhad; Khanjankhani, Khatere

    2016-08-01

    Hospitals as integrated parts of the wide-ranging health care systems have dominant focus on health care provision to meet, maintain and promote people's health needs of a community. This study aimed to assess the service quality of teaching hospitals of Yazd University of Medical Sciences using Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). A literature review and a qualitative method were used to obtain experts' viewpoints about the quality dimensions of hospital services to design a questionnaire. Then, using a self-made questionnaire, perceptions of 300 patients about the quality of delivered services were gathered. Finally, FAHP was applied to weigh each quality dimension and TOPSIS method to rank hospital wards. Six dimensions including responsiveness, assurance, security, tangibles, health communication and Patient orientation were identified as affecting aspects of hospital services quality among which, security and tangibles got the highest and lowest importance respectively (0.25406, 0.06883). Findings also revealed that in hospital A, orthopedics and ophthalmology wards obtained the highest score in terms of quality while cardiology department got the lowest ranking (0.954, 0.323). In hospital B, the highest and the lowest ranking was belonged to cardiology and surgical wards (0.895, 0.00) while in hospital C, surgical units were rated higher than internal wards (0.959, 0.851). Findings emphasized that the security dimension got the lowest ranking among SERVQUAL facets in studied hospitals. This requires hospital executives to pay special attention to the issue of patients' security and plan effectively for its promotion.

  1. A fuzzy expert system for diabetes decision support application.

    Science.gov (United States)

    Lee, Chang-Shing; Wang, Mei-Hui

    2011-02-01

    An increasing number of decision support systems based on domain knowledge are adopted to diagnose medical conditions such as diabetes and heart disease. It is widely pointed that the classical ontologies cannot sufficiently handle imprecise and vague knowledge for some real world applications, but fuzzy ontology can effectively resolve data and knowledge problems with uncertainty. This paper presents a novel fuzzy expert system for diabetes decision support application. A five-layer fuzzy ontology, including a fuzzy knowledge layer, fuzzy group relation layer, fuzzy group domain layer, fuzzy personal relation layer, and fuzzy personal domain layer, is developed in the fuzzy expert system to describe knowledge with uncertainty. By applying the novel fuzzy ontology to the diabetes domain, the structure of the fuzzy diabetes ontology (FDO) is defined to model the diabetes knowledge. Additionally, a semantic decision support agent (SDSA), including a knowledge construction mechanism, fuzzy ontology generating mechanism, and semantic fuzzy decision making mechanism, is also developed. The knowledge construction mechanism constructs the fuzzy concepts and relations based on the structure of the FDO. The instances of the FDO are generated by the fuzzy ontology generating mechanism. Finally, based on the FDO and the fuzzy ontology, the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application. Importantly, the proposed fuzzy expert system can work effectively for diabetes decision support application.

  2. Expected Value Method for Fuzzy Multiple Attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    This paper presents a fuzzy multiple attribute decision-making (FMADM) method in which the attribute weights and decision matrix elements (attribute values) are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method.

  3. Review Article: Multi-criteria decision making for flood risk management: a survey of the current state-of-the-art

    Science.gov (United States)

    de Brito, M. M.; Evers, M.

    2015-11-01

    This paper provides a review of Multi-Criteria Decision Making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. Totally, 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed and classified into the following application areas: (1) ranking of alternatives for flood mitigation, (2) reservoir flood control, (3) susceptibility, (4) hazard, (5) vulnerability, (6) risk, (7) coping capacity, and (8) emergency management. Additionally, the articles were categorized based on the publication year, MCDM method, whether they were or were not carried out in a participatory process, and if uncertainty and sensitivity analysis were performed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. The Analytical Hierarchy Process (AHP) was the most popular technique, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest on MCDM, uncertainty analysis remains an issue and is seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Based on the survey, some suggestions for further investigation are provided.

  4. Development of a multi-criteria tool to support decision-making process on decontamination of urban areas after a nuclear accident

    Energy Technology Data Exchange (ETDEWEB)

    Rochedo, Elaine R.R.; Luca, Christiano de [Instituto Militar de Engenharia, Pc. Gen. Tiburcio, 80, Praia Vermelha, Rio de Janeiro, 22290-270 RJ (Brazil); Silva, Diogo N.G. [Universidade Federal do Rio de Janeiro, Instituto de Biofisica Carlos Chagas Filho, Rio de Janeiro 21941-902 RJ (Brazil); Wasserman, Maria Angelica V. [Instituto de Engenharia Nuclear, Cidade Universitaria, Ilha do Fundao, 21941-906, Rio de Janeiro RJ (Brazil)

    2014-07-01

    This work describes the main efforts to derive criteria for classifying technical aspects related to decontamination procedures to feed a multi-criteria tool to support decisions on remediation of urban areas after nuclear accidents. After listing procedures already tested or used in previous accident, technical aspects to be considered were derived. The relevance of each aspect was determined based on questionnaires answered by experts with experience on remediation after an accident. The questionnaire included 12 aspects and for each of them one or more technical criteria where developed to allow the classification of remediation procedures for urban areas. The criteria described in this work relate to the effects of each procedure on doses to the public, doses to remediation workers, waste generation and infrastructure needed. The aim of this project was to increase public concerns by turning the decision making process more reliable and transparent. In this work, the list of criteria and associated values are described. This list is now being included in a previously developed dose assessment computer program to allow the optimization of actions to be used considering all justifiable procedures based on the current experience on dealing with urban areas contamination after a nuclear or radiological accident. (authors)

  5. An Analysis of Urban Land Development Using Multi-Criteria Decision Model and Geographical Information System (A Case Study of Babolsar City

    Directory of Open Access Journals (Sweden)

    Sedigheh Lotfi

    2009-01-01

    Full Text Available Problem Statement: The unplanned physical expansion of cities has been one of the most important problems of urban management in developing countries. Iran, like other developing world has experienced a high level of urbanization growth which transformed the physical fabric of urban areas. North of Iran is one of most rapid growing region of the country where the moderate climate and a tourism based economy encouraged many developers to investigate in housing sector. So, the primary outcome of such process was the out-growth of the city boundaries in the region. Approach: This research attempted to present an appropriate model for urban physical development. The study used different parameters such as environmental and socio-economic factors to provide a good understanding of the city behavior in its geographical setting. Through applying the Multi-Criteria Decision Model (MCDA and GIS, the most appropriate area introduced for near future development. Results: The results revealed that the integrated GIS and MCDA model has many potentials which allow the planner or user investigate the final decision for site selection for future urban physical development. Conclusion: Since the city is located in a fertile agricultural area where the general policy of the local government is to save the lands for strategic crops like rice, to select the right site for city development is quiet significant.

  6. Multi-criteria decision making based on Vague integral%基于Vague积分的多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    曹林林; 梁家荣

    2011-01-01

    Current decision making methods ignore the mutual-impact among the criteria, which causes the inconsistence with the reality. To overcome this drawback, a new approach of multi-criteria decision making based on Vague integral was given. The new approach used Vague measure to measure the importance of the criteria, and used Vague integral to obtain the overall evaluation of the alternative, and then got the optimal alternative based on the evaluation. Finally, a practical example was provided to illustrate the effectiveness and correctness of the new approach.%现有决策方法忽略了各准则之间的影响,使得决策结果不一定符合实际.为了克服现有决策方法的不足和缺陷.提出一种基于Vague积分的新决策方法.该方法用Vague测度对各准则的重要性加以衡量,再利用Vague积分作为聚合算子得出各方案的整体评价,然后根据评价得出最优方案.最后,通过实例阐明新决策方法的有效性和正确性.

  7. Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection.

    Science.gov (United States)

    Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik

    2016-01-01

    Landfill location selection is a multi-criteria decision problem and has a strategic importance for many regions. The conventional methods for landfill location selection are insufficient in dealing with the vague or imprecise nature of linguistic assessment. To resolve this problem, fuzzy multi-criteria decision-making methods are proposed. The aim of this paper is to use fuzzy TODIM (the acronym for Interactive and Multi-criteria Decision Making in Portuguese) and the fuzzy analytic hierarchy process (AHP) methods for the selection of landfill location. The proposed methods have been applied to a landfill location selection problem in the region of Casablanca, Morocco. After determining the criteria affecting the landfill location decisions, fuzzy TODIM and fuzzy AHP methods are applied to the problem and results are presented. The comparisons of these two methods are also discussed.

  8. Election of water resources management entity using a multi-criteria decision (MCD method in Salta province (Argentine

    Directory of Open Access Journals (Sweden)

    Juan B. Grau

    2009-08-01

    Full Text Available At present, the water resources are a strategic element, each time more necessary and limited becoming a source of conflicts. For that, it is fundamental to create an independent and competent entity with good reputation and social acceptation. This entity, must be able to obtain, store and process all data dispersed in different entities creating a network for these purposes. Finally, it must be able to organize different branches between the government and the final users. Using one of the well-known Multicriteria Decision Methods (MCDM with several realistic alternatives and several criteria identified in expert seminars in Salta and Madrid, we have obtained hopeful results and more recently, new modifications introduced have generated better results.

  9. 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.

  10. A Subjective Assessment of Alternative Mission Architecture Operations Concepts for the Human Exploration of Mars at NASA Using a Three-Dimensional Multi-Criteria Decision Making Model

    Science.gov (United States)

    Tavana, Madjid

    2003-01-01

    The primary driver for developing missions to send humans to other planets is to generate significant scientific return. NASA plans human planetary explorations with an acceptable level of risk consistent with other manned operations. Space exploration risks can not be completely eliminated. Therefore, an acceptable level of cost, technical, safety, schedule, and political risks and benefits must be established for exploratory missions. This study uses a three-dimensional multi-criteria decision making model to identify the risks and benefits associated with three alternative mission architecture operations concepts for the human exploration of Mars identified by the Mission Operations Directorate at Johnson Space Center. The three alternatives considered in this study include split, combo lander, and dual scenarios. The model considers the seven phases of the mission including: 1) Earth Vicinity/Departure; 2) Mars Transfer; 3) Mars Arrival; 4) Planetary Surface; 5) Mars Vicinity/Departure; 6) Earth Transfer; and 7) Earth Arrival. Analytic Hierarchy Process (AHP) and subjective probability estimation are used to captures the experts belief concerning the risks and benefits of the three alternative scenarios through a series of sequential, rational, and analytical processes.

  11. Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques

    Science.gov (United States)

    Jha, Madan K.; Chowdary, V. M.; Chowdhury, Alivia

    2010-11-01

    An approach is presented for the evaluation of groundwater potential using remote sensing, geographic information system, geoelectrical, and multi-criteria decision analysis techniques. The approach divides the available hydrologic and hydrogeologic data into two groups, exogenous (hydrologic) and endogenous (subsurface). A case study in Salboni Block, West Bengal (India), uses six thematic layers of exogenous parameters and four thematic layers of endogenous parameters. These thematic layers and their features were assigned suitable weights which were normalized by analytic hierarchy process and eigenvector techniques. The layers were then integrated using ArcGIS software to generate two groundwater potential maps. The hydrologic parameters-based groundwater potential zone map indicated that the `good' groundwater potential zone covers 27.14% of the area, the `moderate' zone 45.33%, and the `poor' zone 27.53%. A comparison of this map with the groundwater potential map based on subsurface parameters revealed that the hydrologic parameters-based map accurately delineates groundwater potential zones in about 59% of the area, and hence it is dependable to a certain extent. More than 80% of the study area has moderate-to-poor groundwater potential, which necessitates efficient groundwater management for long-term water security. Overall, the integrated technique is useful for the assessment of groundwater resources at a basin or sub-basin scale.

  12. A case-based method for multi-criteria decision making problems%一种基于案例的多准则排序方法

    Institute of Scientific and Technical Information of China (English)

    熊文涛; 余胜平

    2014-01-01

    For the multi-criteria decision making problems with indirect preference information, a method for ranking is proposed by using the additive utility function theory. In this approach, a simple optimization model is constructed, and the utility of evaluation values are obtained, which are compatible with indirect preference information. The utility of remaining evaluation values are calculated by using linear interpolation idea. Furthermore, the overall utility and ranking of all alternatives are obtained. Finally, an example is given to illustrate the effectiveness and feasibility of the proposed method.%针对带有间接偏好信息的多准则决策问题,首先利用加性效用函数理论提出一种排序方法,该方法通过构建一个简单的优化模型,得到与间接偏好信息相容的各评价值的效用;然后,利用线性插值方法计算出剩下方案各评价值的效用,进而得到所有方案的综合效用及排序;最后,通过实例验证了该方法的有效性和可行性。

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

    Science.gov (United States)

    Akinlalu, A. A.; Adegbuyiro, A.; Adiat, K. A. N.; Akeredolu, B. E.; Lateef, W. Y.

    2017-06-01

    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.

  14. 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.

  15. A Spatially Explicit, Multi-Criteria Decision Support Model for Loggerhead Sea Turtle Nesting Habitat Suitability: A Remote Sensing-Based Approach

    Directory of Open Access Journals (Sweden)

    Lauren Dunkin

    2016-07-01

    Full Text Available Nesting habitat for the federally endangered loggerhead sea turtle (Caretta caretta were designated as critical in 2014 for beaches along the Atlantic Coast and Gulf of Mexico. Nesting suitability is routinely determined based on site specific information. Given the expansive geographic location of the designated critical C. caretta nesting habitat and the highly dynamic coastal environment, understanding nesting suitability on a regional scale is essential for monitoring the changing status of the coast as a result of hydrodynamic forces and maintenance efforts. The increasing spatial resolution and temporal frequency of remote sensing data offers the opportunity to study this dynamic environment on a regional scale. Remote sensing data were used as input into the spatially-explicit, multi-criteria decision support model to determine nesting habitat suitability. Results from the study indicate that the morphological parameters used as input into the model are well suited to provide a regional level approach with the results from the optimized model having sensitivity and detection prevalence values greater than 80% and the detection rate being greater than 70%. The approach can be implemented in various geographic locations to better communicate priorities and evaluate management strategies as a result of changes to the dynamic coastal environment.

  16. Integrated micro-economic modelling and multi-criteria methodology to support public decision-making: the case of liquid bio-fuels in France

    Energy Technology Data Exchange (ETDEWEB)

    Rozakis, S.; Sourie, J.-C. [Institut National de la Recherche Agronomique, Economie et Sociologie Rurales, Thiveral-Grignon, 78 (France); Vanderpooten, D. [Universite Paris-Dauphine, LAMSADE, Paris, 75 (France)

    2001-07-01

    Decision making to determine government support policy for agro-energy industry can be assisted by mathematical programming and Multiple Criteria procedures. In this case study, tax credit policy in the French bio-fuel industry producing ethanol and esters is determined. Micro-economic models simulate the agricultural sector and the bio-fuel industry through multi-level mixed integer linear programming. Aggregate supply of energy crops at the national level is estimated using a staircase model of 450 individual farm sub-models specialising in arable cropping. The government acts as a leader, since bio-fuel chains depend on subsidies. The model provides rational responses of the industry, taking into account of the energy crops' supply, to any public policy scheme (unitary tax exemptions for bio-fuels subject to budgetary constraints) as well as the performance of each response regarding total greenhouse gases emissions (GHG), budgetary expenditure and agents' surpluses. Budgetary, environmental and social concerns will affect policy decisions, and a multi-criteria optimisation module projects the decision maker aims at the closest feasible compromise solutions. When public expenditure is the first priority, the best compromise solution corresponds to tax exemptions of about 2 FF l{sup -1} [FF: French Franc (1Euro equivalent to 6.559FF)] for ester and 3FF l{sup -1} for ethanol (current tax exemptions amount at 2.30FF l{sup -1} for ester and 3.30FF l{sup -1} for ethanol). On the other hand, a priority on the reduction of GHG emissions requires an increase of ester volume produced at the expense of ethanol production (2.30 FF l{sup -1} for both ester and ethanol chains proposed by the model). (Author)

  17. Assessing the vulnerability of human and biological communities to changing ecosystem services using a GIS-based multi-criteria decision support tool

    Science.gov (United States)

    Villarreal, Miguel; Norman, Laura M.; Labiosa, William B.

    2012-01-01

    In this paper we describe an application of a GIS-based multi-criteria decision support web tool that models and evaluates relative changes in ecosystem services to policy and land management decisions. The Santa Cruz Watershed Ecosystem Portfolio (SCWEPM) was designed to provide credible forecasts of responses to ecosystem drivers and stressors and to illustrate the role of land use decisions on spatial and temporal distributions of ecosystem services within a binational (U.S. and Mexico) watershed. We present two SCWEPM sub-models that when analyzed together address bidirectional relationships between social and ecological vulnerability and ecosystem services. The first model employs the Modified Socio-Environmental Vulnerability Index (M-SEVI), which assesses community vulnerability using information from U.S. and Mexico censuses on education, access to resources, migratory status, housing situation, and number of dependents. The second, relating land cover change to biodiversity (provisioning services), models changes in the distribution of terrestrial vertebrate habitat based on multitemporal vegetation and land cover maps, wildlife habitat relationships, and changes in land use/land cover patterns. When assessed concurrently, the models exposed some unexpected relationships between vulnerable communities and ecosystem services provisioning. For instance, the most species-rich habitat type in the watershed, Desert Riparian Forest, increased over time in areas occupied by the most vulnerable populations and declined in areas with less vulnerable populations. This type of information can be used to identify ecological conservation and restoration targets that enhance the livelihoods of people in vulnerable communities and promote biodiversity and ecosystem health.

  18. FUZZY DECISION MAKING MODEL FOR BYZANTINE AGREEMENT

    Directory of Open Access Journals (Sweden)

    S. MURUGAN

    2014-04-01

    Full Text Available Byzantine fault tolerance is of high importance in the distributed computing environment where malicious attacks and software errors are common. A Byzantine process sends arbitrary messages to every other process. An effective fuzzy decision making approach is proposed to eliminate the Byzantine behaviour of the services in the distributed environment. It is proposed to derive a fuzzy decision set in which the alternatives are ranked with grade of membership and based on that an appropriate decision can be arrived on the messages sent by the different services. A balanced decision is to be taken from the messages received across the services. To accomplish this, Hurwicz criterion is used to balance the optimistic and pessimistic views of the decision makers on different services. Grades of membership for the services are assessed using the non-functional Quality of Service parameters and have been estimated using fuzzy entropy measure which logically ranks the participant services. This approach for decision making is tested by varying the number of processes, varying the number of faulty services, varying the message values sent to different services and considering the variation in the views of the decision makers about the services. The experimental result shows that the decision reached is an enhanced one and in case of conflict, the proposed approach provides a concrete result, whereas decision taken using the Lamport’s algorithm is an arbitrary one.

  19. Monitoring Natural World Heritage Sites: optimization of the monitoring system in Bogda with GIS-based multi-criteria decision analysis.

    Science.gov (United States)

    Wang, Zhaoguo; Du, Xishihui

    2016-07-01

    Natural World Heritage Sites (NWHSs) are invaluable treasure due to the uniqueness of each site. Proper monitoring and management can guarantee their protection from multiple threats. In this study, geographic information system (GIS)-based multi-criteria decision analysis (GIS-MCDA) was used to assess criteria layers acquired from the data available in the literature. A conceptual model for determining the priority area for monitoring in Bogda, China, was created based on outstanding universal values (OUV) and expert knowledge. Weights were assigned to each layer using the analytic hierarchy process (AHP) based on group decisions, encompassing three experts: one being a heritage site expert, another a forest ranger, and the other a heritage site manager. Subsequently, evaluation layers and constraint layers were used to generate a priority map and to determine the feasibility of monitoring in Bogda. Finally, a monitoring suitability map of Bogda was obtained by referencing priority and feasibility maps.The high-priority monitoring area is located in the montane forest belt, which exhibits high biodiversity and is the main tourist area of Bogda. The northern buffer zone of Bogda comprises the concentrated feasible monitoring areas, and the area closest to roads and monitoring facilities is highly feasible for NWHS monitoring. The suitability of an area in terms of monitoring is largely determined by the monitoring priority in that particular area. The majority of planned monitoring facilities are well distributed in both suitable and less suitable areas. Analysis results indicate that the protection of Bogda will be more scientifically based due to its effective and all-around planned monitoring system proposed by the declaration text of Xinjiang Tianshan, which is the essential file submitted to World Heritage Centre to inscribe as a NWHS.

  20. The prioritisation of invasive alien plant control projects using a multi-criteria decision model informed by stakeholder input and spatial data.

    Science.gov (United States)

    Forsyth, G G; Le Maitre, D C; O'Farrell, P J; van Wilgen, B W

    2012-07-30

    Invasions by alien plants are a significant threat to the biodiversity and functioning of ecosystems and the services they provide. The South African Working for Water program was established to address this problem. It needs to formulate objective and transparent priorities for clearing in the face of multiple and sometimes conflicting demands. This study used the analytic hierarchy process (a multi-criteria decision support technique) to develop and rank criteria for prioritising alien plant control operations in the Western Cape, South Africa. Stakeholder workshops were held to identify a goal and criteria and to conduct pair-wise comparisons to weight the criteria with respect to invasive alien plant control. The combination of stakeholder input (to develop decision models) with data-driven model solutions enabled us to include many alternatives (water catchments), that would otherwise not have been feasible. The most important criteria included the capacity to maintain gains made through control operations, the potential to enhance water resources and conserve biodiversity, and threats from priority invasive alien plant species. We selected spatial datasets and used them to generate weights that could be used to objectively compare alternatives with respect to agreed criteria. The analysis showed that there are many high priority catchments which are not receiving any funding and low priority catchments which are receiving substantial allocations. Clearly, there is a need for realigning priorities, including directing sufficient funds to the highest priority catchments to provide effective control. This approach provided a tractable, consensus-based solution that can be used to direct clearing operations.

  1. 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.

  2. Integrating the Ergonomics Techniques with Multi Criteria Decision Making as a New Approach for Risk Management: An Assessment of Repetitive Tasks -Entropy Case Study.

    Science.gov (United States)

    Khandan, Mohammad; Nili, Majid; Koohpaei, Alireza; Mosaferchi, Saeedeh

    2016-01-01

    Nowadays, the health work decision makers need to analyze a huge amount of data and consider many conflicting evaluation criteria and sub-criteria. Therefore, an ergonomic evaluation in the work environment in order to the control occupational disorders is considered as the Multi Criteria Decision Making (MCDM) problem. In this study, the ergonomic risks factors, which may influence health, were evaluated in a manufacturing company in 2014. Then entropy method was applied to prioritize the different risk factors. This study was done with a descriptive-analytical approach and 13 tasks were included from total number of employees who were working in the seven halls of an ark opal manufacturing (240). Required information was gathered by the demographic questionnaire and Assessment of Repetitive Tasks (ART) method for repetitive task assessment. In addition, entropy was used to prioritize the risk factors based on the ergonomic control needs. The total exposure score based on the ART method calculated was equal to 30.07 ±12.43. Data analysis illustrated that 179 cases (74.6% of tasks) were in the high level of risk area and 13.8% were in the medium level of risk. ART- entropy results revealed that based on the weighted factors, higher value belongs to grip factor and the lowest value was related to neck and hand posture and duration. Based on the limited financial resources, it seems that MCDM in many challenging situations such as control procedures and priority approaches could be used successfully. Other MCDM methods for evaluating and prioritizing the ergonomic problems are recommended.

  3. MCSDSS: A Multi-Criteria Decision Support System for Merging Geoscience Information with Natural User Interfaces, Preference Ranking, and Interactive Data Utilities

    Science.gov (United States)

    Pierce, S. A.; Gentle, J.

    2015-12-01

    The multi-criteria decision support system (MCSDSS) is a newly completed application for touch-enabled group decision support that uses D3 data visualization tools, a geojson conversion utility that we developed, and Paralelex to create an interactive tool. The MCSDSS is a prototype system intended to demonstrate the potential capabilities of a single page application (SPA) running atop a web and cloud based architecture utilizing open source technologies. The application is implemented on current web standards while supporting human interface design that targets both traditional mouse/keyboard interactions and modern touch/gesture enabled interactions. The technology stack for MCSDSS was selected with the goal of creating a robust and dynamic modular codebase that can be adjusted to fit many use cases and scale to support usage loads that range between simple data display to complex scientific simulation-based modelling and analytics. The application integrates current frameworks for highly performant agile development with unit testing, statistical analysis, data visualization, mapping technologies, geographic data manipulation, and cloud infrastructure while retaining support for traditional HTML5/CSS3 web standards. The software lifecylcle for MCSDSS has following best practices to develop, share, and document the codebase and application. Code is documented and shared via an online repository with the option for programmers to see, contribute, or fork the codebase. Example data files and tutorial documentation have been shared with clear descriptions and data object identifiers. And the metadata about the application has been incorporated into an OntoSoft entry to ensure that MCSDSS is searchable and clearly described. MCSDSS is a flexible platform that allows for data fusion and inclusion of large datasets in an interactive front-end application capable of connecting with other science-based applications and advanced computing resources. In addition, MCSDSS

  4. 一类灰色随机多准则群决策方法%A Glass of Grey Stochastic Multi-criteria Group Decision-Making Approach

    Institute of Scientific and Technical Information of China (English)

    胡振华; 杜妮

    2011-01-01

    For grey stochastic multi-criteria group decision-making problem, in which criteria value is discrete grey stochastic variable with interval grey number probability and weight is unknown,one decision-making approach based on deviation function is given. In this approach, the weight of decision-makers was determined by calculating the deviation of each decision-maker's subjective and objective judgment matrix, and programming model was established based on the thought of minimizing the deviation of the subjective and objective judgment matrix. By solving it, both the weight vector of criteria and the weight vector of decision-makers can be obtained. By the weight information one ranking of the alternatives based on subjective evaluation information and the other ranking of the alternatives based on objective evaluation information were calculated, and the final ranking of the alternatives was obtained by combination of these two ranking information. Finally, the feasibility and validity of this approach are demonstrated by an example.%针对准则值为区间灰数概率的离散型灰色随机变量且准则权重和决策者权重都完全未知的灰色随机多准则群决策问题,提出了一种基于偏差函数的决策方法.该方法通过计算每个决策者的主观判断矩阵与客观判断矩阵之间的偏差来确定该决策者的权重,基于主客观判断矩阵偏差最小化思想建立规划模型,求解该规划模型可同时得出准则权重向量和决策者权重向量,通过所求得的权重信息,分别得出在主、客观评价信息下的方案排序,综合这两种排序信息得出方案的最终排序.最后应用算例说明了该方法的合理性和有效性.

  5. Integrating Spatial Multi Criteria Decision Making (SMCDM) with Geographic Information Systems (GIS) for delineation of the most suitable areas for aquifer storage and recovery (ASR)

    Science.gov (United States)

    Ahani Amineh, Zainab Banoo; Hashemian, Seyyed Jamal Al-Din; Magholi, Alireza

    2017-08-01

    Hamoon-Jazmoorian plain is located in southeast of Iran. Overexploitation of groundwater in this plain has led to water level decline and caused serious problems such as land subsidence, aquifer destruction and water quality degradation. The increasing population and agricultural development along with drought and climate change, have further increased the pressure on water resources in this region over the last years. In order to overcome such crisis, introduction of surface water into an aquifer at particular locations can be a suitable solution. A wide variety of methods have been developed to recharge groundwater, one of which is aquifer storage and recovery (ASR). One of the fundamental principles of making such systems is delineation of suitable areas based on scientific and natural facts in order to achieve relevant objectives. To that end, the Multi Criteria Decision Making (MCDM) in conjunction with the Geographic Information Systems (GIS) was applied in this study. More specifically, nine main parameters including depth of runoff as the considered source of water, morphology of the earth surface features such as geology, geomorphology, land use and land cover, drainage and aquifer characteristics along with quality of water in the aquifer were considered as the main layers in GIS. The runoff water available for artificial recharge in the basin was estimated through Soil Conservation Service (SCS) curve number method. The weighted curve number for each watershed was derived through spatial intersection of land use and hydrological soil group layers. Other thematic layers were extracted from satellite images, topographical map, and other collateral data sources, then weighed according to their influence in locating process. The Analytical Hierarchy Process (AHP) method was then used to calculate weights of individual parameters. The normalized weighted layers were then overlaid to build up the recharge potential map. The results revealed that 34% of the

  6. Fuzzy statistical decision-making theory and applications

    CERN Document Server

    Kabak, Özgür

    2016-01-01

    This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimu...

  7. Multi-criteria power and energy shortage allocation in power systems

    Energy Technology Data Exchange (ETDEWEB)

    Eke, Petr Ya.; Popov, Vladimir A.; Junges, Marcio F.D.; Moraes, Marcos A. de [Santa Maria Univ., RS (Brazil). Programa de Pos-graduacao em Engenharia Eletrica; Prakhovnik, Arthur V.; Razumovsky, Oleg V. [National Technichal Univ. (KPI), Kiev (Ukraine).Research Inst. of Automation and Energetics

    1997-12-31

    The problems of power and energy shortage (natural or associated with the efficiency of load management) allocation are formulated as multi criteria optimization problems to consider and to minimize diverse negative consequences of limiting consumers. Their solution is based on the Bellman-Zadeh approach to decision making in a fuzzy environment. The advantages and capacities opened by its application are discussed. The results realized as an adaptive interactive decision making system which can be used in allocating diverse types of resources or their shortages. (author) 19 refs., 3 tabs.; e-mail: ekel at super.ufsm.br

  8. Discussion about decision support systems using continuous multi-criteria methods for planning in areas with hydro-basins, agriculture and forests, from examples in Argentine.

    Science.gov (United States)

    Anton, J. M.; Grau, J. B.; Tarquis, A. M.; Andina, D.; Cisneros, J. M.; Sanchez, E.

    2012-04-01

    The authors were involved last years in projects considering diverse decision problems on the use of some regions in Argentine, and also related to rivers or rural services in them. They used sets of multi-criteria decision methods, first discrete when the problem included few distinct alternatives, such as e.g. forestry, traditional or intensive agriculture. For attributes they were different effects, classified then in environmental, economic and social criteria. Extending to other gentler areas, such as at South of the Province of Córdoba, Arg., they have balanced more delicately effects of continuous levels of actions, with a combination of Goal Programming linked methods, and they adopted compromises to have precise solutions. That has shown, and in part open, a line of research, as the setting of such models require various kinds of definitions and valuations, including optimizations, goals with penalties in deviations and restrictions. That can be in diverse detail level and horizon, in presence of various technical and human horizons, and that can influence politics of use of terrain and production that will require public and private agents. The research will consider consideration of use and conservation of soils, human systems and agro productions, and hence models for optimization, preferably in such Goal Programming ways. That will require considering various systems of models, first in theory to be reliable, and then in different areas to evaluate the quality of conclusions, and maybe that successively if results are found advantageous. The Bayesian ways will be considered, but they would require a prospective of sets of precise future states of nature or markets with elicited probabilities, which are neither evident nor decisive for the moment, as changes may occur in years but will be very unexpected or uncertain. The results will be lines of models to aid to establish policies of use of territories, by public agencies setting frames for private

  9. 基于多目标灰色决策的地空导弹选型研究%Research on Surface to Air Missile Type Selection Based on Multi-criteria Gray Decision-making

    Institute of Scientific and Technical Information of China (English)

    崔建鹏; 辛永平; 刘肖健

    2012-01-01

    Aiming at the type selection of surface to air missile and synthetically considering the cost and holistic efficiency,the model of multi-criteria gray decision-making for the type selection of surface to air missile is established using the multi-criteria gray decision-making method of gray system theory.The model is analyzed and calculated,and then the optimal decision is worked out.The example can prove that the method of multi-criteria gray decision-making is a reasonable and feasible method,it can be used as a quantitative analysis means to the type selection of surface to air missile.%针对地空导弹选型这一问题,综合考虑地空导弹武器系统的成本及整体效能,运用灰色系统理论中的多目标灰色决策方法建立了地空导弹武器系统选型的多目标灰色决策模型。对此模型进行分析和计算,并做出了最优决策。通过实例分析,证明这是一种合理、可行的分析方法,为地空导弹选型研究提供了一种定量分析的依据。

  10. A Simplified Description of Fuzzy TOPSIS

    CERN Document Server

    Sodhi, Balwinder

    2012-01-01

    A simplified description of Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) is presented. We have adapted the TOPSIS description from existing Fuzzy theory literature and distilled the bare minimum concepts required for understanding and applying TOPSIS. An example has been worked out to illustrate the application of TOPSIS for a multi-criteria group decision making scenario.

  11. Hesitant fuzzy methods for multiple criteria decision analysis

    CERN Document Server

    Zhang, Xiaolu

    2017-01-01

    The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book ...

  12. Hybird Fuzzy Decision Making Framework for Environmental Impact Assessment, Tangier, Morocco

    Directory of Open Access Journals (Sweden)

    Kaoutar BENNIS

    2015-02-01

    Full Text Available The purpose of this paper is to implement a methodology based on stakeholder’s judgment with assistance of fuzzy Multi-Criteria Decision Analysis (MCDA methods to assess the environmental impact. Fuzzy Analytic Hierarchy Process (FAHP is used as a multi-level decision-making tool taking into consideration human evaluation; it captures the vagueness in ordinal judgments obtained from stakeholder’s filled questionnaires and translates them into priorities which are not vague. Fuzzy ELECTRE III, known as the elimination and choice translating reality method is employed to opt for a solution to mitigate the assessed impacts. Soil, underground, surface water, underground water, air, aquatic ecology, terrestrial ecology, public health, view, economy are the ten sub-criteria used in environmental impact assessment, they are subject to the appreciations of six stakeholders groups which represent the main decision makers (DM: neighbors, enterprises, keys actors, state departments, medias and research institutions. The set of alternatives comprises the creation of a new landfill site, creation of a new ringroad, installation of a recycling unit, installation of a lixiviat unit, installation of a biogas unit and soil stabilization. The use of combined Stakeholder's analysis, Fuzzy AHP and Fuzzy ELECTRE III are the distinguishing features of this paper, they form an integrated decision aiding framework that constitutes its novelty. It is applied on the linguistic judgments values to assess the environmental impact. This work proposes an integrated decision-making approach applied in the case study of the urban waste landfill of Tangier city in north Morocco.

  13. Decision and game theory in management with intuitionistic fuzzy sets

    CERN Document Server

    Li, Deng-Feng

    2014-01-01

    The focus of this book is on establishing theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets. It proposes a series of innovative theories, models and methods such as the representation theorem and extension principle of intuitionistic fuzzy sets, ranking methods of intuitionistic fuzzy numbers, non-linear and linear programming methods for intuitionistic fuzzy multi-attribute decision making and (interval-valued) intuitionistic fuzzy matrix games. These theories and methods form the theory system of intuitionistic fuzzy decision making and games, which is not only remarkably different from those of the traditional, Bayes and/or fuzzy decision theory but can also provide an effective and efficient tool for solving complex management problems. Since there is a certain degree of inherent hesitancy in real-life management, which cannot always be described by the traditional mathematical methods and/or fuzzy set theory, this book offers an effective approach to us...

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

    Directory of Open Access Journals (Sweden)

    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.

  15. Equipment Selection by using Fuzzy TOPSIS Method

    Science.gov (United States)

    Yavuz, Mahmut

    2016-10-01

    In this study, Fuzzy TOPSIS method was performed for the selection of open pit truck and the optimal solution of the problem was investigated. Data from Turkish Coal Enterprises was used in the application of the method. This paper explains the Fuzzy TOPSIS approaches with group decision-making application in an open pit coal mine in Turkey. An algorithm of the multi-person multi-criteria decision making with fuzzy set approach was applied an equipment selection problem. It was found that Fuzzy TOPSIS with a group decision making is a method that may help decision-makers in solving different decision-making problems in mining.

  16. The Analytic Network Process for the Pharmaceutical Sector: Multi Criteria Decision Making to Select the Suitable Method for the Preparation of Nanoparticles

    Directory of Open Access Journals (Sweden)

    Ramaiyan Velmurugan

    2012-10-01

    Full Text Available Background:This paper presents the methodology for assessing and selecting the most appropriate procedure for the preparation of nanoparticles by implementing the analytical network process. The commonly utilized nanoparticle preparation methods are Polymer Precipitation,Interfacial polymer deposition, Complex Coacervation, Cross linking, Emulsion solvent diffusion, Homogenization and Polymerization method. There are numerous parameters to beconsidered in groundwork of nanoparticles that departs the conclusion manufacturer in bias.One has to address a number of components in alignment to determine and choose the optimum conclusion choices, because an unsuitable conclusion could lead to the eventual merchandise having to be formulated and developed again. For this cause in this paper, we study selecting the most appropriate procedure for the preparation of nanoparticles utilizingone of the multi criteria-decision making techniques, Analytic Network Process.Methodology:The main goal was determined. The criteria and sub-criteria that affect the main goal were determined. The alternatives for the problem were determined. The interactions betweencriteria, sub-criteria, and alternatives respect to the main goal were determined. The super matrixes according to the network were assembled and then weighted super matrix and limit super matrix were then constructed. The values of this limit matrix are the desired priorities of the elements with respect to the goal. The alterative with the highest priority was finally chosen as the best alternative.Results:The emulsion solvent diffusion technique (M-5 has the highest value (0.434379 among the alternative methods that are applicable to the preparation of the nanoparticles. The secondhighest is Polymer Precipitation (M-1 with a value of 0.178798, and the lowest value or last choice is Cross Linking (M-4 with a value of only 0.024516. The alternative with the highest priority would achieve the goal, i.e., the

  17. The analytic network process for the pharmaceutical sector: Multi criteria decision making to select the suitable method for the preparation of nanoparticles

    Directory of Open Access Journals (Sweden)

    Velmurugan Ramaiyan

    2012-10-01

    Full Text Available Abstract Background This paper presents the methodology for assessing and selecting the most appropriate procedure for the preparation of nanoparticles by implementing the analytical network process. The commonly utilized nanoparticle preparation methods are Polymer Precipitation, Interfacial polymer deposition, Complex Coacervation, Cross linking, Emulsion solvent diffusion, Homogenization and Polymerization method. There are numerous parameters to be considered in groundwork of nanoparticles that departs the conclusion manufacturer in bias. One has to address a number of components in alignment to determine and choose the optimum conclusion choices, because an unsuitable conclusion could lead to the eventual merchandise having to be formulated and developed again. For this cause in this paper, we study selecting the most appropriate procedure for the preparation of nanoparticles utilizing one of the multi criteria-decision making techniques, Analytic Network Process. Methodology The main goal was determined. The criteria and sub-criteria that affect the main goal were determined. The alternatives for the problem were determined. The interactions between criteria, sub-criteria, and alternatives respect to the main goal were determined. The super matrixes according to the network were assembled and then weighted super matrix and limit super matrix were then constructed. The values of this limit matrix are the desired priorities of the elements with respect to the goal. The alterative with the highest priority was finally chosen as the best alternative. Results The emulsion solvent diffusion technique (M-5 has the highest value (0.434379 among the alternative methods that are applicable to the preparation of the nanoparticles. The second highest is Polymer Precipitation (M-1 with a value of 0.178798, and the lowest value or last choice is Cross Linking (M-4 with a value of only 0.024516. The alternative with the highest priority would achieve the

  18. Multi criteria analysis in the renewable energy industry

    CERN Document Server

    San Cristóbal Mateo, José Ramón

    2012-01-01

    Decision makers in the Renewable Energy sector face an increasingly complex social, economic, technological, and environmental scenario in their decision process. Different groups of decision-makers become involved in the process, each group bringing along different criteria therefore, policy formulation for fossil fuel substitution by Renewable Energies must be addressed in a multi-criteria context. Multi Criteria Analysis in the Renewable Energy Industry is a direct response to the increasing interest in the Renewable Energy industry which can be seen as an important remedy to many environmental problems that the world faces today. The multiplicity of criteria and the increasingly complex social, economic, technological, and environmental scenario makes multi-criteria analysis a valuable tool in the decision-making process for fossil fuel substitution. The detailed chapters explore the use of the Multi-criteria decision-making methods and how they provide valuable assistance in reaching equitable and accept...

  19. An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

    OpenAIRE

    A. Yousefli; M. Ghazanfari; M. B. Abiri

    2014-01-01

    In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE). This framework aids decision makers to understand different circumstances of an uncertain problem that may occur in the future. Also, to keep decision maker from the optimization problem complexities, a decision support system, which can be replaced by optimization problem, is presented to make optimum or near optimum decisions without ...

  20. 基于扩展灰数Hausdorff距离的随机多准则决策方法%Stochastic multi-criteria decision-making method based on Hausdorff distance of extended grey numbers

    Institute of Scientific and Technical Information of China (English)

    王坚强; 王丹丹

    2014-01-01

    针对准则值为扩展灰数形式的风险型多准则决策问题,提出一种基于扩展灰数Hausdorff距离的随机多准则决策方法。首先定义了离散型扩展灰色随机变量及期望值和标准差,并在Hausdorff距离的基础上提出了扩展灰数的Hausdorff距离公式;然后计算每个方案在各准则下的期望值,得到期望值决策矩阵;再根据传统TOPSIS方法的思想,提出一种基于TOPSIS的灰色随机多准则决策方法。最后,通过实例验证了所提出方法的合理性和可行性。%For the risk multi-criteria decision-making problems in which the criteria value of alternatives are in the form of extended grey numbers, a grey stochastic multi-criteria decision-making approach is proposed based on the Hausdorff distance of extended grey numbers. Firstly, the discrete extended grey random variable as well as its expected value and standard deviation are defined. Then, motivated by the idea of the Hausdorff distance, the Hausdorff distance of extended grey numbers is defined. The expected value of each alternative under every criterion is calculated, and then the expected valued decision matrix is obtained. After that, a TOPSIS-based grey stochastic multi-criteria decision-making approach is built according to the idea of traditional TOPSIS method. Finally, an example is given to verify the effectiveness and feasibility of the developed approach.

  1. 基于相对优势度的直觉模糊多属性决策方法%Multi-attribute Fuzzy Decision-making Method with Intuitionistic Fuzzy Sets Based on Relative Superiority

    Institute of Scientific and Technical Information of China (English)

    王中兴; 唐芝兰; 邵翠丽

    2012-01-01

    The concept of relative superiority of interval numbers was extended to intuitionistic fuzzy numbers. The fuzzy complementary judgment matrix was given, and then a ranking method of intuitionistic fuzzy numbers was presented.based on the relative superiority matrix for the binary comparison of intuitionistic fuzzy numbers. In the following stage, this method was applied to multi-attribute fuzzy decision-making with intuitionistic fuzzy numbers, and a multi-criteria fuzzy decision-making method with intuitionistic fuzzy sets was given based on relative superiority.%把区间数的相对优势度概念推广到直觉模糊数,再根据直觉模糊数两两比较的相对优势度构建模糊互补判断矩阵,提出一种直觉模糊数的排序方法,并将此排序方法应用到直觉模糊多属性决策中,得到一种基于相对优势度的直觉模糊数多属性决策方法.

  2. Scheme selection of aircraft top-layer design based on multi-criteria decision-making approach%基于多准则决策的作战飞机顶层方案优选

    Institute of Scientific and Technical Information of China (English)

    赵锁珠; 李军

    2012-01-01

    提出了综合应用灰色关联投影法、加权求和法、加权求积法和基于理想点决策法来实现对无人作战飞机顶层方案的优选,并着重介绍了多准则决策方法及实施过程.该方法采用不同的公度化方法处理相应的评价指标,对多目标、多层次指标体系进行赋权,利用权重将评价指标联系在一起,并将四种准则决策法进行综合,依据决策者的偏好,最终实现顶层方案的优选.最后,通过制空无人作战飞机顶层方案优选的例子,证实了所提方法是可行且有效的.%In this paper, a multi-criteria decision-making method which combines the grey relation projection method,weighted summation method, weighted product method and ideal point decision making reasonable for unmanned combat aerial vehicle top-layer scheme selection is presented, and how to use the integrated method is introduced. The developed method can deal with evaluation index by different normalized method, to obtain the weights of the evaluation indexes which involve multi-criteria and multi-layers, and the evaluation indices are contacted by the various weights. The best scheme can be found by applying the multi-criteria decision-making approach which combines four multi-criteria decision-making approaches by decision preferences. Finally, the effectiveness and feasibility of the method are validated by using an example of unmanned combat aerial vehicle ( UCAV) top-layer scheme selection.

  3. Water supply management using an extended group fuzzy decision-making method: a case study in north-eastern Iran

    Science.gov (United States)

    Minatour, Yasser; Bonakdari, Hossein; Zarghami, Mahdi; Bakhshi, Maryam Ali

    2015-09-01

    The purpose of this study was to develop a group fuzzy multi-criteria decision-making method to be applied in rating problems associated with water resources management. Thus, here Chen's group fuzzy TOPSIS method extended by a difference technique to handle uncertainties of applying a group decision making. Then, the extended group fuzzy TOPSIS method combined with a consistency check. In the presented method, initially linguistic judgments are being surveyed via a consistency checking process, and afterward these judgments are being used in the extended Chen's fuzzy TOPSIS method. Here, each expert's opinion is turned to accurate mathematical numbers and, then, to apply uncertainties, the opinions of group are turned to fuzzy numbers using three mathematical operators. The proposed method is applied to select the optimal strategy for the rural water supply of Nohoor village in north-eastern Iran, as a case study and illustrated example. Sensitivity analyses test over results and comparing results with project reality showed that proposed method offered good results for water resources projects.

  4. Rough Set Approach to Approximation Reduction in Ordered Decision Table with Fuzzy Decision

    Directory of Open Access Journals (Sweden)

    Xiaoyan Zhang

    2011-01-01

    Full Text Available In practice, some of information systems are based on dominance relations, and values of decision attribute are fuzzy. So, it is meaningful to study attribute reductions in ordered decision tables with fuzzy decision. In this paper, upper and lower approximation reductions are proposed in this kind of complicated decision table, respectively. Some important properties are discussed. The judgement theorems and discernibility matrices associated with two reductions are obtained from which the theory of attribute reductions is provided in ordered decision tables with fuzzy decision. Moreover, rough set approach to upper and lower approximation reductions is presented in ordered decision tables with fuzzy decision as well. An example illustrates the validity of the approach, and results show that it is an efficient tool for knowledge discovery in ordered decision tables with fuzzy decision.

  5. Fuzzy decision approach for selection of most suitable construction method of Green Buildings

    Directory of Open Access Journals (Sweden)

    Sunita Bansal

    2017-06-01

    Full Text Available A big challenge in sustainable projects is selection of appropriate construction method and is considered to be the decisive factor for its success. Many environment friendly prefabricated elements are entering into the market at an increasing pace. This has increased the workload and inquisitiveness of the stakeholders who will need information about their environmental, technical and esthetic aspects. The use of prefabrication in sustainable construction is advantageous but appropriate decision criteria and their weightage for applicability assessments for a project from every stakeholder’s perspective is found to be deficient. Decisions to use prefabricated elements are still largely based on anecdotal evidence or cost-based evaluation rather than holistic sustainable performance. But authenticated information is seldom available and suitability within the project requirements is always debatable. Environmental decisions, being closely coupled with society’s built-in uncertainties and risks, are uncertain since ecological systems as well as social systems change in the future. Thus the selection of a suitable construction method has been perceived as a multi-criteria decision-making problem highly intensive in knowledge with partial information and uncertainty. This knowledge or perception base from the minds of experts has to be collected and processed for a decision. Fuzzy synthetic evaluation method using analytic hierarchy process by Saaty has been adopted to provide an analytical tool to evaluate the applicability of prefabricated or on-site construction method.

  6. 基于前景理论的灰色多指标风险型决策方法%Grey multi-criteria risk decision-making method based on prospect the-ory

    Institute of Scientific and Technical Information of China (English)

    张娟; 党耀国; 李雪梅

    2014-01-01

    Considering the impact on the multi-criteria decision from risk attitudes, in view of the multi-criteria decision problem with interval numbers, a method based on prospect theory is proposed. The“rewarding good and punishing bad”[-1,1] linear transformation operator is used to standardize the original decision-making information and get the positive and negative bull’s eye. According to the prospect theory and grey target decision-making method, the prospect value function is defined, and the comprehensive prospect values are calculated. A decision tree is constructed to determine the optimal program with the maximum prospect value. An investment decision-making model validates the feasibility and effectiveness of the model.%考虑决策者风险态度对多指标决策的影响,针对决策信息为区间数的多指标风险型决策问题,提出一种基于前景理论的灰色多指标风险型决策方法。首先利用“奖优罚劣”的[-1, 1]线性变换算子对指标为区间数的原始信息进行规范化处理,得到正负靶心。根据前景理论和灰靶理论定义区间数的价值函数和概率权重函数,并以此求解方案的综合前景值,构造决策树并根据前景值最大化思想进行剪枝确定最优方案。通过一个投资实例说明了该模型的有效性和可行性。

  7. An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    A. Yousefli

    2014-01-01

    Full Text Available In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE. This framework aids decision makers to understand different circumstances of an uncertain problem that may occur in the future. Also, to keep decision maker from the optimization problem complexities, a decision support system, which can be replaced by optimization problem, is presented to make optimum or near optimum decisions without solving optimization problem directly. An application of the developed decision aid model and the decision support system is presented in the field of inventory models.

  8. Computerized Mastery Testing Using Fuzzy Set Decision Theory.

    Science.gov (United States)

    Du, Yi; And Others

    1993-01-01

    A new computerized mastery test is described that builds on the Lewis and Sheehan procedure (sequential testlets) (1990), but uses fuzzy set decision theory to determine stopping rules and the Rasch model to calibrate items and estimate abilities. Differences between fuzzy set and Bayesian methods are illustrated through an example. (SLD)

  9. Ranking alternatives based on imprecise multi-criteria data and pairwise overlap dominance relations

    DEFF Research Database (Denmark)

    Franco de los Rios, Camilo Andres; Hougaard, Jens Leth; Nielsen, Kurt

    This paper explores a multi-criteria outranking methodology that is designed to both handle uncertain and imprecise data in describing alternatives as well as treating the decision maker's preference information in a sensible way that re flects the difficulties in articulating preferences. Based...... on fuzzy interval degrees, representing and measuring data imprecision, this procedure obtains a set of semi-equivalence classes assigning an intransitive order on the alternatives. Relevance measures are then explored for ranking alternatives with respect to the semi-equivalence classes, and a final...... illustrative example is given for comparison with standard methods like PROMETHEE. The proposed methodology takes into account the risk attitudes of decision makers, organizing the alternatives and ranking them according to their relevance. The whole interactive decision support allows understanding...

  10. INTEGRATED METHODOLOGY FOR PRODUCT PLANNING USING MULTI CRITERIA ANALYSIS

    Directory of Open Access Journals (Sweden)

    Tarun Soota

    2016-09-01

    Full Text Available Integrated approach to multi-criteria decision problems is proposed using quality function deployment and analytical network process. The objective of the work is to rationalize and improve the method of analyzing and interpreting customer needs and technical requirements. The methodology is used to determine, prioritize engineering requirements based on customer needs for development of best product. Framework allows decision maker to decompose a complex problem in a hierarchical structure to show relationship between objective and criteria. Multi-criteria decision modeling is used for extending the hierarchy process to both dependence and feedback. A case study on bikes is presented for the proposed model.

  11. Fuzzy hybrid MCDM approach for selection of wind turbine service technicians

    OpenAIRE

    Goutam Kumar Bose; Nikhil Chandra Chatterjee

    2016-01-01

    This research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM) methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine service technicians. The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment) and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis) which are integrated...

  12. Rain gauge network design for flood forecasting using multi-criteria decision analysis and clustering techniques in lower Mahanadi river basin, India

    Directory of Open Access Journals (Sweden)

    Anil Kumar Kar

    2015-09-01

    New hydrological insights for the region: This study establishes different possible key RG networks using Hall’s method, analytical hierarchical process (AHP, self organization map (SOM and hierarchical clustering (HC using the characteristics of each rain gauge occupied Thiessen polygon area. Efficiency of the key networks is tested by artificial neural network (ANN, Fuzzy and NAM rainfall-runoff models. Furthermore, flood forecasting has been carried out using the three most effective RG networks which uses only 7 RGs instead of 14 gauges established in the Kantamal sub-catchment, Mahanadi basin. The Fuzzy logic applied on the key RG network derived using AHP has shown the best result for flood forecasting with efficiency of 82.74% for 1-day lead period. This study demonstrates the design procedure of key RG network for effective flood forecasting particularly when there is difficulty in gathering the information from all RGs.

  13. Fuzzy-like multiple objective multistage decision making

    CERN Document Server

    Xu, Jiuping

    2014-01-01

    Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like un...

  14. Approach to Stochastic Multi-Criteria Group Decision Making Based on Normal Distribution Prioritized Aggregation Operator%基于正态分布优先集结算子的随机多准则群决策方法

    Institute of Scientific and Technical Information of China (English)

    张腊娥; 汪新凡

    2014-01-01

    对准则值为正态随机变量,而准则之间具有优先级别的随机多准则群决策问题进行了研究。首先,定义了一种集结正态分布数的优先加权平均(NDNPWA)算子,并给出了该算子的相关性质;进一步,基于NDNPWA算子和正态分布数加权算术平均(NDNWAA)算子,提出了一种准则值为正态随机变量,准则之间具有优先级别,而决策者之间不具有优先级别的随机多准则群决策方法。最后,通过实例分析表明,该方法具有可行性和有效性。%Investigates stochastic multi-criteria group decision making problems in which the criterion values are normal random variables and the criteria are in different priority levels. First, defines a new aggregation operator named normal distribution number prioritized weighted averaging (NDNPWA) operator and provides the relative properties of the operator. Furthermore, based on the NDNPWA operator and the normal distribution number weighted arithmetic averaging (NDNWAA) operator, proposes an approach for solving the stochastic multi-criteria group decision making problems in which the criterion values are normal random variables, the criteria are in different priority levels and the decision makers are not in different priority levels. Finally, presents an illustrative example to demonstrate the feasibility and effectiveness of the developed method.

  15. An improved hybrid multi-criteria/multidimensional model for strategic industrial location selection: Casablanca industrial zones as a case study.

    Science.gov (United States)

    Boutkhoum, Omar; Hanine, Mohamed; Agouti, Tarik; Tikniouine, Abdessadek

    2015-01-01

    In this paper, we examine the issue of strategic industrial location selection in uncertain decision making environments for implanting new industrial corporation. In fact, the industrial location issue is typically considered as a crucial factor in business research field which is related to many calculations about natural resources, distributors, suppliers, customers, and most other things. Based on the integration of environmental, economic and social decisive elements of sustainable development, this paper presents a hybrid decision making model combining fuzzy multi-criteria analysis with analytical capabilities that OLAP systems can provide for successful and optimal industrial location selection. The proposed model mainly consists in three stages. In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process. In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge. In the last stage, OLAP analysis integrated with multi-criteria analysis employs these weighted criteria as inputs to evaluate, rank and select the strategic industrial location for implanting new business corporation in the region of Casablanca, Morocco. Finally, a sensitivity analysis is performed to evaluate the impact of criteria weights and the preferences given by decision makers on the final rankings of strategic industrial locations.

  16. Fuzzy multicriteria decision making for the evaluation of wind sites

    Energy Technology Data Exchange (ETDEWEB)

    Skikos, G.D.; Machias, A.V. (National Technical Univ., Athens (Greece). Dept. of Electrical Engineering)

    1992-01-01

    The aim of this paper is to present an innovative multicriteria decision making method for the evaluation of wind sites. The approach is based on the fuzzy set theory. The sets of information such as the mean wind speed, the wind direction frequency, the terrain roughness length and the wind speed frequency distribution of a site are used and combined through a fuzzy decision algorithm in order to yield the Fuzzy Site Index (FSI). The index is applied to evaluate and classify the sites where the installation of wind turbines is considered feasible. A numerical example of the proposed procedure is presented, using the available wind data of selected sites in Greece. (author)

  17. Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making

    Directory of Open Access Journals (Sweden)

    Babak Daneshvar Rouyendegh

    2012-01-01

    Full Text Available There are various methods regarding project selection in different fields. This paper deals with an actual application of construction project selection, using two aggregation operators. First, the opinion of experts is used in a model of group decision making called intuitionistic fuzzy TOPSIS (IFT. Secondly, project evaluation is formulated by dynamic intuitionistic fuzzy weighted averaging (DIFWA. Intuitionistic fuzzy weighted averaging (IFWA operator is utilized to aggregate individual opinions of decision makers (DMs for rating the importance of criteria and alternatives. A numerical example for project selection is given to clarify the main developed result in this paper.

  18. The development and application of multi-criteria decision-making tool with consideration of uncertainty: the selection of a management strategy for the bio-degradable fraction in the municipal solid waste.

    Science.gov (United States)

    El Hanandeh, Ali; El-Zein, Abbas

    2010-01-01

    A modified version of the multi-criteria decision aid, ELECTRE III has been developed to account for uncertainty in criteria weightings and threshold values. The new procedure, called ELECTRE-SS, modifies the exploitation phase in ELECTRE III, through a new definition of the pre-order and the introduction of a ranking index (RI). The new approach accommodates cases where incomplete or uncertain preference data are present. The method is applied to a case of selecting a management strategy for the bio-degradable fraction in the municipal solid waste of Sydney. Ten alternatives are compared against 11 criteria. The results show that anaerobic digestion (AD) and composting of paper are less environmentally sound options than recycling. AD is likely to out-perform incineration where a market for heating does not exist. Moreover, landfilling can be a sound alternative, when considering overall performance and conditions of uncertainty.

  19. 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

  20. Multi-criteria Decision-making Method Based on Prioritized Weighted Average Operator with Linguistic D Numbers%基于语言D数优先加权算子的多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    黄思旷

    2015-01-01

    Linguistic D numbers, as well as their operation, score function and corrected score function were defined.The linguistic D numbers prioritized weighted average ( LD-PWA) operator was proposed then. For the multi-criteria decision making problems that the criteria are in different priority level and the criteria values are linguistic D numbers, a multi-criteria decision-making method based on LD-PWA operator was proposed.In this method, the priority weights were attained using the corrected score function values of linguistic D numbers.Then, LD-PWA operator was used to reach the comprehensive criteria values.Finally, the alterna-tives were ranked by the score function.Analysis of an example demonstrated the feasibility and effectiveness of the method.%定义了语言D数及其运算法则、得分函数和修正得分函数以及语言D数的优先加权平均( LD-PWA)算子,并针对准则具有优先关系且准则值为语言D数的多准则决策问题,提出了一种基于LD-PWA算子的多准则决策方法。该方法通过语言D数值的修正得分函数值得到其优先级权重,利用LD-PWA算子确定方案的综合准则值,并由语言D数的得分函数计算得到综合准则值的排序,进而确定方案的排序。实例分析验证了该方法的有效性和可行性。

  1. An approach to multi-criteria decision making based on intuitionistic binary linguistic evaluation%基于直觉二元语言评价的多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    王中兴; 刘久兵; 兰继斌; 刘芳

    2015-01-01

    For multi-criteria decision making problems with intuitionistic linguistic information, the concept of intuitionistic binary linguistic numbers(IBLNs) and its operational laws, the expected value and the accuracy value are defined. Moreover, the intuitionistic binary linguistic sum( IBLS) operator and the intuitionistic binary linguistic weighted averaging ( IBLWA) operator are proposed, and some properties of the IBLWA operator are discussed. Based on the IBLS and IBLWA opera-tors, a multi-criteria decision making approach is put forward, in which the criteria weights are known and the criteria values are intuitionistic linguistic information. An example is given to illustrate the effectiveness of this method.%针对直觉语言信息的多准则决策问题,定义了直觉二元语言数的概念及其运算法则,以及直觉二元语言数的期望值和精确值,提出直觉二元语言和( IBLS)算子与直觉二元语言加权平均( IBLWA)算子,并讨论了IBLWA算子的相关性质。基于直觉二元语言和算子和加权平均算子,提出一种准则权重已知且准则值为直觉语言信息的多准则决策方法,并通过算例说明该方法的有效性。

  2. Interval multi-criteria decision-making approach based on prospect theory and statistic deduction%基于前景理论和统计推断的区间数多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    江文奇

    2015-01-01

    针对准则权重不完全确定且准则值为区间数的多准则群决策问题,提出一种基于前景理论的多准则决策方法。基于统计推断原理,以各准则下的方案值为样本推断其发生的概率,进而确定期望值参考点。基于区间数可能度确定价值函数,以方案区分度最大为目标构建非线性优化模型并确定方案排序。最后,通过实例分析表明了所提出方法的有效性和可行性。%Aiming at the interval multi-criteria decision-making problems with uncertain criteria weights, a multi-criteria decision-making approach is proposed. Firstly, the probability of each alternative under each criterion is given through statistical inference principle, in which the whole alternative values are used as samples. Then, the value function may be offered based on the possibility degree of interval number, a non-linear programming mode with maximum degree of differentiation among all the alternatives is constructed to rank the alternatives. Finally, a numerical example illustrates the feasibility and effectiveness of the proposed method.

  3. 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.

  4. Assessment Model of Economic Performance of Oil Vapor Recovery Based on Grey Relation Projection Method of Multi-criteria Decision%多目标决策灰色关联投影法油气回收绩效评价

    Institute of Scientific and Technical Information of China (English)

    王卫兵; 王磊; 孙毅

    2011-01-01

    针对现有油气回收方法缺乏量化性比较评价的问题,采用模糊数学中的灰色系统理论和工程优化中的多目标决策思想,建立了基于多目标决策的灰色关联投影法油气回收绩效评价模型.利用该模型对现有四种油气回收方法的指标数据进行综合量化分析,结果表明,该模型的量化评价结果与现有文献的非量化评价结果是一致的,证明模型是有效可信的,从而为石化企业油气回收的方法选择和方案设计提供决策参考.%Aiming at the problems that the lack of quantitative comparison evaluation of existing oil vapors recovery methods, the assessment model of economic performance of oil vapor recovery based on grey relation projection method of multi-criteria decision was established by using fuzzy mathematics in the gray system theory and multi-objective decision-making ideas in engineering optimization. The model comprehensive quantitative analysis of the indicator data of the existing four kinds of oil vapors recovery methods. The results show that quantitative evaluation of the model is equal to the non-quantitative evaluation of existing literature and prove that the model is effective and credible. Thereby it provides decision-making reference for petrochemical enterprises to select gasoline vapors recovery methods and design scheme.

  5. Fuzzy multiple objective decision making methods and applications

    CERN Document Server

    Lai, Young-Jou

    1994-01-01

    In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topi...

  6. 基于Hurwicz的概率不确定的灰色随机多准则决策方法%Grey stochastic multi-criteria decision-making approach based on Hurwicz with uncertain probability

    Institute of Scientific and Technical Information of China (English)

    周欢; 王坚强; 王丹丹

    2015-01-01

    首先定义了扩展灰数的可能度和距离公式;然后针对方案准则值为扩展灰数的不确定多准则决策问题,提出一种基于Hurwicz的概率不确定的灰色随机多准则决策方法。该方法通过使用扩展灰数的可能度和Hurwicz准则求得各方案在各准则下的评价值,经规范化后得到标准效用值决策矩阵;利用扩展灰数的距离和TODIM思想计算决策者对每个方案的损益感知价值及方案优势度,进而计算各方案总体感知价值大小以对方案进行排序。最后,通过算例验证了所提出方法的可行性和有效性。%The possibility degree and distance of extended grey numbers are defined. For multi-criteria decision-making problems, where the probabilities are uncertain and the criteria values of alternatives can be extended grey numbers, a grey stochastic multi-criteria decision-making approach based on Hurwicz with uncertain probability is proposed. By using the possibility degree of extended grey number and Hurwicz criteria, the evaluation values of each alternative for each criterion are calculated, and the standard utility value decision matrix can be obtained after normalization. The decision-maker’s perceived value of the gain or loss of every alternative is calculated according to the distance of extended grey number and basic idea of the TODIM method. Then all alternatives are ranked according to the comprehensively perceived values. Finally, an illustrative example shows the feasibility and effectiveness of the proposed approach.

  7. Fuzzy Multiple Criteria Decision Making Model with Fuzzy Time Weight Scheme

    Directory of Open Access Journals (Sweden)

    Chin-Yao Low

    2013-11-01

    Full Text Available In this study, we purpose a common fuzzy multiple criteria decision making model. A brand new concept - fuzzy time weighted scheme is adopted for considering in the model to establish a fuzzy multiple criteria decision making with time weight (FMCDMTW model. A real case of fuzzy multiple criteria decision making (FMCDM problems to be considering in this study. The performance evaluation of auction websites based on all criteria proposed in related literature. Obviously, the problem under investigated is a FMCDM problem with historic data and recent data. Since the evaluated criteria proposed in the literature cannot be defined precisely and numerically, fuzzy linguistic terms can be used to aggregate them numerically.  It not only conforms to human cognition but also benefits interpretation. Furthermore, notice that the literature considered contains certain amount of historic data. Equally weighted historic data is usually considered in FMCDM problems, and this approach would introduce bias owing to the collected data for a certain long time period.  As a result, fuzzy time weighted technique is adopted to resolve this issue.  

  8. Multi-criteria decision aid approach for the selection of the best compromise management scheme for ELVs: the case of Cyprus.

    Science.gov (United States)

    Mergias, I; Moustakas, K; Papadopoulos, A; Loizidou, M

    2007-08-25

    Each alternative scheme for treating a vehicle at its end of life has its own consequences from a social, environmental, economic and technical point of view. Furthermore, the criteria used to determine these consequences are often contradictory and not equally important. In the presence of multiple conflicting criteria, an optimal alternative scheme never exists. A multiple-criteria decision aid (MCDA) method to aid the Decision Maker (DM) in selecting the best compromise scheme for the management of End-of-Life Vehicles (ELVs) is presented in this paper. The constitution of a set of alternatives schemes, the selection of a list of relevant criteria to evaluate these alternative schemes and the choice of an appropriate management system are also analyzed in this framework. The proposed procedure relies on the PROMETHEE method which belongs to the well-known family of multiple criteria outranking methods. For this purpose, level, linear and Gaussian functions are used as preference functions.

  9. Closed loop supply chain network design with fuzzy tactical decisions

    Science.gov (United States)

    Sherafati, Mahtab; Bashiri, Mahdi

    2016-01-01

    One of the most strategic and the most significant decisions in supply chain management is reconfiguration of the structure and design of the supply chain network. In this paper, a closed loop supply chain network design model is presented to select the best tactical and strategic decision levels simultaneously considering the appropriate transportation mode in activated links. The strategic decisions are made for a long term; thus, it is more satisfactory and more appropriate when the decision variables are considered uncertain and fuzzy, because it is more flexible and near to the real world. This paper is the first research which considers fuzzy decision variables in the supply chain network design model. Moreover, in this study a new fuzzy optimization approach is proposed to solve a supply chain network design problem with fuzzy tactical decision variables. Finally, the proposed approach and model are verified using several numerical examples. The comparison of the results with other existing approaches confirms efficiency of the proposed approach. Moreover the results confirms that by considering the vagueness of tactical decisions some properties of the supply chain network will be improved.

  10. Uncertain linguistic multi-criteria group decision-making approach based on integrated cloud%基于综合云的不确定语言多准则群决策方法

    Institute of Scientific and Technical Information of China (English)

    王坚强; 刘淘

    2012-01-01

    针对准则权重已知、决策者权重未知、准则值为不确定语言的多准则群决策问题,提出一种基于云模型的决策方法.该方法首先将不确定语言值转化为综合云;然后采用生成浮动云的方法进行偏好集结,并通过计算"不确定度"和"决策者偏差度"求得决策者权重;最后引入Hamming距离求得贴近度大小,通过比较得到方案集的排序.实例分析表明了该方法的有效性和可行性.%A decision-making method based on cloud model is proposed to solve the multi-criteria group decision-making problems, in which the criteria weights are given, decision-makers' weights are unknown and the criteria values are uncertain linguistic. Firstly, by converting uncertain linguistic values into interval integrated cloud, the preference aggregation is got by means of floating cloud. Then the decision-makers' weight is gotten by calculating the "uncertainty" and the "deviation degrees of decision-makers", and the closeness degree is obtained by introducing the Hamming distance. And the ranking of alternatives is listed by comparing the closeness degree obtained by introduced the Hamming distance. Finally, an illustrative example analysis shows the effectiveness and feasibility of this approach.

  11. 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

  12. Multi criteria Decision model (MCDM for the evaluation of maintenance practices and Implementation of Total Productive Maintenance(TPM in Indian Industries

    Directory of Open Access Journals (Sweden)

    Subhash Chandra

    2015-09-01

    Full Text Available The perceptible impact of Total Productive Maintenance (TPM lies in raising productivity standards, gaining profitability, and improving the quality besides cutting down the non value added costs greatly. This paper is an attempt to provide a frame work and pragmatic approach in implementation of TPM. A number of novel success factors or practices that are responsible for the decisive role to overture the process are identified. These practices are interchangeably called as sub-attributes. These practices must have evolved from different strategies. The sub-attributes are quantified using least square multi attribute decision model (LSMADM for three alternatives strategies viz. corrective maintenance, reliability centered maintenance(RCM, and TPM. Any sub-attribute irrespective of its own high or low relative score among the number of sub attributes is evaluated over three alternative strategies. To implement any sub-attribute, an investigation of its highest relative score for given alternatives will guide the managers to opt the best alternative. The best practices must come from different strategies to get most optimal results. The priorities established using LSMADM will act as base line to implement the industrial activities in a more systematic and balanced way to gain far-reaching optimized productivity and quality standards. The higher priority task will be given higher consideration in terms of committing the resources vis a vis less priority task. This will aid in orienting the collective efforts for optimal outcomes.

  13. Multi criteria decision making to select the best method for the preparation of solid lipid nanoparticles of rasagiline mesylate using analytic hierarchy process

    Directory of Open Access Journals (Sweden)

    Viveksarathi Kunasekaran

    2014-01-01

    Full Text Available The objective of this study was to select best method for the development of rasagiline mesylate (RM loaded nanoscale solid lipid particles using analytic hierarchy process (AHP. Improper method selection may lead to waste of time, loss of material and financial resources. One of the possibilities to overcome these difficulties, AHP was employed to find the suitable method. In the AHP, a decision of hierarchy was constructed with a goal, criteria, sub-criteria, and alternatives. After constructing the AHP, the expert choice software was used to compute the overall priority of criteria, sub-criteria and alternatives. The best alternative selected was based on the highest priority. Nanoscale solid lipid particles of RM was formulated by the selected microemulsion method (M4 and it shows the particle size, polydispersity index and zeta potential were within acceptable limits. Drug content and entrapment efficiency of the RM-solid lipid nanoparticles were 97.26% and 86.57%, respectively. This study concludes that the AHP was viable and effective tool for selecting a most suitable method for the fabrication of RM loaded nanoscale solid lipid particles.

  14. Multi criteria decision making to select the best method for the preparation of solid lipid nanoparticles of rasagiline mesylate using analytic hierarchy process.

    Science.gov (United States)

    Kunasekaran, Viveksarathi; Krishnamoorthy, Kannan

    2014-07-01

    The objective of this study was to select best method for the development of rasagiline mesylate (RM) loaded nanoscale solid lipid particles using analytic hierarchy process (AHP). Improper method selection may lead to waste of time, loss of material and financial resources. One of the possibilities to overcome these difficulties, AHP was employed to find the suitable method. In the AHP, a decision of hierarchy was constructed with a goal, criteria, sub-criteria, and alternatives. After constructing the AHP, the expert choice software was used to compute the overall priority of criteria, sub-criteria and alternatives. The best alternative selected was based on the highest priority. Nanoscale solid lipid particles of RM was formulated by the selected microemulsion method (M4) and it shows the particle size, polydispersity index and zeta potential were within acceptable limits. Drug content and entrapment efficiency of the RM-solid lipid nanoparticles were 97.26% and 86.57%, respectively. This study concludes that the AHP was viable and effective tool for selecting a most suitable method for the fabrication of RM loaded nanoscale solid lipid particles.

  15. Multi-Criteria Decision Analysis as a tool to extract fishing footprints and estimate fishing pressure: application to small scale coastal fisheries and implications for management in the context of the Maritime Spatial Planning Directive

    Directory of Open Access Journals (Sweden)

    S. KAVADAS

    2015-07-01

    Full Text Available In the context of the Maritime Spatial Planning Directive and with the intention of contributing to the implementation of a future maritime spatial plan, it was decided to analyze data from the small scale coastal fisheries sector of Greece and estimate the actual extent of its activities, which is largely unknown to date. To this end we identified the most influential components affecting coastal fishing: fishing capacity, bathymetry, distance from coast, Sea Surface Chlorophyll (Chl-a concentration, legislation, marine traffic activity, trawlers and purse seiners fishing effort and no-take zones. By means of Multi-Criteria Decision Analysis (MCDA conducted through a stepwise procedure, the potential fishing footprint with the corresponding fishing intensity was derived. The method provides an innovative and cost-effective way to assess the impact of the, notoriously hard to assess, coastal fleet. It was further considered how the inclusion of all relevant anthropogenic activities (besides fishing could provide the background needed to plan future marine activities in the framework of Marine Spatial Planning (MSP and form the basis for a more realistic management approach.

  16. Comparative Multi-Criteria Assessment of Climate Policies and Sustainable Development Strategies in Cameroon: Towards a GIS Decision-Support Tool for the Design of an Optimal REDD+ Strategy

    Directory of Open Access Journals (Sweden)

    Anderson Gwanyebit Kehbila

    2014-09-01

    Full Text Available Cameroon is committed to reducing emissions from deforestation and forest degradation plus conservation, sustainable management of forests and enhancement of carbon stocks (REDD+. To achieve this goal, the government has introduced a series of policy reforms and formulated a number of key strategic planning documents to advance the REDD+ readiness process in Cameroon. This paper assesses the extent to which major cross-sectoral policies support or impede the development and implementation of an optimal REDD+ strategy in Cameroon from a comparative multi-criteria perspective. Study results reveal that a majority of the policy instruments reviewed appeared to be less prescriptive in terms of any tangible REDD+ strategy, as they do not have provisions for tangible measures to reduce deforestation and forest degradation. Given the lack of adequate flexibility, prompt review and responsiveness of these cross-sectoral policies to adapt themselves to new realities and respond to a changing environment, this paper introduces a GIS-REDD+ decision support system (GIS-REDD+DSS that is necessary to support the adaptive element of an adaptive REDD+ strategy in Cameroon. The GIS-REDD+DSS, an electronic REDD+agri intermediary hub, serves the following purpose: (1 host a database of locally-relevant climate information, improved input technologies, best practices as well as land use and forest cover geo-spatial maps; (2 host a virtual economic tool that performs economic valuations (costs and benefits and financial analysis of REDD+agri projects to aid investment decision-making; and (3 host an electronic marketplace to mediate any-to-any transactions among REDD+agri project developers, service providers, input suppliers, private and institutional investors and buyers (wholesalers and retailers, thereby creating value in two ways: aggregation and matching. This decision support tool, we argue, is a fundamental prerequisite for “policy and REDD+ safeguard

  17. 基于区间数的多时点多属性灰靶决策模型%Multi-period and multi-criteria decision making model of grey target based on interval number

    Institute of Scientific and Technical Information of China (English)

    梁燕华; 郭鹏; 朱煜明; 赵静

    2012-01-01

    针对多属性决策的不确定性和多时点性,提出基于区间数的多时点多属性灰靶决策模型.该方法依据逼近理想解方法和区间数的运算规则,结合指标权重来计算案例的正负靶心距;基于灰熵和时间度建立时点权重的求解模型;根据指标权重和时间点权重给出对各时点的靶心距进行集结的目标函数,利用隶属度对案例进行排序,进一步完善了灰靶决策理论.最后,通过具体算例验证了所提出模型的可行性和有效性.%A new multi-period and multi-criteria decision making model of grey target is proposed for the uncertainty and multi-stage of decision making. Based on TOPSIS and the algorithm of interval number, the measuring function of target-center distances for the cases is presented, which takes the weights of criteria into account. According to grey entropy and the time temperature, a calculating model for the weights of the time sequence is constructed. Based on the weights of criteria and time sequence, the objective function of clustering algorithm is proposed, which aggregates target-center distances of all evaluated period. The evaluated value of every scenario is obtained, which improves the theory of the grey target decision-making further. Finally, an example shows the effectiveness and practicability of the model.

  18. Fuzzy group decision making in a competitive situation

    NARCIS (Netherlands)

    Yan, Jiang; Harten, van Aart; Wegen, van der Leo

    1997-01-01

    In this paper a group decision making problem in a competitive situation with two opponents is considered. Uncertainty in the score assessment for both opponents of any individual of the group as well as between group members is taken into account by means of fuzzy sets. The individual scores can be

  19. A Fuzzy Set Theory Approach to Periodical Binding Decisions.

    Science.gov (United States)

    Turner, Stephen J.; O'Brien, Gregory

    1984-01-01

    Results of data analysis on 470 journal titles illustrate complexity of the fuzzy set theory modeling process, which consists of three factors--number of missing issues, citations, circulations--and its limitations in making journal binding decisions. Procedures of research, data collection, and data analysis are discussed. Matrices are included.…

  20. Fuzzy Privacy Decision for Context-Aware Access Personal Information

    Institute of Scientific and Technical Information of China (English)

    ZHANG Qingsheng; QI Yong; ZHAO Jizhong; HOU Di; NIU Yujie

    2007-01-01

    A context-aware privacy protection framework was designed for context-aware services and privacy control methods about access personal information in pervasive environment. In the process of user's privacy decision, it can produce fuzzy privacy decision as the change of personal information sensitivity and personal information receiver trust. The uncertain privacy decision model was proposed about personal information disclosure based on the change of personal information receiver trust and personal information sensitivity. A fuzzy privacy decision information system was designed according to this model. Personal privacy control policies can be extracted from this information system by using rough set theory. It also solves the problem about learning privacy control policies of personal information disclosure.

  1. Fuzzy multiple attribute decision making methods and applications

    CERN Document Server

    Chen, Shu-Jen

    1992-01-01

    This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Applications" (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the f...

  2. Multi-criteria group decision making approach with variable weights in dynamic environment%动态环境下的群组专家多准则变权决策方法

    Institute of Scientific and Technical Information of China (English)

    孙永河; 段万春; 李春好; 许成磊

    2015-01-01

    Classic Multi-Criteria Decision Making(MCDM)method is unable to deal with the dynamicity in real world. Also, it is difficult to reflect the feedback action that Alternative Cluster(AC)dominates Criteria Cluster(CC). To over-come the above mentioned drawbacks, in this paper a multi-criteria group decision making approach with variable weights in a dynamic environment is suggested by synthesizing both data envelopment analysis and analytic network pro-cess. Compared with classic MCDM method, the outstanding advantages for the approach lie in following three points. A dynamic evolvement mechanism for MCDM model is proposed. A novel group information distilling way is given by ana-lyzing these statements that each alternative lies in criteria to express expert preference, which ensures no loss of every infor-mation. It may realize the decision with variable weights for alternatives, therefore, nonlinear interaction relation between AC and CC could be well reflected. The approach is validated to be feasible and scientific and can be well applied to solve the real world dynamic decision issues, such as selecting dynamic disaster relief alternatives, supplier dynamic eval-uation, etc.%为克服经典多准则决策(MCDM)方法不适应动态的决策环境、难以反映方案集对准则集的非线性反馈效应等方面缺陷,通过运用网络分析和数据包络分析技术,提出一种动态环境下的群组专家多准则变权决策方法。较之于经典MCDM方法,新方法主要创新之处在于:给出了MCDM模型的动态演化机理;通过专家对方案所处准则状态予以有偏好(无偏好)判断,提出一种保证信息无损的群组专家信息提取方式;实现了对方案的变权评价,有效反映出蕴含在系统内部的准则集与方案集的非线性交互作用关系。实例验证结果表明,所提方法是科学可行的,能够有效解决救灾方案动态优选、供应商动态评价等实践问题。

  3. Multicriteria Decision Making Method Based on the Higher Order Hesitant Fuzzy Soft Set.

    Science.gov (United States)

    Farhadinia, B

    2014-01-01

    The main goal of this contribution is to introduce the concept of higher order hesitant fuzzy soft set as an extension of fuzzy soft set that encompasses most of the existing extensions of fuzzy soft set as special cases. Furthermore, this new concept provides us with a method for dealing with multicriteria fuzzy decision making problems which are difficult to explain in other existing extensions of fuzzy soft set theory, especially when problems involve parameters with different-dimensional levels.

  4. Advances In Infection Surveillance and Clinical Decision Support With Fuzzy Sets and Fuzzy Logic.

    Science.gov (United States)

    Koller, Walter; de Bruin, Jeroen S; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

    2015-01-01

    By the use of extended intelligent information technology tools for fully automated healthcare-associated infection (HAI) surveillance, clinicians can be informed and alerted about the emergence of infection-related conditions in their patients. Moni--a system for monitoring nosocomial infections in intensive care units for adult and neonatal patients--employs knowledge bases that were written with extensive use of fuzzy sets and fuzzy logic, allowing the inherent un-sharpness of clinical terms and the inherent uncertainty of clinical conclusions to be a part of Moni's output. Thus, linguistic as well as propositional uncertainty became a part of Moni, which can now report retrospectively on HAIs according to traditional crisp HAI surveillance definitions, as well as support clinical bedside work by more complex crisp and fuzzy alerts and reminders. This improved approach can bridge the gap between classical retrospective surveillance of HAIs and ongoing prospective clinical-decision-oriented HAI support.

  5. Uncertain game-collaborative decision-making of combo-biding based on fuzzy Bernardo theory

    Science.gov (United States)

    Yao, Ruojun; Ma, Guangwen

    2012-01-01

    Combo-biding is uncertain game-collaborative with uncertainty,and decision maker's experience is fuzzy.Gameoptimizing of combo-biding can be translated into fuzzy-chance- restriction programming according to Fuzzy Bernardo Methed with a view to creditability measure of fuzzy occurrence.The method can adapt itself to game-collaborative decision-making of combo-biding in allusion to different gaol.

  6. Intuition based decision making methodology for ranking fuzzy numbers using centroid point and spread

    OpenAIRE

    Abu Bakar, Ahmad Syafadhli Bin

    2015-01-01

    The concept of ranking fuzzy numbers has received significant attention from the research community due to its successful applications for decision making. It complements the decision maker exercise their subjective judgments under situations that are vague, imprecise, ambiguous and uncertain in nature. The literature on ranking fuzzy numbers show that numerous ranking methods for fuzzy numbers are established where all of them aim to correctly rank all sets of fuzzy numbers that mimic real d...

  7. The application of fuzzy decision-making in geochemical data processing

    Science.gov (United States)

    Zhou, Lili; Song, Liangtu; Liu, Lei; Wu, Yue

    2017-03-01

    Fuzzy similarity ratio method is a widely used method of fuzzy decision-making, not only to classification, but also to sort. In this paper, we constructed a geochemical anomaly evaluation model using the Fuzzy similarity ratio method; we also program it with C# language and applied the model to practical work. Practice has proved that the fuzzy decision-making applies to the evaluation of geochemical anomalies can effectively improve the accuracy of the evaluation.

  8. Multi-criteria risky-decision-making approach based on prospect theory and cloud model%基于前景理论及云模型风险型多准则决策方法

    Institute of Scientific and Technical Information of China (English)

    赵坤; 高建伟; 祁之强; 李存斌

    2015-01-01

    For the risky multi-criteria decision-making problem in which the criteria value is linguistic variables, and the weighted coefficients are partially known, a decision-making approach based on the prospect theory and the cloud model is proposed. An improved method for generating cloud is proposed, and the linguistic variables are converted into the cloud model based on this method. After that, the cloud distance and the cloud comparison rule are defined. Then, the prospect value function of the cloud model can be defined, and the prospect decision matrix is constructed based on all other alternatives as the dynamic reference point. On the basis of the optimal criteria weights attained by the algorithm of maximizing deviation, the order of alternatives can be listed by comparing the integrated prospect values of each alternative. Finally, an example is illustrated to verify the rationality and reliability of the proposed method.%针对具有语言评价信息、准则权系数部分已知的多准则决策问题,提出一种基于前景理论及云模型的决策方法。首先,通过给出一种改进的云模型生成方法将语言评价值转化为云模型;然后,通过定义云模型距离和可能度给出云前景价值,并以其他备选方案为动态参考点,构建云前景决策矩阵;最后,在依据离差最大化得出最优权系数的基础上,通过各方案综合前景值对其进行排序。算例验证了所提出方法的合理性和可靠性。

  9. Supplier Selection Group Decision Making in Logistics Service Value Cocreation Based on Intuitionistic Fuzzy Sets

    Directory of Open Access Journals (Sweden)

    Qifeng Wang

    2015-01-01

    Full Text Available Intuitionistic fuzzy information aggregation plays an important role in intuitionistic fuzzy set theory and is widely used in group decision making. In this paper, an induced intuitionistic fuzzy Einstein hybrid aggregation operator (I-IFEHA is investigated for supplier selection group decision making in logistics service value cocreation based on fuzzy measures. We first introduce some aggregation operators and Einstein operations on intuitionistic fuzzy sets and develop a new induced intuitionistic fuzzy Einstein hybrid aggregation operator to accommodate the environment in which the given arguments are intuitionistic fuzzy values. Then, we study the supplier selection group decision model in logistics service value cocreation based on intuitionistic fuzzy sets with the I-IFEHA operator. Finally, an example of 3PL supplier selection in logistics service value cocreation environment is given to verify the developed approach and to demonstrate the effectiveness of the developed approach.

  10. 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

  11. FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING

    Directory of Open Access Journals (Sweden)

    Mayank Kumar

    2012-06-01

    Full Text Available In this paper, a method for decision making using fuzzy integral and distance function is presented. Case studies of multiple-response process with correlated responses are used to illustrate the effective application of the proposed approach. The efficacy of this method is compared with the existing methods of MCDM like TOPSIS and GRA. The proposed method is robust, requires less information and less complex as compared to many existing methods.

  12. Derived operating rules for a reservoir operation system: Comparison of decision trees, neural decision trees and fuzzy decision trees

    Science.gov (United States)

    Wei, Chih-Chiang; Hsu, Nien-Sheng

    2008-02-01

    This article compares the decision-tree algorithm (C5.0), neural decision-tree algorithm (NDT) and fuzzy decision-tree algorithm (FIDs) for addressing reservoir operations regarding water supply during normal periods. The conventional decision-tree algorithm, such as ID3 and C5.0, executes rapidly and can easily be translated into if-then-else rules. However, the C5.0 algorithm cannot discover dependencies among attributes and cannot treat the non-axis-parallel class boundaries of data. The basic concepts of the two algorithms presented are: (1) NDT algorithm combines the neural network technologies and conventional decision-tree algorithm capabilities, and (2) FIDs algorithm extends to apply fuzzy sets for all attributes with membership function grades and generates a fuzzy decision tree. In order to obtain higher classification rates in FIDs, the flexible trapezoid fuzzy sets are employed to define membership functions. Furthermore, an intelligent genetic algorithm is utilized to optimize the large number of variables in fuzzy decision-tree design. The applicability of the presented algorithms is demonstrated through a case study of the Shihmen Reservoir system. A network flow optimization model for analyzing long-term supply demand is employed to generate the input-output patterns. Findings show superior performance of the FIDs model in contrast with C5.0, NDT and current reservoir operating rules.

  13. Intuitionistic fuzzy prioritized OWA operator and its application in multicriteria decision-making problem%直觉模糊POWA算子及其在多准则决策中的应用

    Institute of Scientific and Technical Information of China (English)

    徐永杰; 孙涛; 李登峰

    2011-01-01

    为了解决具有优先级的直觉模糊多准则决策问题,定义了直觉模糊优先有序加权平均(IFPOWA)算子.基于优先关系.利用直觉模糊值修正得分函数给出其关联权重向量的计算方法,分析并证明了IFPOWA算子的性质;提出了基于IFPOWA算了的具有优先级的直觉模糊多准则决策方法.最后,利用实例对方法的有效性进行了分析.%In order to solve the prioritized multi-criteria decision-making problem under intuitionistic fuzzy environment, the intuitionistic fuzzy POWA(IFPOWA) operator is defined.The method of determining the weighting vector related with the operator is formulated based on priority relationship and revised scoring function.Some properties on the IFPOWA operator are presented.A novel method for prioritized multi-criteria decision-making problem under intuitonistic fuzzy environment utilizing the IFPOWA operator is developed.Finally, a practical example shows the effectiveness of the proposed method.

  14. 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...... sensitivity. Since pair-wise comparisons contains information on the trade-off’s acceptable to the decision maker, it is possible to calculate the shadow price of the effect compared to a given price base. The final section discusses two different approaches for the building of weight profiles...

  15. Six Sigma Project Selection Using Fuzzy TOPSIS Decision Making Approach

    Directory of Open Access Journals (Sweden)

    Rajeev Rathi

    2015-05-01

    Full Text Available Six Sigma is considered as a logical business strategy that attempts to identify and eliminate the defects or failures for improving the quality of product and processes. A decision on project selection in Six Sigma is always very critical; it plays a key role in successful implementation of Six Sigma. Selection of a right Six Sigma project is essentially important for an automotive company because it greatly influences the manufacturing costs. This paper discusses an approach for right Six Sigma project selection at an automotive industry using fuzzy logic based TOPSIS method. The fuzzy TOPSIS is a well recognized tool to undertake the fuzziness of the data involved in choosing the right preferences. In this context, evaluation criteria have been designed for selection of best alternative. The weights of evaluation criteria are calculated by using the MDL (modified digital logic method and final ranking is calculated through priority index obtained by using fuzzy TOPSIS method. In the selected case study, this approach has rightly helped to identify the right project for implementing Six Sigma for achieving improvement in productivity.

  16. Multi-stage ranking of emergency technology alternatives for water source pollution accidents using a fuzzy group decision making tool.

    Science.gov (United States)

    Qu, Jianhua; Meng, Xianlin; You, Hong

    2016-06-05

    Due to the increasing number of unexpected water source pollution events, selection of the most appropriate disposal technology for a specific pollution scenario is of crucial importance to the security of urban water supplies. However, the formulation of the optimum option is considerably difficult owing to the substantial uncertainty of such accidents. In this research, a multi-stage technical screening and evaluation tool is proposed to determine the optimal technique scheme, considering the areas of pollutant elimination both in drinking water sources and water treatment plants. In stage 1, a CBR-based group decision tool was developed to screen available technologies for different scenarios. Then, the threat degree caused by the pollution was estimated in stage 2 using a threat evaluation system and was partitioned into four levels. For each threat level, a corresponding set of technique evaluation criteria weights was obtained using Group-G1. To identify the optimization alternatives corresponding to the different threat levels, an extension of TOPSIS, a multi-criteria interval-valued trapezoidal fuzzy decision making technique containing the four arrays of criteria weights, to a group decision environment was investigated in stage 3. The effectiveness of the developed tool was elaborated by two actual thallium-contaminated scenarios associated with different threat levels. Copyright © 2016 Elsevier B.V. All rights reserved.

  17. Research on equipment maintenance support based on fuzzy multiple attribute decision making

    Science.gov (United States)

    JIAO, Jing-yi

    2017-06-01

    Aiming at the problem of equipment maintaining behaviours in equipment supporting action, with the help of fuzzy theory and multiple attribute decision-making, the paper analyzes influence factor and constraint condition. On this basis, the theory that equipment maintaining behaviours based on fuzzy multiple attribute decision making is presented. We can build model method of equipment maintaining behaviours choice, analyzing example. The conclusion proves correctness and feasibility of fuzzy multiple attribute decision making.

  18. TECHNICAL ANALYSIS OF FUZZY METAGRAPH BASED DECISION SUPPORT SYSTEM FOR CAPITAL MARKET

    OpenAIRE

    Anbalagan Thirunavukarasu; Uma Maheswari

    2013-01-01

    This study proposes a Fuzzy Metagraph based Decision Support System (DSS) for short term and long term investment in share market. This rule base decision system will help traders to make correct decision at very low risk. Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD) and WILLIAM- %R are some of the Technical Indicators which are used as input to train the system which is integrated with Fuzzy Metagraph. This approach of incorporating Fuzzy Metagraph with RSI, MA...

  19. Developing a Software for Fuzzy Group Decision Support System: A Case Study

    Science.gov (United States)

    Baba, A. Fevzi; Kuscu, Dincer; Han, Kerem

    2009-01-01

    The complex nature and uncertain information in social problems required the emergence of fuzzy decision support systems in social areas. In this paper, we developed user-friendly Fuzzy Group Decision Support Systems (FGDSS) software. The software can be used for multi-purpose decision making processes. It helps the users determine the main and…

  20. IFP-Intuitionistic Fuzzy Soft h-Ideals of Hemirings and Its Decision Making

    Directory of Open Access Journals (Sweden)

    Qi Liu

    2014-01-01

    Full Text Available The aim of this paper is to introduce the concepts of IFP-intuitionistic fuzzy soft h-ideals and IFP-equivalent intuitionistic fuzzy soft h-ideals of hemirings. Some characterizations and properties of them are given. In particular, some good examples are explored. Finally, we investigate aggregate intuitionistic fuzzy h-ideals of hemirings based on decision making.

  1. IFP-Intuitionistic Fuzzy Soft h-Ideals of Hemirings and Its Decision Making

    OpenAIRE

    Qi Liu; Jianming Zhan

    2014-01-01

    The aim of this paper is to introduce the concepts of IFP-intuitionistic fuzzy soft h-ideals and IFP-equivalent intuitionistic fuzzy soft h-ideals of hemirings. Some characterizations and properties of them are given. In particular, some good examples are explored. Finally, we investigate aggregate intuitionistic fuzzy h-ideals of hemirings based on decision making.

  2. COMPARISON OF FUZZY TOPSIS METHODS USED GROUP DECISION MAKING AND AN APPLICATION

    Directory of Open Access Journals (Sweden)

    FATİH ECER

    2013-06-01

    Full Text Available Fuzzy TOPSIS method used group decision making in fuzzy environment is one of the Multiple Criteria Decision Making (MCDM methods.  It is needed to decision makers (DM, alternatives and decision criteria in order to apply this method. Foundation of the method is the ideal solution is the shortest distance from Fuzzy Positive Ideal Solution (FPIS and the farthest distance from Fuzzy Negative Ideal Solution (FNIS. Using FPIS and FNIS, closeness coefficients of alternatives are evaluated. Closeness coefficients express scores of the alternatives. According to closeness coefficients, alternatives are ranked from the best to the worst. In this study, two fuzzy TOPSIS methods having different algorithms are compared. To this purpose, firstly assessments of decision makers are converted to triangular fuzzy numbers. It is seen at the end of the study that ranking orders of alternatives don’t change.

  3. Multiple Attribute Decision Making Based on Generalized Aggregation Operators under Dual Hesitant Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    Chunyong Wang

    2014-01-01

    Full Text Available We investigate the multiple attribute decision making (MADM problems with dual hesitant fuzzy information. We first introduce some basic concepts and operations on dual hesitant fuzzy sets. Then, we develop some generalized dual hesitant fuzzy aggregation operators which encompass some existing operators as their particular cases and discuss their basic properties. Next, we apply the generalized dual hesitant fuzzy Choquet ordered aggregation (GDHFCOA operator to deal with multiple attribute decision making problems under dual hesitant fuzzy environment. Finally, an illustrative example is given to show the developed method and demonstrate its practicality and effectiveness.

  4. Decision Making in Fuzzy Discrete Event Systems1.

    Science.gov (United States)

    Lin, F; Ying, H; Macarthur, R D; Cohn, J A; Barth-Jones, D; Crane, L R

    2007-09-15

    The primary goal of the study presented in this paper is to develop a novel and comprehensive approach to decision making using fuzzy discrete event systems (FDES) and to apply such an approach to real-world problems. At the theoretical front, we develop a new control architecture of FDES as a way of decision making, which includes a FDES decision model, a fuzzy objective generator for generating optimal control objectives, and a control scheme using both disablement and enforcement. We develop an online approach to dealing with the optimal control problem efficiently. As an application, we apply the approach to HIV/AIDS treatment planning, a technical challenge since AIDS is one of the most complex diseases to treat. We build a FDES decision model for HIV/AIDS treatment based on expert's knowledge, treatment guidelines, clinic trials, patient database statistics, and other available information. Our preliminary retrospective evaluation shows that the approach is capable of generating optimal control objectives for real patients in our AIDS clinic database and is able to apply our online approach to deciding an optimal treatment regimen for each patient. In the process, we have developed methods to resolve the following two new theoretical issues that have not been addressed in the literature: (1) the optimal control problem has state dependent performance index and hence it is not monotonic, (2) the state space of a FDES is infinite.

  5. Evaluation of fuzzy relation method for medical decision support.

    Science.gov (United States)

    Wagholikar, Kavishwar; Mangrulkar, Sanjeev; Deshpande, Ashok; Sundararajan, Vijayraghavan

    2012-02-01

    The potential of computer based tools to assist physicians in medical decision making, was envisaged five decades ago. Apart from factors like usability, integration with work-flow and natural language processing, lack of decision accuracy of the tools has hindered their utility. Hence, research to develop accurate algorithms for medical decision support tools, is required. Pioneering research in last two decades, has demonstrated the utility of fuzzy set theory for medical domain. Recently, Wagholikar and Deshpande proposed a fuzzy relation based method (FR) for medical diagnosis. In their case studies for heart and infectious diseases, the FR method was found to be better than naive bayes (NB). However, the datasets in their studies were small and included only categorical symptoms. Hence, more evaluative studies are required for drawing general conclusions. In the present paper, we compare the classification performance of FR with NB, for a variety of medical datasets. Our results indicate that the FR method is useful for classification problems in the medical domain, and that FR is marginally better than NB. However, the performance of FR is significantly better for datasets having high proportion of unknown attribute values. Such datasets occur in problems involving linguistic information, where FR can be particularly useful. Our empirical study will benefit medical researchers in the choice of algorithms for decision support tools.

  6. 5th International Conference on Fuzzy and Neuro Computing

    CERN Document Server

    Panigrahi, Bijaya; Das, Swagatam; Suganthan, Ponnuthurai

    2015-01-01

    This proceedings bring together contributions from researchers from academia and industry to report the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing in the paradigm of Soft Computing. The FANCCO 2015 conference explored new application areas, design novel hybrid algorithms for solving different real world application problems. After a rigorous review of the 68 submissions from all over the world, the referees panel selected 27 papers to be presented at the Conference. The accepted papers have a good, balanced mix of theory and applications. The techniques ranged from fuzzy neural networks, decision trees, spiking neural networks, self organizing feature map, support vector regression, adaptive neuro fuzzy inference system, extreme learning machine, fuzzy multi criteria decision making, machine learning, web usage mining, Takagi-Sugeno Inference system, extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering e...

  7. Venture Capital Investment Selection Decision-making Base on Fuzzy Theory

    Science.gov (United States)

    Zhang, Xubo

    Venture capital investment decision-making is the most important issue in venture capital investment selection. There are higher uncertainty and complexity in venture capital investment decision-making process. This paper analysis these uncertain risk in venture capital investment decision-making base the previous studies. Attributed the venture capital candidate firms' select to fuzzy optimal decision-making. Build a risk-weight fuzzy optimal return model to avoid the decision-making risk. Get the optimal solution set.

  8. Vendor Evaluation and Selection Using Fuzzy AHP

    Institute of Scientific and Technical Information of China (English)

    LIU Qiong; ZHAO Han; LIANG Ping; WU Zhaoyun

    2006-01-01

    Vendor evaluation and selection is one of the most important issues in manufacturing management. It is a multi-criteria decision problem including various factors. Traditional methods have many shortcomings. Fuzzy AHP model is established to solve this problem. A general evaluation method is provided and steps are presented. As a case study, the model is implemented in an electro-mechanical product company. And a detailed example is given to illustrate the effectiveness of this approach.

  9. On approximating multi-criteria TSP

    NARCIS (Netherlands)

    Manthey, Bodo; Albers, S.; Marion, J.-Y.

    2009-01-01

    We present approximation algorithms for almost all variants of the multi-criteria traveling salesman problem (TSP), whose performances are independent of the number $k$ of criteria and come close to the approximation ratios obtained for TSP with a single objective function. We present randomized app

  10. Applying Fuzzy ID3 Decision Tree for Software Effort Estimation

    CERN Document Server

    Elyassami, Sanaa

    2011-01-01

    Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk analysis, project planning and control, and project improvement investment analysis. In this paper, we investigate the use of Fuzzy ID3 decision tree for software cost estimation; it is designed by integrating the principles of ID3 decision tree and the fuzzy set-theoretic concepts, enabling the model to handle uncertain and imprecise data when describing the software projects, which can improve greatly the accuracy of obtained estimates. MMRE and Pred are used as measures of prediction accuracy for this study. A series of experiments is reported using two different software projects datasets namely, Tukutuku and COCOMO'81 datasets. The results are compared with those produced by the crisp version of the ID3 decision tree.

  11. Applying Fuzzy ID3 Decision Tree for Software Effort Estimation

    Directory of Open Access Journals (Sweden)

    Ali Idri

    2011-07-01

    Full Text Available Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk analysis, project planning and control, and project improvement investment analysis. In this paper, we investigate the use of Fuzzy ID3 decision tree for software cost estimation; it is designed by integrating the principles of ID3 decision tree and the fuzzy set-theoretic concepts, enabling the model to handle uncertain and imprecise data when describing the software projects, which can improve greatly the accuracy of obtained estimates. MMRE and Pred are used as measures of prediction accuracy for this study. A series of experiments is reported using two different software projects datasets namely, Tukutuku and COCOMO'81 datasets. The results are compared with those produced by the crisp version of the ID3 decision tree.

  12. Hesitant fuzzy soft sets with application in multicriteria group decision making problems.

    Science.gov (United States)

    Wang, Jian-qiang; Li, Xin-E; Chen, Xiao-hong

    2015-01-01

    Soft sets have been regarded as a useful mathematical tool to deal with uncertainty. In recent years, many scholars have shown an intense interest in soft sets and extended standard soft sets to intuitionistic fuzzy soft sets, interval-valued fuzzy soft sets, and generalized fuzzy soft sets. In this paper, hesitant fuzzy soft sets are defined by combining fuzzy soft sets with hesitant fuzzy sets. And some operations on hesitant fuzzy soft sets based on Archimedean t-norm and Archimedean t-conorm are defined. Besides, four aggregation operations, such as the HFSWA, HFSWG, GHFSWA, and GHFSWG operators, are given. Based on these operators, a multicriteria group decision making approach with hesitant fuzzy soft sets is also proposed. To demonstrate its accuracy and applicability, this approach is finally employed to calculate a numerical example.

  13. Evaluation of Economic, Social and Environmental Effects of Low-Emission Energy Technologies Development in Poland: A Multi-Criteria Analysis with Application of a Fuzzy Analytic Hierarchy Process (FAHP

    Directory of Open Access Journals (Sweden)

    Magdalena Ligus

    2017-10-01

    Full Text Available The European Commission as well as the Polish government are promoting sustainable use of energy sources as a part of the dominating sustainable development paradigm. The development of low-emission energy sources engages the challenges of gradual depletion of coal, oil and natural gas reserves, as well as the intensification of the greenhouse effect. The energy policy should take into account development of low-emission energy technologies that contribute mostly to meeting the goals of sustainable development in three dimensions: economic, social and environmental. This study aims to assess the extent to which five low-emission energy technologies contribute to social welfare in the scope of the concept of sustainable development. Heuristic methods, including fuzzy analytic hierarchy process (FAHP are used to resolve the multi-goal problem in order to achieve the aim of this research. Research results show that economic goal is still the most important to the development of various low-emission energy technologies in Poland, followed by the social and environmental goals. Secondly, renewable energy technologies should be utilized instead of nuclear energy to meet sustainable development policy goals. Photovoltaics, followed by biomass and biogas are perceived as the most suitable renewable energy sources. Wind on-shore and wind of-shore are on third and fourth place, respectively.

  14. New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables

    Directory of Open Access Journals (Sweden)

    Huani Qin

    2014-01-01

    Full Text Available In the rough fuzzy set theory, the rough degree is used to characterize the uncertainty of a fuzzy set, and the rough entropy of a knowledge is used to depict the roughness of a rough classification. Both of them are effective, but they are not accurate enough. In this paper, we propose a new rough entropy of a rough fuzzy set combining the rough degree with the rough entropy of a knowledge. Theoretical studies and examples show that the new rough entropy of a rough fuzzy set is suitable. As an application, we introduce it into a fuzzy-target decision-making table and establish a new method for evaluating the entropy weight of attributes.

  15. Study on air formation to ground attack-defends decision making in fuzzy condition

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    With the development of modern military technology, uncertain decision-making problems become more and more exigent to be solved in military command and control. Based on game theory, and taking air formation to ground attack-defends campaign as the background, this paper established an opposed dynamic decision-making model. As to the problems in military decision-making in fuzzy condition in uncertainty, this paper put forward a fuzzy-influence-factor, which reflects the fuzzy influence on battle units, and establishes a fuzzy opposed decision-making model in anticipant value and in correlative chance way farther to get strategy equilibrium. It can be seen from the simulating results that the model disposes the fuzzy status in battlefield reasonably, analyzes the fighting results objectively, and offers a powerful decision-making support for military operation. The method is practically and effectively.

  16. Fuzzy Logic Approaches to Multi-Objective Decision-Making in Aerospace Applications

    Science.gov (United States)

    Hardy, Terry L.

    1994-01-01

    Fuzzy logic allows for the quantitative representation of multi-objective decision-making problems which have vague or fuzzy objectives and parameters. As such, fuzzy logic approaches are well-suited to situations where alternatives must be assessed by using criteria that are subjective and of unequal importance. This paper presents an overview of fuzzy logic and provides sample applications from the aerospace industry. Applications include an evaluation of vendor proposals, an analysis of future space vehicle options, and the selection of a future space propulsion system. On the basis of the results provided in this study, fuzzy logic provides a unique perspective on the decision-making process, allowing the evaluator to assess the degree to which each option meets the evaluation criteria. Future decision-making should take full advantage of fuzzy logic methods to complement existing approaches in the selection of alternatives.

  17. A Fuzzy Decision Support System for Management of Breast Cancer

    Directory of Open Access Journals (Sweden)

    Ahmed Abou Elfetouh Saleh

    2011-03-01

    Full Text Available In the molecular era the management of cancer is no more a plan based on simple guidelines. Clinical findings, tumor characteristics, and molecular markers are integrated to identify different risk categories, based on which treatment is planned for each individual case. This paper aims at developing a fuzzy decision support system (DSS to guide the doctors for the risk stratification of breast cancer, which is expected to have a great impact on treatment decision and to minimize individual variations in selecting the optimal treatment for a particular case. The developed system was based on clinical practice of Oncology Center Mansoura University (OCMU. This system has six input variables (Her2, hormone receptors, age, tumor grade, tumor size, and lymph node and one output variable (risk status. The output variable is a value from 1 to 4; representing low risk status, intermediate risk status and high risk status. This system uses Mamdani inference method and simulation applied in MATLAB R2009b fuzzy logic toolbox.

  18. Multi-criteria evaluation methods in the production scheduling

    Science.gov (United States)

    Kalinowski, K.; Krenczyk, D.; Paprocka, I.; Kempa, W.; Grabowik, C.

    2016-08-01

    The paper presents a discussion on the practical application of different methods of multi-criteria evaluation in the process of scheduling in manufacturing systems. Among the methods two main groups are specified: methods based on the distance function (using metacriterion) and methods that create a Pareto set of possible solutions. The basic criteria used for scheduling were also described. The overall procedure of evaluation process in production scheduling was presented. It takes into account the actions in the whole scheduling process and human decision maker (HDM) participation. The specified HDM decisions are related to creating and editing a set of evaluation criteria, selection of multi-criteria evaluation method, interaction in the searching process, using informal criteria and making final changes in the schedule for implementation. According to need, process scheduling may be completely or partially automated. Full automatization is possible in case of metacriterion based objective function and if Pareto set is selected - the final decision has to be done by HDM.

  19. IMPLEMENTATION OF FUZZY MULTI OBJECTIVE LINEAR PROGRAMMING FOR DECISION MAKING AND PLANNING UNDER UNCERTAINTY

    OpenAIRE

    C. Kavitha; C.VIJAYALAKSHMI

    2013-01-01

    This paper proposes a new hybrid algorithm for supplier selection and evaluation for quantitative, qualitative factors in supply chain management. Supplier selection and evaluation is formulated byintegrating Multi-criteria decision making approach such as Analytic hierarchy process (AHP) improved by Rough set theory, Technique for order performance by similarity to ideal solution (TOPSIS) to rankthe suppliers based on their overall performances and to allocate orders to the suppliers, to max...

  20. AN APPROACH TO GROUP DECISION MAKING BASED ON INTERVAL FUZZY PREFERENCE RELATIONS

    Institute of Scientific and Technical Information of China (English)

    Yunliang JIANG

    2007-01-01

    In this paper,we investigate group decision making problems where the decision information given by decision makers takes the form of interval fuzzy preference relations.We first give an index to measure the similarity degree of two interval fuzzy preference relations,and utilize the similarity index to check the consistency degree of group opinion.Furthermore,we use the error-propagation principle to determine the priority vector of the aggregated matrix,and then develop an approach to group decision making based on interval fuzzy preference relations.Finally,we give an example to illustrate the developed approach.

  1. Fuzzy-rough set and fuzzy ID3 decision approaches to knowledge discovery in datasets

    Directory of Open Access Journals (Sweden)

    O. G. Elbarbary

    2012-07-01

    Full Text Available Fuzzy rough sets are the generalization of traditional rough sets to deal with both fuzziness and vagueness in data. The existing researches on fuzzy rough sets mainly concentrate on the construction of approximation operators. Less effort has been put on the knowledge discovery in datasets with fuzzy rough sets. This paper mainly focuses on knowledge discovery in datasets with fuzzy rough sets. After analyzing the previous works on knowledge discovery with fuzzy rough sets, we introduce formal concepts of attribute reduction with fuzzy rough sets and completely study the structure of attribute reduction.

  2. The significance of multi-criteria decision analysis for the bundle treatment of severe pneumonia%多准则决策分析在重症肺炎集束化治疗中的意义

    Institute of Scientific and Technical Information of China (English)

    徐俊马; 赵杰; 贾晓民; 王海清; 王刚; 李海泉

    2015-01-01

    ObjectiveTo determine the effect of multi-criteria decision analysis (MCDA) on the effect of bundle treatment for severe pneumonia.Methods A prospective historical control observation was conducted. Seventy-five patients with severe pneumonia having received MCDA (from January 2013 to August 2014) were assigned as intervention group. MCDA group was set up by the medical staff. Bundled treatment plan was composed of the MCDA evaluation results, anti-infection, phlegm and other conventional treatment measures which was adjust on time until the patient was transferred out of the respiratory intensive care unit (RICU) or died. Seventy patients with severe pneumonia before receiving MCDA (from August 2010 to December 2012) were set as historical control group. Comparison of general condition before treatment and the incidence of hospital infection, average hospitalization cost, duration of RICU stay and mortality between these two groups were performed.Results There were no statistically significant differences in gender, age, past history, and acute physiology and chronic health evaluationⅡ (APACHEⅡ) score at admission between two groups. Compared with control group, the incidence of hospital infection [1.33% (1/75) vs. 11.43% (8/70),χ2 = 4.723,P = 0.030], mean hospitalization cost in RICU (10 thousand Yuan: 3.44±0.79 vs. 3.76±0.91,t = 2.265, P = 0.025), length of RICU stay (days: 15.01±4.22 vs. 16.92±4.79,t = 2.552,P = 0.012) and mortality in RICU [8.0% (6/75) vs. 21.4% (15/70),χ2 = 5.272,P = 0.032] in intervention group was significantly decreased. Conclusions Application of MCDA in the bundle treatment of severe pneumonia could elevate the scientificalness of decision, and reduce the medical cost. Additionally, MCDA is worth to be generalized because the implementation of guidelines can improve the clinical outcome and prognosis of the patients.%目的:探讨多准则决策分析(MCDA)在重症肺炎集束化治疗中的作用。方法采用与历

  3. Multiple Attribute Decision Making Based on Hesitant Fuzzy Einstein Geometric Aggregation Operators

    Directory of Open Access Journals (Sweden)

    Xiaoqiang Zhou

    2014-01-01

    Full Text Available We first define an accuracy function of hesitant fuzzy elements (HFEs and develop a new method to compare two HFEs. Then, based on Einstein operators, we give some new operational laws on HFEs and some desirable properties of these operations. We also develop several new hesitant fuzzy aggregation operators, including the hesitant fuzzy Einstein weighted geometric (HFEWGε operator and the hesitant fuzzy Einstein ordered weighted geometric (HFEWGε operator, which are the extensions of the weighted geometric operator and the ordered weighted geometric (OWG operator with hesitant fuzzy information, respectively. Furthermore, we establish the connections between the proposed and the existing hesitant fuzzy aggregation operators and discuss various properties of the proposed operators. Finally, we apply the HFEWGε operator to solve the hesitant fuzzy decision making problems.

  4. A Novel Multicriteria Group Decision Making Approach With Intuitionistic Fuzzy SIR Method

    CERN Document Server

    Chai, Junyi

    2011-01-01

    The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an important extension of fuzzy sets (IFs), include both membership functions and non-membership functions and can be used to, more precisely describe uncertain information. In real world, decision situations are usually under uncertain environment and involve multiple individuals who have their own points of view on handing of decision problems. In order to solve uncertainty group MCDM problem, we propose a novel intuitionistic fuzzy SIR method in this paper. This approach uses intuitionistic fuzzy aggregation operators and SIR ranking methods to handle uncertain information; integrate individual opinions into group opinions; make decisions on multiple-criterion; and finally structure a specific decision map. The proposed approach is illustrated in a simulation of group decision ma...

  5. Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory

    Directory of Open Access Journals (Sweden)

    P. Shanmugasundaram

    2014-01-01

    Full Text Available In this paper a revised Intuitionistic Fuzzy Max-Min Average Composition Method is proposed to construct the decision method for the selection of the professional students based on their skills by the recruiters using the operations of Intuitionistic Fuzzy Soft Matrices. In Shanmugasundaram et al. (2014, Intuitionistic Fuzzy Max-Min Average Composition Method was introduced and applied in Medical diagnosis problem. Sanchez’s approach (Sanchez (1979 for decision making is studied and the concept is modified for the application of Intuitionistic fuzzy soft set theory. Through a survey, the opportunities and selection of the students with the help of Intuitionistic fuzzy soft matrix operations along with Intuitionistic fuzzy max-min average composition method is discussed.

  6. Developing a Virtual Group Decision Support System Based on Fuzzy Hybrid MCDM Approach

    Directory of Open Access Journals (Sweden)

    Bahram Izadi

    2013-01-01

    Full Text Available Organizational decisions involve with unusually vague and conflicting criteria. This controversy increases empirical uncertainties, disputes, and the resulting consequences of these decisions. One possible method in subduing this problem is to apply quantitative approaches to provide a transparent process for resolute conclusions which enables decision makers to formulate accurate and decisive on time decisions. Although numerous methods are presented in the literature, the majority of them aim to develop theoretical models. However, this article aims to develop and implement an integrated fuzzy virtual MCDM model based on fuzzy AHP and fuzzy TOPSIS as a decision support system (DDS. Preventing disadvantageous face-to-face decision-making by achieving positive benefit from virtual decision making causes the proposed DDS to be suitable for making crucial decisions such as supplier selection, employee selection, employee appraisal, R&D project selection, etc. The proposed DDS has been implemented in an optical company in Iran.

  7. A Simplified Version of the Fuzzy Decision Method and its Comparison with the Paraconsistent Decision Method

    Science.gov (United States)

    de Carvalho, Fábio Romeu; Abe, Jair Minoro

    2010-11-01

    Two recent non-classical logics have been used to make decision: fuzzy logic and paraconsistent annotated evidential logic Et. In this paper we present a simplified version of the fuzzy decision method and its comparison with the paraconsistent one. Paraconsistent annotated evidential logic Et, introduced by Da Costa, Vago and Subrahmanian (1991), is capable of handling uncertain and contradictory data without becoming trivial. It has been used in many applications such as information technology, robotics, artificial intelligence, production engineering, decision making etc. Intuitively, one Et logic formula is type p(a, b), in which a and b belong to [0, 1] (real interval) and represent respectively the degree of favorable evidence (or degree of belief) and the degree of contrary evidence (or degree of disbelief) found in p. The set of all pairs (a; b), called annotations, when plotted, form the Cartesian Unitary Square (CUS). This set, containing a similar order relation of real number, comprises a network, called lattice of the annotations. Fuzzy logic was introduced by Zadeh (1965). It tries to systematize the knowledge study, searching mainly to study the fuzzy knowledge (you don't know what it means) and distinguish it from the imprecise one (you know what it means, but you don't know its exact value). This logic is similar to paraconsistent annotated one, since it attributes a numeric value (only one, not two values) to each proposition (then we can say that it is an one-valued logic). This number translates the intensity (the degree) with which the preposition is true. Let's X a set and A, a subset of X, identified by the function f(x). For each element x∈X, you have y = f(x)∈[0, 1]. The number y is called degree of pertinence of x in A. Decision making theories based on these logics have shown to be powerful in many aspects regarding more traditional methods, like the one based on Statistics. In this paper we present a first study for a simplified

  8. A multi-criteria approach for assessing options to remediate arsenic in drinking water.

    Science.gov (United States)

    Ellis, Bryan; Garelick, Hemda

    2008-01-01

    The identification of best practice technologies to remediate arsenic-enriched drinking water involves the resolution of several technical, environmental, economic, and social factors. Multi-criteria analysis (MCA) provides a procedure to sort through diverse influencing factors as a means of facilitating the stakeholder decision-making process. The primary key MCA criteria used to define arsenic treatment options are expressed as source-exposure vector, health risk, cost, social acceptance, and technical competency. MCA not only can handle a complex mix of quantitative and qualitative information but also fosters means to resolve conflicting stakeholder opinion (or strategies). The MCA procedure involves construction of a performance matrix from utility scores for each key performance indicator (KPIs) that may influence outcomes. Data in the performance matrix are converted into numerical values through application of a specific utility scale scoring and weighting technique for each criterion. Inspection of the performance matrix scores facilitates decision making because they summarize arsenic treatment options numerically for all important criteria and KPIs. The weighting procedure enables stakeholder preferences (or strategies) to be incorporated into the selection process. Given the "fuzzy logic" nature of the KPI information, uncertainty may influence data outcome; this can be addressed by using an outranking procedure such as ELECTRE III or a simpler "swing" pairwise preference method. Sensitivity analysis can also be performed by reiterating the analysis using different utility scores and/or weights to assess influence on performance matrix outcomes. This approach enables the MCA methodology to be used as a negotiating tool in the decision-making process and allows areas of stakeholder agreement and disagreement to be highlighted.

  9. Pricing Decisions of a Two-Echelon Supply Chain in Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    Jie Wei

    2013-01-01

    Full Text Available Pricing decisions of a two-echelon supply chain with one manufacturer and duopolistic retailers in fuzzy environment are considered in this paper. The manufacturer produces a product and sells it to the two retailers, who in turn retail it to end customers. The fuzziness is associated with the customers’ demand and the manufacturing cost. The purpose of this paper is to analyze the effect of two retailers’ different pricing strategies on the optimal pricing decisions of the manufacturer and the two retailers themselves in MS Game scenario. As a reference model, the centralized decision scenario is also considered. The closed-form optimal pricing decisions of the manufacturer and the two retailers are derived in the above decision scenarios. Some insights into how pricing decisions vary with decision scenarios and the two retailers’ pricing strategies in fuzzy environment are also investigated, which can serve as the basis for empirical study in the future.

  10. A cloud-based fuzzy approach for spatial site selection in decision support system

    Institute of Scientific and Technical Information of China (English)

    FU Xiao-xi; Byeong-Seob You; XIA Ying; Gyung-Bae Kim; Hae-Young Bae

    2007-01-01

    In decision support system for spatial site selection, the fuzzy synthetic evaluation is a useful way. However, the method can't pay attention to the randomness in factors. To remedy the problem, this paper proposes a clouded-base fuzzy approach which combines advantages of cloud transform and fuzzy synthetic evaluation. The cloud transform considers the randomness in the factors and product the higher concept layer for data mining. At the same time, the check mechanism controls the quality of partitions in factors. Then the fuzzy approach was used to get final evaluation value with randomness and fuzziness. It make the final result is optimization. Finally, performance evaluations show that this approach spent less runtime and got more accuracy than the fuzzy synthetic. The experiments prove that the proposed method is faster and more accuracy than the original method.

  11. Pricing and Warranty Decisions of Substitutable Products for a Fuzzy Two-Echelon Supply Chain

    National Research Council Canada - National Science Library

    Wang, Yongzhao

    2017-01-01

      This paper considers the optimal decisions of pricing and warranty level for substitutable products in a fuzzy supply chain environment, where the consumer demands, manufacturing costs, and warranty...

  12. PERFORMANCE EVALUATION OF C-FUZZY DECISION TREE BASED IDS WITH DIFFERENT DISTANCE MEASURES

    Directory of Open Access Journals (Sweden)

    Vinayak Mantoor

    2012-01-01

    Full Text Available With the ever-increasing growth of computer networks and emergence of electronic commerce in recent years, computer security has become a priority. Intrusion detection system (IDS is often used as another wall of protection in addition to intrusion prevention techniques. This paper introduces a concept and design of decision trees based on Fuzzy clustering. Fuzzy clustering is the core functional part of the overall decision tree development and the developed tree will be referred to as C-fuzzy decision trees. Distance measure plays an important role in clustering data points. Choosing the right distance measure for a given dataset is a non-trivial problem. In this paper, we study the performance of C-fuzzy decision tree based IDS with different distance measures. We analyzed the results of our study using KDD Cup 1999 data and compared the accuracy of the classifier with different distance measures.

  13. Fuzzy rule-based models for decision support in ecosystem management.

    Science.gov (United States)

    Adriaenssens, Veronique; De Baets, Bernard; Goethals, Peter L M; De Pauw, Niels

    2004-02-05

    To facilitate decision support in the ecosystem management, ecological expertise and site-specific data need to be integrated. Fuzzy logic can deal with highly variable, linguistic, vague and uncertain data or knowledge and, therefore, has the ability to allow for a logical, reliable and transparent information stream from data collection down to data usage in decision-making. Several environmental applications already implicate the use of fuzzy logic. Most of these applications have been set up by trial and error and are mainly limited to the domain of environmental assessment. In this article, applications of fuzzy logic for decision support in ecosystem management are reviewed and assessed, with an emphasis on rule-based models. In particular, the identification, optimisation, validation, the interpretability and uncertainty aspects of fuzzy rule-based models for decision support in ecosystem management are discussed.

  14. Fuzzy inference game approach to uncertainty in business decisions and market competitions.

    Science.gov (United States)

    Oderanti, Festus Oluseyi

    2013-01-01

    The increasing challenges and complexity of business environments are making business decisions and operations more difficult for entrepreneurs to predict the outcomes of these processes. Therefore, we developed a decision support scheme that could be used and adapted to various business decision processes. These involve decisions that are made under uncertain situations such as business competition in the market or wage negotiation within a firm. The scheme uses game strategies and fuzzy inference concepts to effectively grasp the variables in these uncertain situations. The games are played between human and fuzzy players. The accuracy of the fuzzy rule base and the game strategies help to mitigate the adverse effects that a business may suffer from these uncertain factors. We also introduced learning which enables the fuzzy player to adapt over time. We tested this scheme in different scenarios and discover that it could be an invaluable tool in the hand of entrepreneurs that are operating under uncertain and competitive business environments.

  15. Cloud E-Learning Service Strategies for Improving E-Learning Innovation Performance in a Fuzzy Environment by Using a New Hybrid Fuzzy Multiple Attribute Decision-Making Model

    Science.gov (United States)

    Su, Chiu Hung; Tzeng, Gwo-Hshiung; Hu, Shu-Kung

    2016-01-01

    The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the…

  16. Consistent linguistic fuzzy preference relations method with ranking fuzzy numbers

    Science.gov (United States)

    Ridzuan, Siti Amnah Mohd; Mohamad, Daud; Kamis, Nor Hanimah

    2014-12-01

    Multi-Criteria Decision Making (MCDM) methods have been developed to help decision makers in selecting the best criteria or alternatives from the options given. One of the well known methods in MCDM is the Consistent Fuzzy Preference Relation (CFPR) method, essentially utilizes a pairwise comparison approach. This method was later improved to cater subjectivity in the data by using fuzzy set, known as the Consistent Linguistic Fuzzy Preference Relations (CLFPR). The CLFPR method uses the additive transitivity property in the evaluation of pairwise comparison matrices. However, the calculation involved is lengthy and cumbersome. To overcome this problem, a method of defuzzification was introduced by researchers. Nevertheless, the defuzzification process has a major setback where some information may lose due to the simplification process. In this paper, we propose a method of CLFPR that preserves the fuzzy numbers form throughout the process. In obtaining the desired ordering result, a method of ranking fuzzy numbers is utilized in the procedure. This improved procedure for CLFPR is implemented to a case study to verify its effectiveness. This method is useful for solving decision making problems and can be applied to many areas of applications.

  17. Establishing politically feasible water markets: a multi-criteria approach.

    Science.gov (United States)

    Ballestero, Enrique; Alarcón, Silverio; García-Bernabeu, Ana

    2002-08-01

    A multiple criteria decision-making (MCDM) model to simulate the establishment of water markets is developed. The environment is an irrigated area governed by a non-profit agency, which is responsible for water production, allocation, and pricing. There is a traditional situation of historical rights, average-cost pricing for water allocation, large quantities of water used, and inefficiency. A market-oriented policy could be implemented by accounting for ecological and political objectives such as saving groundwater and safeguarding historical rights while promoting economic efficiency. In this paper, a problem is solved by compromise programming, a multi-criteria technique based on the principles of Simonian logic. The model is theoretically developed and applied to the Lorca region in Spain near the Mediterranean Sea.

  18. Multi-criteria appraisal of multi-modal urban public transport systems

    NARCIS (Netherlands)

    Keyvan Ekbatani, M.; Cats, O.

    2015-01-01

    This study proposes a multi-criteria decision making (MCDM) modelling framework for the appraisal of multi-modal urban public transportation services. MCDM is commonly used to obtain choice alternatives that satisfy a range of performance indicators. The framework embraces both compensatory and

  19. Ranking alternatives based on imprecise multi-criteria data and pairwise overlap dominance relations

    DEFF Research Database (Denmark)

    Franco de los Rios, Camilo Andres; Hougaard, Jens Leth; Nielsen, Kurt

    This paper explores a multi-criteria outranking methodology that is designed to both handle uncertain and imprecise data in describing alternatives as well as treating the decision maker's preference information in a sensible way that re flects the difficulties in articulating preferences. Based ...

  20. Discrepancies between selected Pareto optimal plans and final deliverable plans in radiotherapy multi-criteria optimization.

    Science.gov (United States)

    Kyroudi, Archonteia; Petersson, Kristoffer; Ghandour, Sarah; Pachoud, Marc; Matzinger, Oscar; Ozsahin, Mahmut; Bourhis, Jean; Bochud, François; Moeckli, Raphaël

    2016-08-01

    Multi-criteria optimization provides decision makers with a range of clinical choices through Pareto plans that can be explored during real time navigation and then converted into deliverable plans. Our study shows that dosimetric differences can arise between the two steps, which could compromise the clinical choices made during navigation.

  1. Multi-criteria appraisal of multi-modal urban public transport systems

    NARCIS (Netherlands)

    Keyvan Ekbatani, M.; Cats, O.

    2015-01-01

    This study proposes a multi-criteria decision making (MCDM) modelling framework for the appraisal of multi-modal urban public transportation services. MCDM is commonly used to obtain choice alternatives that satisfy a range of performance indicators. The framework embraces both compensatory and non-

  2. Learning preferences and attitudes by multi-criteria overlap dominance and relevance functions

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2017-01-01

    This paper proposes an interval-valued multi-criteria method for learning preferences and attitudes, identifying priorities with maximal robustness for decision support. The method is based on the notion of weighted overlap dominance, formalized by means of aggregation operators and interval-valu...

  3. Novel combinatorial algorithm for the problems of fuzzy grey multi-attribute group decision making

    Institute of Scientific and Technical Information of China (English)

    Rao Congjun; Xiao Xinping; Peng Jin

    2007-01-01

    To study the fuzzy and grey information in the problems of multi-attribute group decision making, the basic concepts of both fuzzy grey numbers and grey interval numbers are given firstly, then a new model of fuzzy grey multi-attribute group decision making based on the theories of fuzzy mathematics and grey system is presented. Furthermore, the grey interval relative degree and deviation degree is defined, and both the optimistic algorithm of the grey interval relational degree and the algorithm of deviation degree minimization for solving this new model are also given. Finally, a decision making example to demonstrate the feasibility and rationality of this new method is given, and the results by using these two algorithms are uniform.

  4. A Synergistic Effect in the Measurement of Neuro-Fuzzy System

    Directory of Open Access Journals (Sweden)

    Gorbachev Sergey

    2016-01-01

    Full Text Available We consider a new type of hybrid neuro-fuzzy system based on fuzzy and neural computing in hierarchical sequential structure, the total effect exceeds the effect of each component separately. The proposed system can be applied to multi-criteria analysis, automatic classification on signs and obtain evidence-based estimates of the efficiency of scientific and technical solutions and technologies, engineering and robotics. An example of a neuro-fuzzy system measuring the intensity of the emotions of a robot, with the extraction of diagnostic decision rules “If & then”.

  5. The coordinating contracts of supply chain in a fuzzy decision environment.

    Science.gov (United States)

    Sang, Shengju

    2016-01-01

    The rapid change of the product life cycle is making the parameters of the supply chain models more and more uncertain. Therefore, we consider the coordination mechanisms between one manufacturer and one retailer in a fuzzy decision marking environment, where the parameters of the models can be forecasted and expressed as the triangular fuzzy variables. The centralized decision-making system, two types of supply chain contracts, namely, the revenue sharing contract and the return contract are proposed. To obtain their optimal policies, the fuzzy set theory is adopted to solve these fuzzy models. Finally, three numerical examples are provided to analyze the impacts of the fuzziness of the market demand, retail price and salvage value of the product on the optimal solutions in two contracts. It shows that in order to obtain more fuzzy expected profits the retailer and the manufacturer should seek as low fuzziness of demand, high fuzziness of the retail price and the salvage value as possible in both contracts.

  6. Determination of criteria weights in solving multi-criteria problems

    Science.gov (United States)

    Kasim, Maznah Mat

    2014-12-01

    A multi-criteria (MC) problem comprises of units to be analyzed under a set of evaluation criteria. Solving a MC problem is basically the process of finding the overall performance or overall quality of the units of analysis by using certain aggregation method. Based on these overall measures of each unit, a decision can be made whether to sort them, to select the best or to group them according to certain ranges. Prior to solving the MC problems, the weights of the related criteria have to be determined with the assumption that the weights represent the degree of importance or the degree of contribution towards the overall performance of the units. This paper presents two main approaches which are called as subjective and objective approaches, where the first one involves evaluator(s) while the latter approach depends on the intrinsic information contained in each criterion. The subjective and objective weights are defined if the criteria are assumed to be independent with each other, but if they are dependent, there is another type of weight, which is called as monotone measure weight or compound weights which represent degree of interaction among the criteria. The measure of individual weights or compound weights must be addressed in solving multi-criteria problems so that the solutions are more reliable since in the real world, evaluation criteria always come with different degree of importance or are dependent with each other. As the real MC problems have their own uniqueness, it is up to the decision maker(s) to decide which type of weights and which method are the most applicable ones for the problem under study.

  7. Fuzzy methods in decision making process - A particular approach in manufacturing systems

    Science.gov (United States)

    Coroiu, A. M.

    2015-11-01

    We are living in a competitive environment, so we can see and understand that the most of manufacturing firms do the best in order to accomplish meeting demand, increasing quality, decreasing costs, and delivery rate. In present a stake point of interest is represented by the development of fuzzy technology. A particular approach for this is represented through the development of methodologies to enhance the ability to managed complicated optimization and decision making aspects involving non-probabilistic uncertainty with the reason to understand, development, and practice the fuzzy technologies to be used in fields such as economic, engineering, management, and societal problems. Fuzzy analysis represents a method for solving problems which are related to uncertainty and vagueness; it is used in multiple areas, such as engineering and has applications in decision making problems, planning and production. As a definition for decision making process we can use the next one: result of mental processes based upon cognitive process with a main role in the selection of a course of action among several alternatives. Every process of decision making can be represented as a result of a final choice and the output can be represented as an action or as an opinion of choice. Different types of uncertainty can be discovered in a wide variety of optimization and decision making problems related to planning and operation of power systems and subsystems. The mixture of the uncertainty factor in the construction of different models serves for increasing their adequacy and, as a result, the reliability and factual efficiency of decisions based on their analysis. Another definition of decision making process which came to illustrate and sustain the necessity of using fuzzy method: the decision making is an approach of choosing a strategy among many different projects in order to achieve some purposes and is formulated as three different models: high risk decision, usual risk

  8. Applications of multi-criteria and game theory approaches manufacturing and logistics

    CERN Document Server

    Hennet, Jean-Claude; Tiwari, Manoj

    2014-01-01

    Aligning the latest practices, innovations and case studies with academic frameworks and theories, the broad area of multi-criteria and game theory applications in manufacturing and logistics is covered in comprehensive details. Part 1 presents ‘multi-criteria applications’ and includes chapters on  logistics with a focus on vehicle routing problems, a multi-objective decision making approach to select the best storage policy and an exploratory study to predict the most important factors that can lead to successful mobile supply chain management adoption for manufacturing firms. Part 2 covers ‘game theory applications’ and encompasses the process of forming a coalition within a corporate network to the problem of integrating inventory and distribution optimization together with game theory to effectively manage supply networks. Providing a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of multi-criteria and game theory applications in manufacturing and l...

  9. A Novel Method for Multiattribute Decision Making with Dual Hesitant Fuzzy Triangular Linguistic Information

    Directory of Open Access Journals (Sweden)

    Yanbing Ju

    2014-01-01

    Full Text Available This paper studies the multiattribute decision making (MADM problems in which the attribute values take the form of dual hesitant fuzzy triangular linguistic elements and the weights of attributes take the form of real numbers. Firstly, to solve the situation where the membership degree and the nonmembership degree of an element to a triangular linguistic variable, the concept, operational laws, score function, and accuracy function of dual hesitant fuzzy triangular linguistic elements (DHFTLEs are defined. Then, some dual hesitant fuzzy triangular linguistic geometric aggregation operators are developed for aggregating the DHFTLEs, including dual hesitant fuzzy triangular linguistic weighted geometric (DHFTLWG operator, dual hesitant fuzzy triangular linguistic ordered weighted geometric (DHFTLOWG operator, dual hesitant fuzzy triangular linguistic hybrid geometric (DHFTLHG operator, generalized dual hesitant fuzzy triangular linguistic weighted geometric (GDHFTLWG operator, and generalized dual hesitant fuzzy triangular linguistic ordered weighted geometric (GDHFTLOWG operator. Furthermore, some desirable properties of these operators are investigated in detail. Based on the proposed operators, an approach to MADM with dual hesitant fuzzy triangular linguistic information is proposed. Finally, a numerical example for investment alternative selection is given to illustrate the application of the proposed method.

  10. An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems.

    Science.gov (United States)

    Uzoka, Faith-Michael Emeka; Obot, Okure; Barker, Ken; Osuji, J

    2011-07-01

    The task of medical diagnosis is a complex one, considering the level vagueness and uncertainty management, especially when the disease has multiple symptoms. A number of researchers have utilized the fuzzy-analytic hierarchy process (fuzzy-AHP) methodology in handling imprecise data in medical diagnosis and therapy. The fuzzy logic is able to handle vagueness and unstructuredness in decision making, while the AHP has the ability to carry out pairwise comparison of decision elements in order to determine their importance in the decision process. This study attempts to do a case comparison of the fuzzy and AHP methods in the development of medical diagnosis system, which involves basic symptoms elicitation and analysis. The results of the study indicate a non-statistically significant relative superiority of the fuzzy technology over the AHP technology. Data collected from 30 malaria patients were used to diagnose using AHP and fuzzy logic independent of one another. The results were compared and found to covary strongly. It was also discovered from the results of fuzzy logic diagnosis covary a little bit more strongly to the conventional diagnosis results than that of AHP.

  11. Continuous Hesitant Fuzzy Aggregation Operators and Their Application to Decision Making under Interval-Valued Hesitant Fuzzy Setting

    Directory of Open Access Journals (Sweden)

    Ding-Hong Peng

    2014-01-01

    Full Text Available Interval-valued hesitant fuzzy set (IVHFS, which is the further generalization of hesitant fuzzy set, can overcome the barrier that the precise membership degrees are sometimes hard to be specified and permit the membership degrees of an element to a set to have a few different interval values. To efficiently and effectively aggregate the interval-valued hesitant fuzzy information, in this paper, we investigate the continuous hesitant fuzzy aggregation operators with the aid of continuous OWA operator; the C-HFOWA operator and C-HFOWG operator are presented and their essential properties are studied in detail. Then, we extend the C-HFOW operators to aggregate multiple interval-valued hesitant fuzzy elements and then develop the weighted C-HFOW (WC-HFOWA and WC-HFOWG operators, the ordered weighted C-HFOW (OWC-HFOWA and OWC-HFOWG operators, and the synergetic weighted C-HFOWA (SWC-HFOWA and SWC-HFOWG operators; some properties are also discussed to support them. Furthermore, a SWC-HFOW operators-based approach for multicriteria decision making problem is developed. Finally, a practical example involving the evaluation of service quality of high-tech enterprises is carried out and some comparative analyses are performed to demonstrate the applicability and effectiveness of the developed approaches.

  12. Continuous hesitant fuzzy aggregation operators and their application to decision making under interval-valued hesitant fuzzy setting.

    Science.gov (United States)

    Peng, Ding-Hong; Wang, Tie-Dan; Gao, Chang-Yuan; Wang, Hua

    2014-01-01

    Interval-valued hesitant fuzzy set (IVHFS), which is the further generalization of hesitant fuzzy set, can overcome the barrier that the precise membership degrees are sometimes hard to be specified and permit the membership degrees of an element to a set to have a few different interval values. To efficiently and effectively aggregate the interval-valued hesitant fuzzy information, in this paper, we investigate the continuous hesitant fuzzy aggregation operators with the aid of continuous OWA operator; the C-HFOWA operator and C-HFOWG operator are presented and their essential properties are studied in detail. Then, we extend the C-HFOW operators to aggregate multiple interval-valued hesitant fuzzy elements and then develop the weighted C-HFOW (WC-HFOWA and WC-HFOWG) operators, the ordered weighted C-HFOW (OWC-HFOWA and OWC-HFOWG) operators, and the synergetic weighted C-HFOWA (SWC-HFOWA and SWC-HFOWG) operators; some properties are also discussed to support them. Furthermore, a SWC-HFOW operators-based approach for multicriteria decision making problem is developed. Finally, a practical example involving the evaluation of service quality of high-tech enterprises is carried out and some comparative analyses are performed to demonstrate the applicability and effectiveness of the developed approaches.

  13. An expert-based approach to forest road network planning by combining Delphi and spatial multi-criteria evaluation.

    Science.gov (United States)

    Hayati, Elyas; Majnounian, Baris; Abdi, Ehsan; Sessions, John; Makhdoum, Majid

    2013-02-01

    Changes in forest landscapes resulting from road construction have increased remarkably in the last few years. On the other hand, the sustainable management of forest resources can only be achieved through a well-organized road network. In order to minimize the environmental impacts of forest roads, forest road managers must design the road network efficiently and environmentally as well. Efficient planning methodologies can assist forest road managers in considering the technical, economic, and environmental factors that affect forest road planning. This paper describes a three-stage methodology using the Delphi method for selecting the important criteria, the Analytic Hierarchy Process for obtaining the relative importance of the criteria, and finally, a spatial multi-criteria evaluation in a geographic information system (GIS) environment for identifying the lowest-impact road network alternative. Results of the Delphi method revealed that ground slope, lithology, distance from stream network, distance from faults, landslide susceptibility, erosion susceptibility, geology, and soil texture are the most important criteria for forest road planning in the study area. The suitability map for road planning was then obtained by combining the fuzzy map layers of these criteria with respect to their weights. Nine road network alternatives were designed using PEGGER, an ArcView GIS extension, and finally, their values were extracted from the suitability map. Results showed that the methodology was useful for identifying road that met environmental and cost considerations. Based on this work, we suggest future work in forest road planning using multi-criteria evaluation and decision making be considered in other regions and that the road planning criteria identified in this study may be useful.

  14. A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

    Directory of Open Access Journals (Sweden)

    Aytac Yildiz

    2013-06-01

    Full Text Available In this paper, we aim to select the most appropriate Hydrogen Energy Storage (HES method for Turkey from among the alternatives of tank, metal hydride and chemical storage, which are determined based on expert opinions and literature review. Thus, we propose a Buckley extension based fuzzy Analytical Hierarchical Process (Fuzzy-AHP and linear normalization based fuzzy Grey Relational Analysis (Fuzzy-GRA combined Multi Criteria Decision Making (MCDM methodology. This combined approach can be applied to a complex decision process, which often makes sense with subjective data or vague information; and used to solve to solve HES selection problem with different defuzzification methods. The proposed approach is unique both in the HES literature and the MCDM literature.

  15. Second decision-making method of the fuzzy optimal model and its application

    Institute of Scientific and Technical Information of China (English)

    刘金禄; 陈守煜

    2004-01-01

    In the process of concept design offshore platforms, it is necessary to select the best from feasible alternatives through comparison and filtering. Fuzzy optimal selection in multiple stages is an useful method in engineering decisionmaking, but in some cases, it is difficult to make a distinction between the first alternative and the second. Therefore it is necessary to improve the fuzzy optimal selection method with multiple stages. In this paper, using fuzzy cross iteration optimal modeling, the weight sensitivity analysis is made firstly. Then a second decision-making method to solve fuzzy optimal problems is proposed. Its basic principle is the inverse reasoning in mathematics. This method expands the applied range of fuzzy optimal selection. Finally this method is used in the concept design of offshore platform. A case study shows that this method is scientific, reasonable and easy to use in practice.

  16. Hesitant Fuzzy Thermodynamic Method for Emergency Decision Making Based on Prospect Theory.

    Science.gov (United States)

    Ren, Peijia; Xu, Zeshui; Hao, Zhinan

    2016-12-30

    Due to the timeliness of emergency response and much unknown information in emergency situations, this paper proposes a method to deal with the emergency decision making, which can comprehensively reflect the emergency decision making process. By utilizing the hesitant fuzzy elements to represent the fuzziness of the objects and the hesitant thought of the experts, this paper introduces the negative exponential function into the prospect theory so as to portray the psychological behaviors of the experts, which transforms the hesitant fuzzy decision matrix into the hesitant fuzzy prospect decision matrix (HFPDM) according to the expectation-levels. Then, this paper applies the energy and the entropy in thermodynamics to take the quantity and the quality of the decision values into account, and defines the thermodynamic decision making parameters based on the HFPDM. Accordingly, a whole procedure for emergency decision making is conducted. What is more, some experiments are designed to demonstrate and improve the validation of the emergency decision making procedure. Last but not the least, this paper makes a case study about the emergency decision making in the firing and exploding at Port Group in Tianjin Binhai New Area, which manifests the effectiveness and practicability of the proposed method.

  17. Fuzzy Comprehensive Evaluation for Decision Making of Water Saving Irrigation System

    Institute of Scientific and Technical Information of China (English)

    LuoJin-yao; QiuYuan-feng

    2003-01-01

    A model of fuzzy comprehensive evaluation for water saving irrigation system (WSIS) decision making is proposed based on establishing an index system affected by six kinds of basic factors including qualitative and quantitative indexes. The object function of WSIS is set up by using the concept of fuzzy membership degree, it is to transform characteristic vector matrix into unify membership matrix and extending the least square method to the least of weighted distance square. The optimum weighted membership degree and the inferior weighted membership degree are used to solve the object function. This method effective solves the problem of classify for fuzzy attributive indexes and the problem of optimum for the set of different attributive indexes. A case study shows that the fuzzy comprehensive evaluation model is reasonable and effective in decision making for water saving irrigation system planning.

  18. Fuzzy Comprehensive Evaluation for Decision Making of Water Saving Irrigation System

    Institute of Scientific and Technical Information of China (English)

    Luo Jin-yao; Qiu Yuan-feng

    2003-01-01

    A model of fuzzy comprehensive evaluation for water saving irrigation system (WSIS) decision making is proposed based on establishing an index system affected by six kinds of basic factors including qualitative and quantitative indexes. The object function of WSIS is set up by using the concept of fuzzy membership degree, it is to transform characteristic vector matrix into unify membership matrix and extending the least square method to the least of weighted dis tance square. The optimum weighted membership degree and the inferior weighted membership degree are used to solve the object function. This method effective solves the problem of classify for fuzzy attributive indexes and the problem of optimum for the set of different attributive indexes. A case study shows that the fuzzy comprehensive evaluation model is reasonable and effective in decision making for water saving irrigation system planning.

  19. Determining rules for closing customer service centers: A public utility company's fuzzy decision

    Science.gov (United States)

    Dekorvin, Andre; Shipley, Margaret F.; Lea, Robert N.

    1992-01-01

    In the present work, we consider the general problem of knowledge acquisition under uncertainty. Simply stated, the problem reduces to the following: how can we capture the knowledge of an expert when the expert is unable to clearly formulate how he or she arrives at a decision? A commonly used method is to learn by examples. We observe how the expert solves specific cases and from this infer some rules by which the decision may have been made. Unique to our work is the fuzzy set representation of the conditions or attributes upon which the expert may possibly base his fuzzy decision. From our examples, we infer certain and possible fuzzy rules for closing a customer service center and illustrate the importance of having the decision closely relate to the conditions under consideration.

  20. An Intuitionistic Fuzzy Logic Models for Multicriteria Decision Making Under Uncertainty

    Science.gov (United States)

    Jana, Biswajit; Mohanty, Sachi Nandan

    2016-06-01

    The purpose of this paper is to enhance the applicability of the fuzzy sets for developing mathematical models for decision making under uncertainty, In general a decision making process consist of four stages, namely collection of information from various sources, compile the information, execute the information and finally take the decision/action. Only fuzzy sets theory is capable to quantifying the linguistic expression to mathematical form in complex situation. Intuitionistic fuzzy set (IFSs) which reflects the fact that the degree of non membership is not always equal to one minus degree of membership. There may be some degree of hesitation. Thus, there are some situations where IFS theory provides a more meaningful and applicable to cope with imprecise information present for solving multiple criteria decision making problem. This paper emphasis on IFSs, which is help for solving real world problem in uncertainty situation.

  1. An Intuitionistic Fuzzy Logic Models for Multicriteria Decision Making Under Uncertainty

    Science.gov (United States)

    Jana, Biswajit; Mohanty, Sachi Nandan

    2017-04-01

    The purpose of this paper is to enhance the applicability of the fuzzy sets for developing mathematical models for decision making under uncertainty, In general a decision making process consist of four stages, namely collection of information from various sources, compile the information, execute the information and finally take the decision/action. Only fuzzy sets theory is capable to quantifying the linguistic expression to mathematical form in complex situation. Intuitionistic fuzzy set (IFSs) which reflects the fact that the degree of non membership is not always equal to one minus degree of membership. There may be some degree of hesitation. Thus, there are some situations where IFS theory provides a more meaningful and applicable to cope with imprecise information present for solving multiple criteria decision making problem. This paper emphasis on IFSs, which is help for solving real world problem in uncertainty situation.

  2. Application of fuzzy comprehensive evaluation to the decision making of coal enterprises on customer credit

    Energy Technology Data Exchange (ETDEWEB)

    Yu, H.; Zhu, Q.

    1996-04-01

    Using fuzzy mathematics, this paper describes the factors that affect the creditworthiness of the coal industry`s customers, and introduces the concept of fuzzy comprehensive evaluation to the assessment of customer`s creditworthiness. It is pointed out that the evaluating factors may vary according to the experience of the assessor and the economic situation of the industry, and the weighting of each factor may be determined by other methods and revised according to the actual circumstances. The software for fuzzy comprehensive evaluation is well tested, which makes the evaluation of customers and making decision relatively easy. 5 refs., 2 tabs.

  3. Fuzzy Decision Support in the Early Phases of the Fuzzy Front End of Innovation in Product Development

    DEFF Research Database (Denmark)

    Achiche, Sofiane; Appio, Francesco Paolo

    2010-01-01

    The innovation process may be divided into three areas: the fuzzy front end (FFE), the new product development (NPD) process, and commercialization. Every NPD process has a FFE in which products and projects are defined. Companies tend to begin the stages of FFE without a clear definition...... evaluation of the cost of their usage is very critical and there is also a need to characterize them in terms of their influence on the FFE. This paper focuses on decision support for managers/designers in their process of assessing the cost of choosing/using tools in the core front end activities, namely...... Opportunity Identification and Opportunity Analysis. This is achieved by analyzing the Influencing Factors (Firm context, Industry context, Macro environment) along with data collection from managers followed by the automatic construction of fuzzy decision support models (FDSM) of the discovered relationships...

  4. Study on Fuzzy Decision for Purchasing Spare Parts for Machinery Equipment

    Institute of Scientific and Technical Information of China (English)

    YANG Cheng-xian; ZHANG Qi

    2003-01-01

    For purchasing spare parts for machinery products, the general principle, procedure and method are put forward in the paper. Fuzzy theory and method are applied to set up a decisive model for purchasing spare parts. By working out the kinds and quantities of spare parts, the purchase of parts is provided with scientific decision.

  5. Fuzzy model of the computer integrated decision support and management system in mineral processing

    OpenAIRE

    Miljanović Igor; Vujić Slobodan

    2008-01-01

    During the research on the subject of computer integrated systems for decision making and management support in mineral processing based on fuzzy logic, realized at the Department of Applied Computing and System Engineering of the Faculty of Mining and Geology, University of Belgrade, for the needs of doctoral thesis of the first author, and wider demands of the mineral industry, the incompleteness of the developed and contemporary computer integrated systems fuzzy models was noticed. The pap...

  6. A fuzzy comprehensive evaluation and entropy weight decision ...

    African Journals Online (AJOL)

    ... the working load of staff members in some provincial power dispatching centers has ... The suitability of the dispatching right devolution for some parts of a power ... Key words: Dispatching right, power network structure, fuzzy comprehensive ...

  7. Fuzzy Neural Networks for Decision Support in Negotiation

    Science.gov (United States)

    Sakas, D. P.; Vlachos, D. S.; Simos, T. E.

    2008-11-01

    There is a large number of parameters which one can take into account when building a negotiation model. These parameters in general are uncertain, thus leading to models which represents them with fuzzy sets. On the other hand, the nature of these parameters makes them very difficult to model them with precise values. During negotiation, these parameters play an important role by altering the outcomes or changing the state of the negotiators. One reasonable way to model this procedure is to accept fuzzy relations (from theory or experience). The action of these relations to fuzzy sets, produce new fuzzy sets which describe now the new state of the system or the modified parameters. But, in the majority of these situations, the relations are multidimensional, leading to complicated models and exponentially increasing computational time. In this paper a solution to this problem is presented. The use of fuzzy neural networks is shown that it can substitute the use of fuzzy relations with comparable results. Finally a simple simulation is carried in order to test the new method.

  8. A new multi criteria classification approach in a multi agent system applied to SEEG analysis.

    Science.gov (United States)

    Kinié, A; Ndiaye, M; Montois, J J; Jacquelet, Y

    2007-01-01

    This work is focused on the study of the organization of the SEEG signals during epileptic seizures with multi-agent system approach. This approach is based on cooperative mechanisms of auto-organization at the micro level and of emergence of a global function at the macro level. In order to evaluate this approach we propose a distributed collaborative approach for the classification of the interesting signals. This new multi-criteria classification method is able to provide a relevant brain area structures organisation and to bring out epileptogenic networks elements. The method is compared to another classification approach a fuzzy classification and gives better results when applied to SEEG signals.

  9. TECHNICAL ANALYSIS OF FUZZY METAGRAPH BASED DECISION SUPPORT SYSTEM FOR CAPITAL MARKET

    Directory of Open Access Journals (Sweden)

    Anbalagan Thirunavukarasu

    2013-01-01

    Full Text Available This study proposes a Fuzzy Metagraph based Decision Support System (DSS for short term and long term investment in share market. This rule base decision system will help traders to make correct decision at very low risk. Relative Strength Index (RSI, Moving Average Convergence Divergence (MACD and WILLIAM- %R are some of the Technical Indicators which are used as input to train the system which is integrated with Fuzzy Metagraph. This approach of incorporating Fuzzy Metagraph with RSI, MACD and WILLIAM-%R would be a new attempt in decision making on share market investment. Stocks listed in Bombay Stock Exchange (BSE in India are used to evaluate the performance of the system. The results obtained from the proposed Fuzzy Metagraph based model are found to be satisfactory with very low risk. Three most used technical indicators MACD, RSI and WILLIAM-%R integrated with Fuzzy Metagraph are used to support the system. This method reduces the risk factor considerably for both short term and long term investors.

  10. The Interval-Valued Triangular Fuzzy Soft Set and Its Method of Dynamic Decision Making

    Directory of Open Access Journals (Sweden)

    Xiaoguo Chen

    2014-01-01

    Full Text Available A concept of interval-valued triangular fuzzy soft set is presented, and some operations of “AND,” “OR,” intersection, union and complement, and so forth are defined. Then some relative properties are discussed and several conclusions are drawn. A dynamic decision making model is built based on the definition of interval-valued triangular fuzzy soft set, in which period weight is determined by the exponential decay method. The arithmetic weighted average operator of interval-valued triangular fuzzy soft set is given by the aggregating thought, thereby aggregating interval-valued triangular fuzzy soft sets of different time-series into a collective interval-valued triangular fuzzy soft set. The formulas of selection and decision values of different objects are given; therefore the optimal decision making is achieved according to the decision values. Finally, the steps of this method are concluded, and one example is given to explain the application of the method.

  11. A fuzzy approach to a multiple criteria and geographical information system for decision support on suitable locations for biogas plants

    DEFF Research Database (Denmark)

    Franco de los Rios, Camilo Andres; Bojesen, Mikkel; Hougaard, Jens Leth

    The purpose of this paper is to model the multi-criteria decision problem of identifying the most suitable facility locations for biogas plants under an integrated decision support methodology. Here the Geographical Information System (GIS) is used for measuring the attributes of the alternatives...... can also be successfully applied over the outcomes of different decision makers, in case a unique social solution is required to exist. The proposed methodology can be used under an integrated decision support frame for identifying the most suitable locations for biogas facilities, taking into account...

  12. A Decision Making Method for the Quality Identification of Wines Based on Fuzzy Soft Sets

    Directory of Open Access Journals (Sweden)

    Yong-Wei Yang

    2014-03-01

    Full Text Available Quality identification of wines is a crucial one for wine industry. The paper aims to give a decision making approach based on soft fuzzy sets for it. First, based on fuzzy soft sets, calculation steps are given to solve decision making problems. The grey relative coefficient between each alternative with the ideal alternative is calculated by grey relational analysis (GRA. Then, a relative relational degree is defined to determine ranking orders of all alternatives. Finally, an application of our proposed approach demonstrates its practicality and effectiveness in the quality identification of red wines.

  13. An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness.

    Science.gov (United States)

    Nguyen, Huu-Tho; Dawal, Siti Zawiah Md; Nukman, Yusoff; Rifai, Achmad P; Aoyama, Hideki

    2016-01-01

    The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative criteria. This paper presents an integrated multi-criteria decision making (MCDM) model of a fuzzy AHP (analytic hierarchy process) and fuzzy ARAS (additive ratio assessment) for conveyor evaluation and selection. In this model, linguistic terms represented as triangular fuzzy numbers are used to quantify experts' uncertain assessments of alternatives with respect to the criteria. The fuzzy set is then integrated into the AHP to determine the weights of the criteria. Finally, a fuzzy ARAS is used to calculate the weights of the alternatives. To demonstrate the effectiveness of the proposed model, a case study is performed of a practical example, and the results obtained demonstrate practical potential for the implementation of FMCs.

  14. Fuzzy logics acquisition and simulation modules for expert systems to assist operator`s decision for nuclear power stations

    Energy Technology Data Exchange (ETDEWEB)

    Averkin, A.A. [Russian Academy of Sciences, Moscow (Russian Federation). Computer centre

    1994-12-31

    A new type of fuzzy expert system for assisting the operator`s decisions in nuclear power plant system in non-standard situations is proposed. This expert system is based on new approaches to fuzzy logics acquisition and to fuzzy logics testing. Fuzzy logics can be generated by a T-norms axiomatic system to choose the most suitable to operator`s way of thinking. Then the chosen fuzzy logic is tested by simulation of inference process in expert system. The designed logic is the input of inference module of expert system.

  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.

  16. 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. .

  17. Development of Multi-criteria Decision-making Model for Machinery Equipment Selection in Water Conservancy Project Construction%水利工程施工机械设备选型多目标决策模型及应用

    Institute of Scientific and Technical Information of China (English)

    陶少雄; 毛敏华; 黎咏梅

    2012-01-01

    为了在众多的水利施工机械设备中选择经济、环保、安全以及实用的设备,提出一种基于层次分析法(AHP)和灰色关联分析法(GCA)相结合的设备选择模型.首先建立由经济性、技术性、绿色性以及职业健康与安全性组成的设备选择的多目标指标体系,并对指标量化方法进行了研究,然后将层次分析法与灰色关联分析法相结合对设备选型模型进行了求解.实例分析验证了模型的可行性和有效性.%To help decision maker select the economic, green, safe and suitable machinery equipment in water conservancy project construction, a model based on Analytic Hierarchy Process (AHP) and Grey Correlation Analysis (GCA) method was presented. A decision-making multi -criteria index system comprising economy, technology, environmental impact and the occupation healthy security was established at first and do research on the indexes' quantification method. Use the method combined AHP with GCA to solve the model. An illustrative example is provided to validate the model's feasibility and validity.

  18. Hesitant Triangular Fuzzy Information Aggregation Operators Based on Bonferroni Means and Their Application to Multiple Attribute Decision Making

    Science.gov (United States)

    Zhou, Xiaoqiang; Yang, Tian

    2014-01-01

    We investigate the multiple attribute decision-making (MADM) problems with hesitant triangular fuzzy information. Firstly, definition and some operational laws of hesitant triangular fuzzy elements are introduced. Then, we develop some hesitant triangular fuzzy aggregation operators based on Bonferroni means and discuss their basic properties. Some existing operators can be viewed as their special cases. Next, we apply the proposed operators to deal with multiple attribute decision-making problems under hesitant triangular fuzzy environment. Finally, an illustrative example is given to show the developed method and demonstrate its practicality and effectiveness. PMID:25140338

  19. Bilevel Model for Pricing and Production Planning Decision with Fuzzy Parameters

    Institute of Scientific and Technical Information of China (English)

    HuijunSun; ZiyouGao

    2004-01-01

    With the deepen of market competition, product pricing and production decision problem in many firms have become more and more important. A bilevel model is proposed to describe the pricing and production decisions with fuzzy demand and fuzzy cost parameters. The upper level is to determine the optimal price and production quantity with capacity constraints. Using this information, the lower level problem tries to structure a response (the distribution pattern of customers (or markets)) that will satisfy his demand at minimum cost. And after transforming the fuzzy numbers into the crisp value by Graded Mean Integration Representation method, the solution algorithm based on difference method is given. Finally, the application of the model and its algorithm are illustrated with a simple example.

  20. Rank University Websites Using Fuzzy AHP and Fuzzy TOPSIS Approach on Usability

    Directory of Open Access Journals (Sweden)

    Renuka Nagpal

    2015-01-01

    Full Text Available With the advent of dynamic website usually all business processes of a business organization are linked with the website of the organization. This is resulted in designing of a complex and gigantic website which may result in slow download and unfriendly navigation. Satisfying the end user need is one of the key principles of designing an effective website. As there are different users for given website, hence there are different criteria on which user wants to get satisfied, hence evaluating a website is a multi-criteria decision making problem. In order to incorporate uncertainties and vagueness in decision making Fuzzy Analytic Hierarchy (FAHP approach is extended with Fuzzy TOPSIS approach, where different decision makers (DM's opinion was considered for ranking the website.

  1. Using Multi Criteria Evaluation in Forest resource conservation in ...

    African Journals Online (AJOL)

    Using Multi Criteria Evaluation in Forest resource conservation in Ghana: Spatially identifying vulnerable areas. ... Rwanda Journal ... induced depletion of forest resources by assessing risk factors of slope, roads and settlement data in Ghana.

  2. 社会责任投资视角下投资者多准则决策%Multi-criteria Decision-making Model for Social Organization Investors' Selection from Socially Responsible Investment Perspective

    Institute of Scientific and Technical Information of China (English)

    曹玉红; 尤建新; 王瑞

    2015-01-01

    从社会责任投资角度出发,建立一个基于可持续性平衡计分卡(balanced scorecard,BSC)的决策实验室—网络分析法(decision-making trial and evaluation laboratory-analytic network process,DEMATEL-ANP)多准则决策模型,并提出了基于该模型的投资者选择社会责任投资的思路及决策流程.最后,以上海某通讯公司选择社会责任投资为例,对BSC-DEMATEL-ANP模型进行了应用,证明了该模型的可行性和实用性.

  3. A spatial multi-criteria model for the evaluation of land redistribution plans

    OpenAIRE

    Demetriou, D; See, L.; Stillwell, J.

    2012-01-01

    A planning support system for land consolidation has been developed that has, at its heart, an expert system called LandSpaCES (Land Spatial Consolidation Expert System) which contains a "design module" that generates alternative land redistributions under different scenarios and an "evaluation module" which integrates GIS with multi-criteria decision making for assessing these alternatives. This paper introduces the structural framework of the latter module which has been applied using a cas...

  4. A Spatial Multi-Criteria Model for the Evaluation of Land Redistribution Plans

    OpenAIRE

    John Stillwell; Linda See; Demetris Demetriou

    2012-01-01

    A planning support system for land consolidation has been developed that has, at its heart, an expert system called LandSpaCES (Land Spatial Consolidation Expert System) which contains a “design module” that generates alternative land redistributions under different scenarios and an “evaluation module” which integrates GIS with multi-criteria decision making for assessing these alternatives. This paper introduces the structural framework of the latter m...

  5. Reaching Mars: multi-criteria R&D portfolio selection for Mars exploration technology planning

    Science.gov (United States)

    Smith, J. H.; Dolgin, B. P.; Weisbin, C. R.

    2003-01-01

    The exploration of Mars has been the focus of increasing scientific interest about the planet and its relationship to Earth. A multi-criteria decision-making approach was developed to address the question, Given a Mars program composed of mission concepts dependent on a variety of alternative technology development programs, which combination of technologies would enable missions to maximize science return under a constrained budget?.

  6. Strategic planning decision making using fuzzy SWOT-TOPSIS with reliability factor

    Science.gov (United States)

    Mohamad, Daud; Afandi, Nur Syamimi; Kamis, Nor Hanimah

    2015-10-01

    Strategic planning is a process of decision making and action for long-term activities in an organization. The Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis has been commonly used to help organizations in strategizing their future direction by analyzing internal and external environment. However, SWOT analysis has some limitations as it is unable to prioritize appropriately the multiple alternative strategic decisions. Some efforts have been made to solve this problem by incorporating Multi Criteria Decision Making (MCDM) methods. Nevertheless, another important aspect has raised concerns on obtaining the decision that is the reliability of the information. Decision makers evaluate differently depending on their level of confidence or sureness in the evaluation. This study proposes a decision making procedure for strategic planning using SWOT-TOPSIS method by incorporating the reliability factor of the evaluation based on Z-number. An example using a local authority in the east coast of Malaysia is illustrated to determine the strategic options ranking and to prioritize factors in each SWOT category.

  7. 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 to their

  8. FUZZY MODELS AS DECISION-SUPPORT APPLICATIONS OF ELECTRICAL ENERGY TARIFFING

    Directory of Open Access Journals (Sweden)

    Daniela GHINITA

    2004-12-01

    Full Text Available The paper is a decision – support application which design and use two fuzzy models to estimation an electrical energy tariff, as it to be sell at consumers. The fuzzy tariff estimation model integrate not only the S.C Electrica S.A. rate position, but and some constraints/ compulsions of National Authority of Settlements from Energy (NASE, beginning with 1999, in this transition period from Romania. The paper not refer to a price concrete case (internal tariff used in certain year, production price, transport price, distribution price, spot price, or an external price to be sold electrical energy – EE, etc. The paper shows how, by changing the parameters of S.C Electrica S.A and NASE, it is possible to can perform sensitivity tests on the tariff function model until we obtain an acceptable price. Much more: the two fuzzy models use different rules (conservative and aggressive, with hedge operators, respectively for pricing. Finally, the paper not finished all fuzzy possibilities (rules which can influences the expected value of a some EE tariff but, can create a discussion base about the way of approximate/ fuzzy reasoning, as a decision-support application to find a new EE price.

  9. Fuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision Support

    Directory of Open Access Journals (Sweden)

    S. Parkash  Kumar

    2011-01-01

    Full Text Available Problem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient valid cluster. With the obtained data clusters, quality assessment is made by predictive mining using decision tree model. Validation criteria focus on the quality metrics of the institution features for cluster formation and handle efficiently the arbitrary shaped clusters. Approach: The proposed work presented a fuzzy k-means cluster algorithm in the formation of student, faculty and infrastructural clusters based on the performance, skill set and facilitation availability respectively. The knowledge hidden among the educational data set is extracted through Fuzzy k-means cluster an unsupervised learning depends on certain initiation values to define the subgroups present in the data set. Results: Based on the features of the dataset and input parameters cluster formation vary, which motivates the clarification of cluster validity. The results of quality indexed fuzzy k-means shows better cluster validation compared to that of traditional k-family algorithm. Conclusion: The experimental results of cluster validation scheme confirm the reliability of validity index showing that it performs better than other k-family clusters.

  10. Mathematical Modeling of spatial disease variables by Spatial Fuzzy Logic for Spatial Decision Support Systems

    Science.gov (United States)

    Platz, M.; Rapp, J.; Groessler, M.; Niehaus, E.; Babu, A.; Soman, B.

    2014-11-01

    A Spatial Decision Support System (SDSS) provides support for decision makers and should not be viewed as replacing human intelligence with machines. Therefore it is reasonable that decision makers are able to use a feature to analyze the provided spatial decision support in detail to crosscheck the digital support of the SDSS with their own expertise. Spatial decision support is based on risk and resource maps in a Geographic Information System (GIS) with relevant layers e.g. environmental, health and socio-economic data. Spatial fuzzy logic allows the representation of spatial properties with a value of truth in the range between 0 and 1. Decision makers can refer to the visualization of the spatial truth of single risk variables of a disease. Spatial fuzzy logic rules that support the allocation of limited resources according to risk can be evaluated with measure theory on topological spaces, which allows to visualize the applicability of this rules as well in a map. Our paper is based on the concept of a spatial fuzzy logic on topological spaces that contributes to the development of an adaptive Early Warning And Response System (EWARS) providing decision support for the current or future spatial distribution of a disease. It supports the decision maker in testing interventions based on available resources and apply risk mitigation strategies and provide guidance tailored to the geo-location of the user via mobile devices. The software component of the system would be based on open source software and the software developed during this project will also be in the open source domain, so that an open community can build on the results and tailor further work to regional or international requirements and constraints. A freely available EWARS Spatial Fuzzy Logic Demo was developed wich enables a user to visualize risk and resource maps based on individual data in several data formats.

  11. Supplier Selection Based on Intuitionistic Fuzzy Sets Group Decision Making

    Directory of Open Access Journals (Sweden)

    Rui Wang

    2013-01-01

    Full Text Available The selection of suppliers had always been a key point of the supply chain management, directly impact the operation of supply chain. In this context, firstly introduced the study situation of supplier selection, established the evaluation index system based on the research and then puts forward a new method for supplier selection based on intuitionistic fuzzy sets. Finally, using an example to illustrate the application of indicators and the method provides a new method for supplier selection.

  12. Extension of Axiomatic Design Method for Fuzzy Linguistic Multiple Criteria Group Decision Making with Incomplete Weight Information

    OpenAIRE

    Ming Li

    2012-01-01

    Axiomatic design (AD) provides a framework to describe design objects and a set of axioms to evaluate relations between intended functions and means by which they are achieved. It has been extended to evaluate alternatives in engineering under fuzzy environment. With respect to multiple criteria group decision making (MCDM) with incomplete weight information under fuzzy linguistic environment, a new method is proposed. In the method, the fuzzy axiomatic design based on triangle representation...

  13. Fuzzy model of the computer integrated decision support and management system in mineral processing

    Directory of Open Access Journals (Sweden)

    Miljanović Igor

    2008-01-01

    Full Text Available During the research on the subject of computer integrated systems for decision making and management support in mineral processing based on fuzzy logic, realized at the Department of Applied Computing and System Engineering of the Faculty of Mining and Geology, University of Belgrade, for the needs of doctoral thesis of the first author, and wider demands of the mineral industry, the incompleteness of the developed and contemporary computer integrated systems fuzzy models was noticed. The paper presents an original model with the seven staged hierarchical monitoring-management structure, in which the shortcomings of the models utilized today were eliminated.

  14. Hydrogen Production Technologies Evaluation Based on Interval-Valued Intuitionistic Fuzzy Multiattribute Decision Making Method

    Directory of Open Access Journals (Sweden)

    Dejian Yu

    2014-01-01

    Full Text Available We establish a decision making model for evaluating hydrogen production technologies in China, based on interval-valued intuitionistic fuzzy set theory. First of all, we propose a series of interaction interval-valued intuitionistic fuzzy aggregation operators comparing them with some widely used and cited aggregation operators. In particular, we focus on the key issue of the relationships between the proposed operators and existing operators for clear understanding of the motivation for proposing these interaction operators. This research then studies a group decision making method for determining the best hydrogen production technologies using interval-valued intuitionistic fuzzy approach. The research results of this paper are more scientific for two reasons. First, the interval-valued intuitionistic fuzzy approach applied in this paper is more suitable than other approaches regarding the expression of the decision maker’s preference information. Second, the results are obtained by the interaction between the membership degree interval and the nonmembership degree interval. Additionally, we apply this approach to evaluate the hydrogen production technologies in China and compare it with other methods.

  15. Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations

    Directory of Open Access Journals (Sweden)

    Wuyong Qian

    2016-09-01

    Full Text Available Although medical waste usually accounts for a small fraction of urban municipal waste, its proper disposal has been a challenging issue as it often contains infectious, radioactive, or hazardous waste. This article proposes a two-level hierarchical multicriteria decision model to address medical waste disposal method selection (MWDMS, where disposal methods are assessed against different criteria as intuitionistic fuzzy preference relations and criteria weights are furnished as real values. This paper first introduces new operations for a special class of intuitionistic fuzzy values, whose membership and non-membership information is cross ratio based ]0, 1[-values. New score and accuracy functions are defined in order to develop a comparison approach for ]0, 1[-valued intuitionistic fuzzy numbers. A weighted geometric operator is then put forward to aggregate a collection of ]0, 1[-valued intuitionistic fuzzy values. Similar to Saaty’s 1–9 scale, this paper proposes a cross-ratio-based bipolar 0.1–0.9 scale to characterize pairwise comparison results.