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Sample records for defining attributes decision

  1. On defining semantics of extended attribute grammars

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann

    1980-01-01

    Knuth has introduced attribute grammars (AGs) as a tool to define the semanitcs of context-free languages. The use of AGs in connection with programming language definitions has mostly been to define the context-sensitive syntax of the language and to define a translation in code for a hypothetical...

  2. Hybrid multiple attribute decision making model based on entropy

    Institute of Scientific and Technical Information of China (English)

    Wang Wei; Cui Mingming

    2007-01-01

    From the viewpoint of entropy, this paper investigates a hybrid multiple attribute decision making problem with precision number, interval number and fuzzy number. It defines a new concept: project entropy and the decision is taken according to the values. The validity and scientific nature of the given is proven.

  3. Responsibility Attribution for Collective Decision Makers

    NARCIS (Netherlands)

    Duch, Raymond; Przepiorka, Wojtek; Stevenson, Randolph

    2015-01-01

    We argue that individuals use responsibility attribution heuristics that apply to collective decisions made, for example, by families, teams within firms, boards in international organizations, or coalition governments. We conduct laboratory and online experiments to tease out the heuristics subject

  4. Variable precision rough set for multiple decision attribute analysis

    Institute of Scientific and Technical Information of China (English)

    Lai; Kin; Keung

    2008-01-01

    A variable precision rough set (VPRS) model is used to solve the multi-attribute decision analysis (MADA) problem with multiple conflicting decision attributes and multiple condition attributes. By introducing confidence measures and a β-reduct, the VPRS model can rationally solve the conflicting decision analysis problem with multiple decision attributes and multiple condition attributes. For illustration, a medical diagnosis example is utilized to show the feasibility of the VPRS model in solving the MADA...

  5. 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.

  6. The Application of Multiple Attribute Decision in LED Commerce Platform

    Directory of Open Access Journals (Sweden)

    Huahuan LEI

    2013-04-01

    Full Text Available The paper applied multiple attribute decision making into LED collaborative commerce platform to help customers make purchase decision. The normal customers are unfirmiliar with LED lighting product, because it is latest product in lighting industry and the attributes of LED are complicated and professional. The method analyzed the essential attributes and network attributes of LED lighting products to sequence the limited alternative. And based on the shortage of TOPSIS method, the paper combined grey correlation with TOPSIS method in order to make decision more exactly.

  7. DEFINING MANAGEMENT ZONES BASED ON SOIL ATTRIBUTES AND SOYBEAN PRODUCTIVITY

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    FABRICIO TOMAZ RAMOS

    2017-01-01

    Full Text Available Demarcating soil management zones can be useful, for instance, delimiting homogeneous areas and selecting attributes that are generally correlated with plant productivity, but doing so involves several different steps. The objective of this study was to identify the chemical and physical attributes of soil and soybean plants that explain crop productivity, in addition to suggesting and testing a methodological procedure for defining soil management zones. The procedure consisted of six steps: sample collection, data filtering, variable selection, interpolation, grouping, and evaluation of management zones. The samples were collected in an experimental area of 12.5 ha cultivated with soybean during the 2013/14 crop in Dystrophic Red Latosol, in Mato Grosso, Brazil. A total of 117 pairs of plant and soil samples were collected. Student’s t - test was used ( α = 0.02 to verify that the number of samples was adequate for correlation analysis. Results showed that only the P and Mn content in the grains explained (based on R 2 values the variation in soybean grain productivity the area. Based on the interpolation of these contents by ordinary kriging, the fuzzy C - means algorithm was used to separate them into groups by similarity. Division into two groups was the best option, which could be differentiated by Mann – Whitney test (P < 0.05, resulting in a map with 10 management zones.

  8. New approach to multiple attribute decision making with interval numbers

    Institute of Scientific and Technical Information of China (English)

    Zhang Quan; Gao Qisheng; Geng Jinhua

    2008-01-01

    In an ambiguous decision domain, the evaluation values of alternatives against attributes would be interval numbers because of the inherent, uncertain property of the problems. By using a number of linear program-ming models, Bryson and Mobolurin propose an approach to compute attribute weights and overall values of the alternatives in the form of interval numbers. The intervals of the overall values of alternatives are then transformed into points or crisp values for comparisons among the alternatives. However, the attribute weights are different because of the use of linear programming models in Bryson and Mobolurin's approach. Thus, the alternatives are not comparable because different attribute weights are employed to calculate the overall values of the alternatives.A new approach is proposed to overcome the drawbacks of Bryson and Mobolurin's approach. By transforming the decision matrix with intervals into the one with crisp values, a new linear programming model is proposed, to calculate the attribute weights for conducting alternative ranking.

  9. 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...

  10. Defining Attributes and Metrics of Effective Research Mentoring Relationships.

    Science.gov (United States)

    Pfund, Christine; Byars-Winston, Angela; Branchaw, Janet; Hurtado, Sylvia; Eagan, Kevin

    2016-09-01

    Despite evidence of mentoring's importance in training researchers, studies to date have not yet determined which mentoring relationships have the most impact and what specific factors in those mentoring relationships contribute to key outcomes, such as the commitment to and persistence in research career paths for emerging researchers from diverse populations. Efforts to broaden participation and persistence in biomedical research careers require an understanding of why and how mentoring relationships work and their impact, not only to research training but also to promoting career advancement. This paper proposes core attributes of effective mentoring relationships, as supported by the literature and suggested by theoretical models of academic persistence. In addition, both existing and developing metrics for measuring the effectiveness of these attributes within mentoring relationships across diverse groups are presented, as well as preliminary data on these metrics from the authors' work.

  11. The defining attributes of a luxury brand for consumers

    Directory of Open Access Journals (Sweden)

    Sheila Liberal Ormaechea

    2013-09-01

    Full Text Available Purpose: The aim of this research is to deepen the knowledge about luxury consumption from the paradigm of symbolic consumption through a holistic and multidimensional vision, allowing us to see and understand the perceptions of university consumers.Design/methodology: A literature review of the construct of a luxury brand is performed as part of the theoretical framework, before a descriptive and quantitative empirical study is done, based on university students completing a questionnaire. The aim is to understand their perception about the attributes situating a mark in the luxury segment.Findings: The results of this study contribute to the existing literature on luxury, thus providing a fuller and deeper understanding of the concept. The empirical study conducted with university students provides an idea of their perceptions about the nature of a luxury brand.Research limitations: The socio-cultural and demographic properties of the sample limit the research results to the accessible or new luxury category, and cannot be generalised for the whole sector or for other segments.Practical implications: The knowledge of the perception of luxury of consumers is critical for optimising the strategic management of such brands. The results provide guidance for the design of communication and marketing strategies aimed at the university public, and provide the most relevant features or parameters of luxury for this consumer segment.Social implications: The design of a marketing and communication strategy for a brand involves a thorough understanding of its consumers. Knowing the perceptions of social groups within different market segments is the first step towards an effective stimulation of their purchasing motivations.Originality/Added value: While the luxury sector is particularly attractive for professionals and researchers, in Spain there have been no empirical studies of consumers to extract a strategic value of the conclusions for these brands.

  12. Defining decision making strategies in software ecosystem governance

    DEFF Research Database (Denmark)

    Manikas, Konstantinos; Wnuk, Krzysztof; Shollo, Arisa

    studies touch upon the decision making of software ecosystem governance. In this paper, we propose decomposing software ecosystem governance into three activities: input or data collection, decision making, and applying actions. We focus on the decision making activity of software ecosystem governance......Making the right decisions is an essential part of software ecosystem governance. Decisions related to the governance of a software ecosystem can influence the health of the ecosystem and can result in fostering the success or greatly contributing to the failure of the ecosystem. However, very few...... and review related literature consisted of software ecosystem governance, organizational decision making, and IT governance. Based on the identified studies, we propose a framework for defining the decision making strategies in the governance of software ecosystems. We identify five decision areas...

  13. 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.

  14. Solution to multiple attribute group decision making problems with two decision makers

    Institute of Scientific and Technical Information of China (English)

    Fangwei Zhang; Wei Wang; Xuedong Hua

    2015-01-01

    A kind of multiple attribute group decision making (MAGDM) problem is discussed from the perspective of statistic decision-making. Firstly, on the basis of the stability theory, a new idea is proposed to solve this kind of problem. Secondly, a con-crete method corresponding to this kind of problem is proposed. The main tool of our research is the technique of the jackknife method. The main advantage of the new method is that it can identify and determine the reliability degree of the existed decision making information. Final y, a traffic engineering example is given to show the effectiveness of the new method.

  15. Multiple Attribute Decision Making Based on Cross-Evaluation with Uncertain Decision Parameters

    Directory of Open Access Journals (Sweden)

    Tao Ding

    2016-01-01

    Full Text Available Multiple attribute decision making (MADM problem is one of the most common and popular research fields in the theory of decision science. A variety of methods have been proposed to deal with such problems. Nevertheless, many of them assumed that attribute weights are determined by different types of additional preference information which will result in subjective decision making. In order to solve such problems, in this paper, we propose a novel MADM approach based on cross-evaluation with uncertain parameters. Specifically, the proposed approach assumes that all attribute weights are uncertain. It can overcome the drawback in prior research that the alternatives’ ranking may be determined by a single attribute with an overestimated weight. In addition, the proposed method can also balance the mean and deviation of each alternative’s cross-evaluation score to guarantee the stability of evaluation. Then, this method is extended to a more generalized situation where the attribute values are also uncertain. Finally, we illustrate the applicability of the proposed method by revisiting two reported studies and by a case study on the selection of community service companies in the city of Hefei in China.

  16. Guava Jam packaging determinant attributes in consumer buying decision

    Directory of Open Access Journals (Sweden)

    Maria Inês Souza Dantas

    2011-09-01

    Full Text Available Using packaging and labels to lure consumers and to communicate product benefits directly on the shelf is a competitive advantage factor in the food industry sector. The label is especially effective since besides supplying basic details, such as weight, ingredients, and instructions in compliance with governmental regulations, it attracts consumers' attention and the desire to buy and which often becomes synonymous to the brand name. The objective of this study was to obtain detailed information on consumers' attitudes, opinions, behavior, and concepts regarding guava jam packaging using the focus group technique. The results showed that label color and design, packaging type and information, and brand name and price are determinant attributes in the consumers' decision to buy guava jam.

  17. The neural basis of responsibility attribution in decision-making.

    Directory of Open Access Journals (Sweden)

    Peng Li

    Full Text Available Social responsibility links personal behavior with societal expectations and plays a key role in affecting an agent's emotional state following a decision. However, the neural basis of responsibility attribution remains unclear. In two previous event-related brain potential (ERP studies we found that personal responsibility modulated outcome evaluation in gambling tasks. Here we conducted a functional magnetic resonance imaging (fMRI study to identify particular brain regions that mediate responsibility attribution. In a context involving team cooperation, participants completed a task with their teammates and on each trial received feedback about team success and individual success sequentially. We found that brain activity differed between conditions involving team success vs. team failure. Further, different brain regions were associated with reinforcement of behavior by social praise vs. monetary reward. Specifically, right temporoparietal junction (RTPJ was associated with social pride whereas dorsal striatum and dorsal anterior cingulate cortex (ACC were related to reinforcement of behaviors leading to personal gain. The present study provides evidence that the RTPJ is an important region for determining whether self-generated behaviors are deserving of praise in a social context.

  18. Exemplar-based inference in multi-attribute decision making

    Directory of Open Access Journals (Sweden)

    Linnea Karlsson

    2008-03-01

    Full Text Available Several studies propose that exemplar retrieval contributes to multi-attribute decisions. The authors have proposed a process theory enabling a priori predictions of what cognitive representations people use as input to their judgment process (extit{Sigma}, for ``summation''; P. Juslin, L. Karlsson, and H. Olsson, 2008. According to Sigma, exemplar retrieval is a back-up system when the task does not allow for additive and linear abstraction and integration of cue-criterion knowledge (e.g., when the task is non-additive. An important question is to what extent such shifts occur spontaneously as part of automatic procedures, such as error-minimization with the Delta rule, or if they are controlled extit{strategy} shifts contingent on the ability to identify a sufficiently successful judgment strategy. In this article data are reviewed that demonstrate a shift between exemplar memory and cue abstraction, as well as data where the expected shift does extit{not} occur. In contrast to a common assumption of previous models, these results suggest a controlled and contingent strategy shift.

  19. Defining Attributes of Analytic Ability as a Prerequisite for Selection of Instructional Strategies.

    Science.gov (United States)

    French, Margaret

    The defining attributes of analytic ability as they relate to theoretical cognitive styles were explored in a study using a sample of 492 males aged 16-21 years. The Group Embedded Figures Test (GEFT--Witkin, Oltman, Rasher, and Karp) was used to measure field dependent and independent aptitude. Scores on the GEFT were compared with scores on an…

  20. Defining Attributes of Analytic Ability as a Prerequisite for Selection of Instructional Strategies.

    Science.gov (United States)

    French, Margaret

    The defining attributes of analytic ability as they relate to theoretical cognitive styles were explored in a study using a sample of 492 males aged 16-21 years. The Group Embedded Figures Test (GEFT--Witkin, Oltman, Rasher, and Karp) was used to measure field dependent and independent aptitude. Scores on the GEFT were compared with scores on an…

  1. 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.

  2. Importance assessment of decision attributes: A qualitative study comparing experts and laypersons

    NARCIS (Netherlands)

    Heerkens, Johannes M.G.; Norde, Christiaan; van der Heijden, Beatrice

    2011-01-01

    Purpose – This paper aims to investigate differences between experts and laypersons concerning the way they assess the importance of each of the various decision attributes (cost, risk, feasibility) taken into consideration during decision processes in an organizational setting.

  3. Research on Multiple Attributes Classification Decision-making Model and Its Application

    Institute of Scientific and Technical Information of China (English)

    JianqingWang

    2004-01-01

    On the basis of analyzing the flaws of present some multiple attributes classification decision-making methods,to the question of characteristics of the multiple at-tributes classification decision-making and particular emphasis of respective attributes in the decision-making process,as well as its relevance to the decision making environment,the paper firstly formulates an optimal attributes system,then uses the Multiplicative Analytic Hierarchy Process(MAHP)to determine subjective weight coefficients,estimate the objective weight coefficients,establishes the optimal model of the weight coefficients of the whole optimal attributes system,and obtain the weights on attributes.Furthermore,the paper presents a decision-making method and gives its detail implementation procedure.Finally,an example is given to show the feasibility and effectiveness of this method.

  4. An interval number-based multiple attribute bid-decision making model for substation equipments

    Directory of Open Access Journals (Sweden)

    Zhu Lili

    2016-01-01

    Full Text Available By analyzing the characteristics of public bidding for substation equipments and combining with the research methods of multiple attribute decision-making problems, a multiple attribute bid-decision making model is presented. Firstly, the weight of interval numbers is specified by using the interval numbers theory and entropy theory. Secondly, the deviation degree of decision-making scheme is proposed. Then the schemes are sorted. A typical case is analyzed based on the above-mentioned.

  5. Effects on decision quality of supporting multi-attribute evaluation in groups

    NARCIS (Netherlands)

    Vlek, C.A.J.; Timmermans, D.

    1996-01-01

    In this study the effectiveness of multi-attribute utility (MAU) decision support in groups is evaluated for personnel selection problems differing in complexity. Subjects were asked to make an initial individual decision with or without MAU decision support. Next individuals formed small groups and

  6. OPTIMAL HIERARCHY STRUCTURES FOR MULTI-ATTRIBUTE-CRITERIA DECISIONS

    Institute of Scientific and Technical Information of China (English)

    Stan LIPOVETSKY

    2009-01-01

    A problem of a hierarchy structure optimization is considered. Hierarchical structures are widely used in the Analytic Hierarchy Process, conjoint analysis, and various other methods of multiple criteria decision making. The problem consists in finding a structure that needs a minimum number of pair comparisons for a given total number of the alternatives. For an optimal hierarchy, the minimum efforts are needed for eliciting data and synthesizing the local References across the hierarchy to get the global priorities or utilities. Special estimation techniques are developed and numerical simulations performed. Analytical and numerical results suggest optimal ways of priority evaluations for practical managerial decisions in a complex environment.

  7. Multi-attribute decision-making approach dealing with uncertain linguistic assessment information

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    An approach is presented to deal with a multi-attribute decision-making problem in which the attribute weights are unknown and the attribute values take the form of uncertain linguistic variables. First, a linguistic assessment standard is set up to deal with the uncertain linguistic attributes, and the operation laws of uncertain linguistic variables and the uncertain linguistic weighting average(ULWA)operator are introduced. Then a ranking formula of uncertain linguistic variables based on expectation-var...

  8. An Object Threat Assessment Method Based on Indefinite Multiple Attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    ZHANG Cui; SU Hai-bin; HOU Chao-zhen; WANG Xiao-yi

    2007-01-01

    On the basis of characteristics of threat assessment of aerial defense, a kind of MADM (multiple attribute decision making) method with unknown attribute weights and biased project on decision-maker is put forward. It can be used in dealing with the object threat assessment problem. A computing formula on project preference of decision-maker and one model of obtaining attribute optimization weight are set up. The method improves the veracity and reliability of computing object threat assessment, and the simulating result shows that this method is valid.

  9. Prediction Approach of Critical Node Based on Multiple Attribute Decision Making for Opportunistic Sensor Networks

    Directory of Open Access Journals (Sweden)

    Qifan Chen

    2016-01-01

    Full Text Available Predicting critical nodes of Opportunistic Sensor Network (OSN can help us not only to improve network performance but also to decrease the cost in network maintenance. However, existing ways of predicting critical nodes in static network are not suitable for OSN. In this paper, the conceptions of critical nodes, region contribution, and cut-vertex in multiregion OSN are defined. We propose an approach to predict critical node for OSN, which is based on multiple attribute decision making (MADM. It takes RC to present the dependence of regions on Ferry nodes. TOPSIS algorithm is employed to find out Ferry node with maximum comprehensive contribution, which is a critical node. The experimental results show that, in different scenarios, this approach can predict the critical nodes of OSN better.

  10. A Multiple Attribute Decision Making Method Based on Uncertain Linguistic Heronian Mean

    Directory of Open Access Journals (Sweden)

    Xiaodi Liu

    2013-01-01

    Full Text Available The Heronian mean is a useful aggregation operator which can capture the interrelationship of the input arguments. In this paper, we develop some Heronian means based on uncertain linguistic variables, such as the generalized uncertain linguistic Heronian mean (GULHM and uncertain linguistic geometric Heronian mean (ULGHM, and some of their desirable properties are also investigated. Considering the different importance of the input arguments, we define the generalized uncertain linguistic weighted Heronian mean (GULWHM and uncertain linguistic weighted geometric Heronian mean (ULWGHM. Then, a method of multiple attribute decision making under uncertain linguistic environment is presented based on the GULWHM or the ULWGHM. In the end, an example is given to demonstrate the effectiveness and feasibility of the proposed method.

  11. Explaining the use of attribute cut-off values in decision making by means of involvement

    DEFF Research Database (Denmark)

    Peschel, Anne O.; Grebitus, Carola; Colson, Gregory

    2016-01-01

    respondents’ attribute cut-off values and their validated Personal Involvement Inventory (PII). Evidence from the analysis indicates that consumers who are highly involved are more likely to exhibit attribute cut-off values and are less likely to violate their cut-off values. Further investigation using......In order to lower the cognitive burden of decision making, consumers may apply attribute cut-off values to simplify decision strategies. Products with attributes that do not pass the cut-off values are either not being considered by the individual or are greatly discounted. This study provides new...

  12. Performance Evaluation of Enterprise Knowledge Management based on Multiple Attribute Group Decision Making

    Institute of Scientific and Technical Information of China (English)

    LIU Yan-chi; GUO Hong-wei

    2009-01-01

    Given that the classical performance evaluation models can not deal with the group decision making problems since they simply average the index, we propose an enterprise knowledge management evaluation model based on multiple attribute group decision making (MAGDM). Find the differences between Ordered Weighted Averaging (OWA) and meth- ods for uncertain decision making. Also, analyze the multiple attribute group decision making process and implement the al. gorithm. Finally, apply the method on performance evaluation of four enterprises and make sensitivity analysis towards the evaluation results.

  13. Method for multiple attribute decision making based on incomplete linguistic judgment matrix

    Institute of Scientific and Technical Information of China (English)

    Zhang Yao; Fan Zhiping

    2008-01-01

    With respect to the multiple attribute decision making problems with linguistic preference relations on alternatives in the form of incomplete linguistic judgment matrix, a method is proposed to analyze the decision problem. The incomplete linguistic judgment matrix is transformed into incomplete fuzzy judgment matrix and an optimization model is developed on the basis of incomplete fuzzy judgment matrix provided by the decision maker and the decision matrix to determine attribute weights by Lag)range multiplier method. Then the overall values of all alternatives are calculated to rank them. A numerical example is given to illustrate the feasibility and practicality of the proposed method.

  14. Defining decision making strategies in software ecosystem governance

    OpenAIRE

    Manikas, Konstantinos; Wnuk, Krzysztof; Shollo, Arisa

    2015-01-01

    Making the right decisions is an essential part of software ecosystem governance. Decisions related to the governance of a software ecosystem can influence the health of the ecosystem and can result in fostering the success or greatly contributing to the failure of the ecosystem. However, very few studies touch upon the decision making of software ecosystem governance. In this paper, we propose decomposing software ecosystem governance into three activities: input or data collection, decision...

  15. Defining decision making strategies in software ecosystem governance

    DEFF Research Database (Denmark)

    Manikas, Konstantinos; Wnuk, Krzysztof; Shollo, Arisa

    studies touch upon the decision making of software ecosystem governance. In this paper, we propose decomposing software ecosystem governance into three activities: input or data collection, decision making, and applying actions. We focus on the decision making activity of software ecosystem governance...... for software ecosystem governance and four archetypes describing the way decisions are taken for each decision area. We explain this matrix-based framework by providing examples from existing software ecosystems.......Making the right decisions is an essential part of software ecosystem governance. Decisions related to the governance of a software ecosystem can influence the health of the ecosystem and can result in fostering the success or greatly contributing to the failure of the ecosystem. However, very few...

  16. Women's values in contraceptive choice: a systematic review of relevant attributes included in decision aids.

    Science.gov (United States)

    Wyatt, Kirk D; Anderson, Ryan T; Creedon, Douglas; Montori, Victor M; Bachman, John; Erwin, Patricia; LeBlanc, Annie

    2014-02-13

    Women can choose from a range of contraceptive methods that differ in important ways. Inadequate decision support may lead them to select a method that poorly fits their circumstances, leading to dissatisfaction, misuse, or nonuse. Decision support interventions, such as decision aids, may help women choose a method of contraception that best fits their personal circumstances. To guide future decision aid development, we aim to summarize the attributes of contraceptive methods included in available decision aids as well as surveys and interviews of women actively choosing a contraceptive method. We conducted a systematic review to identify attributes of contraceptive methods that may be important to women when engaging in this decision making process. We performed a database search of MEDLINE/PubMed, Ovid EMBASE, OVID CENTRAL, Ovid PsycInfo, EBSCO CINAHL, Popline, and Scopus from 1985 until 2013 to identify decision aids, structured interviews and questionnaires reporting attributes of contraceptive options that are of importance to women. A free-text internet search was also performed to identify additional decision support tools. All articles and tools were reviewed in duplicate for inclusion, and a summary list of attributes was compiled. We included 20 surveys, 1 semistructured interview report and 19 decision aids, reporting 32 unique attributes. While some attributes were consistently included in surveys/interviews and decision aids, several were included more often in decision aids as opposed to surveys/interviews (e.g., STI prevention, noncontraceptive benefits, how the method is used, requirement of a healthcare provider), and vice versa (e.g., a woman's vicarious experience with contraceptive methods). Key attributes mentioned in both surveys/interviews and decision aids include efficacy (29 total mentioned) and side effects/health risks (28 total mentioned). While a limited number of decision support tools were formally evaluated, many were not

  17. Comparison of Attribute Reduction Methods for Coronary Heart Disease Data by Decision Tree Classification

    Institute of Scientific and Technical Information of China (English)

    ZHENG Gang; HUANG Yalou; WANG Pengtao; SHU Guangfu

    2005-01-01

    Attribute reduction is necessary in decision making system. Selecting right attribute reduction method is more important. This paper studies the reduction effects of principal components analysis (PCA) and system reconstruction analysis (SRA) on coronary heart disease data. The data set contains 1723 records, and 71 attributes in each record. PCA and SRA are used to reduce attributes number (less than 71 ) in the data set. And then decision tree algorithms, C4.5, classification and regression tree ( CART), and chi-square automatic interaction detector ( CHAID), are adopted to analyze the raw data and attribute reduced data. The parameters of decision tree algorithms, including internal node number, maximum tree depth, leaves number, and correction rate are analyzed. The result indicates that, PCA and SRA data can complete attribute reduction work,and the decision-making rate on the reduced data is quicker than that on the raw data; the reduction effect of PCA is better than that of SRA, while the attribute assertion of SRA is better than that of PCA. PCA and SRA methods exhibit goodperformance in selecting and reducing attributes.

  18. Assessment of stormwater management options in urban contexts using Multiple Attribute Decision-Making

    DEFF Research Database (Denmark)

    Gogate, Nivedita G.; Kalbar, Pradip; Raval, Pratap M.

    2017-01-01

    -weightings and are translated into a decision-making methodology. Experts' opinions have been included using Analytical Hierarchy Process (AHP). One of the most widely used Multiple Attribute Decision-Making (MADM) method, TOPSIS, is used to rank the alternatives and to identify the most sustainable alternatives. Various...

  19. Importance assessment of decision attributes: A qualitative study comparing experts and laypersons

    NARCIS (Netherlands)

    Heerkens, Hans; Norde, Christiaan; Heijden, van der Beatrice

    2011-01-01

    Purpose – This paper aims to investigate differences between experts and laypersons concerning the way they assess the importance of each of the various decision attributes (cost, risk, feasibility) taken into consideration during decision processes in an organizational setting. Design/methodology/

  20. Effects on Decision Quality of Supporting Multi-attribute Evaluation in Groups

    Science.gov (United States)

    Timmermans; Vlek

    1996-11-01

    In this study the effectiveness of multi-attribute utility (MAU) decision support in groups is evaluated for personnel selection problems differing in complexity. Subjects were asked to make an initial individual decision with or without MAU decision support. Next individuals formed small groups and were asked to reach a decision about the same problem. Groups received either MAU support or no support. Results show that for relatively simple problems the most effective method is to provide subjects with both individual and group decision support. Here, decision support had a clear impact on subjects' preferences and the level of agreement between group members. In addition, satisfaction with the decision and the decision procedure was relatively high. Overall, decision support improved communication; subjects reported to find the problem easier, to have more influence on the group decision, and to find it easier to express their opinions. For more complex problems, however, decision making without group support (whether preceded by individual support or not) was evaluated most favorably. Individual decision support in this condition was sometimes better than no support; i.e., there was a lower reported problem difficulty, a higher satisfaction with the group decision, and a higher reported influence on the group decision. The effectiveness of group MAU decision support for complex problems was evaluated less favorably.

  1. Novel method for hybrid multiple attribute decision making based on TODIM method

    Institute of Scientific and Technical Information of China (English)

    Fang Wang; Hua Li

    2015-01-01

    The TODIM (an acronym in Portuguese for interac-tive and multiple attribute decision making) method is a valuable tool to solve the multiple attribute decision making (MADM) prob-lems considering the behavior of the decision maker (DM), while it cannot be used to handle the problem with unknown weight information on attributes. In this paper, a novel method based on the classical TODIM method is proposed to solve the hybrid MADM problems with unknown weight information on attributes, in which attribute values are represented in four different formats:crisp numbers, interval numbers, triangular fuzzy numbers and trapezoidal fuzzy numbers. Firstly, the positive-ideal alternative and negative-ideal alternative are determined, and the gain and loss matrices are constructed by calculating the gain and loss of each alternative relatived to the ideal alternatives concerning each attribute based on different distance calculation formulas, which may avoid the information missing or information distortion in the process of unifying multiform attribute values into a certain rep-resentation form. Secondly, an optimization model based on the maximizing deviation (MD) method, by which the attribute weights can be determined, is established for the TODIM method. Fur-ther, the calculation steps to solve the hybrid MADM problems are given. Final y, two numerical examples are presented to il us-trate the usefulness of the proposed method, and the results show that the DM’s psychological behavior, attribute weights and the transformed information would highly affect the ranking orders of alternatives.

  2. SCOPE – An Integrated Framework for Multi-Attribute Decision Making

    DEFF Research Database (Denmark)

    Leleur, Steen

    2004-01-01

    This article presents an integrated framework for multi‐attribute decision making named SCOPE (System for Combined Planning and Evaluation) that was developed to assess infrastructure policy initiatives—in complex decision environments. The framework comprises scanning as well as assessment issues...... that are supported by a methodology of both a systemic and a systematic type. Specific use is made of operational research methods such as critical systems heuristics, scenario technique, stakeholder analysis and multi‐attribute decision making (MADM). To deal with issues of complexity and ambiguity, planning...

  3. Multi-attribute decision making model based on optimal membership and relative entropy

    Institute of Scientific and Technical Information of China (English)

    Rao Congjun; Zhao Yong

    2009-01-01

    To study the problems of multi-attribute decision making in which the attribute values are given in the form of linguistic fuzzy numbers and the information of attribute weights are incomplete, a new multi-attribute decision making model is presented based on the optimal membership and the relative entropy. Firstly, the definitions of the optimal membership and the relative entropy are given. Secondly, for all alternatives, a set of preference weight vectors are obtained by solving a set of linear programming models whose goals are all to maximize the optimal membership. Thirdly, a relative entropy model is established to aggregate the preference weight vectors, thus an optimal weight vector is determined. Based on this optimal weight vector, the algorithm of deviation degree minimization is proposed to rank all the alternatives. Finally, a decision making example is given to demonstrate the feasibility and rationality of this new model.

  4. An Extended TOPSIS Method for Multiple Attribute Decision Making based on Interval Neutrosophic Uncertain Linguistic Variables

    Directory of Open Access Journals (Sweden)

    Said Broumi

    2015-03-01

    Full Text Available The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve the multiple attribute decision making problems in which the attribute value takes the form of the interval neutrosophic uncertain linguistic variables and attribute weight is unknown. Firstly, the operational rules and properties for the interval neutrosophic variables are introduced. Then the distance between two interval neutrosophic uncertain linguistic variables is proposed and the attribute weight is calculated by the maximizing deviation method, and the closeness coefficients to the ideal solution for each alternatives. Finally, an illustrative example is given to illustrate the decision making steps and the effectiveness of the proposed method.

  5. Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods Volume 2

    CERN Document Server

    Rao, R Venkata

    2013-01-01

    Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance ba...

  6. The Role of Contraceptive Attributes in Women’s Contraceptive Decision Making

    Science.gov (United States)

    Madden, Tessa; Secura, Gina M.; Nease, Robert; Politi, Mary; Peipert, Jeffrey F.

    2015-01-01

    Objective Contraceptive methods have differing attributes. Women’s preferences for these attributes may influence contraceptive decision making. Our objective was to identify women’s contraceptive preferences among women initiating a new contraceptive method. Study Design We conducted a cross-sectional, self-administered survey of women’s contraceptive preferences at the time of enrollment into the Contraceptive CHOICE Project. Participants were asked to rank the importance of 15 contraceptive attributes on a three-point scale (1=”not at all important,” 2=”somewhat important,” and “3=very important”) and then to rank the 3 attributes that were the most important when choosing a contraceptive method. The survey also contained questions about prior contraceptive experience and barriers to contraceptive use. Information about demographic and reproductive characteristics was collected through the CHOICE Project baseline survey. Results There were 2,590 women who completed the survey. Our sample was racially and socioeconomically diverse. Method attributes with the highest importance score were effectiveness (mean score 2.97 [standard deviation 0.18]), safety (2.96 [0.22]), affordability (2.61 [0.61]), whether the method is long-lasting (2.58 [0.61]), and whether the method is “forgettable” (2.54 [0.66]). The attributes most likely to be ranked by respondents among the top three attributes included effectiveness (80.5%), safety (64.8%) and side effects of the method (42.7%). Conclusion Multiple contraceptive attributes influence decision making and no single attribute drives most women’s decisions. Tailoring communication and helping women make complex trade offs between attributes can better support their contraceptive decisions and may assist them in making value-consistent choices. This process could improve continuation and satisfaction. PMID:25644443

  7. Introducing Emotioncy as an Invisible Force Controlling Causal Decisions: A Case of Attribution Theory

    Directory of Open Access Journals (Sweden)

    Pishghadam Reza

    2017-03-01

    Full Text Available Given the prominence of studies aimed at determining the factors influencing causal judgments, this study attempts to introduce the newly-developed concept of emotioncy as one of the guiding factors pushing attribution judgments toward a certain spectrum. To this end, two scales of attribution and emotioncy were designed using ten hypothetical situations. A total number of 309 participants filled out the scales. The construct validity of the scales was substantiated through confirmatory factor analysis (CFA. Afterwards, structural equation modeling (SEM was utilized to examine the possible relationships among the sub-constructs of attribution and emotioncy scales. The results indicated that as the participants’ emotioncy level increases, it becomes more likely for them to attribute probable causes to external factors. Moreover, it was revealed that while the involved individuals attribute causes to external factors, the exvolved ones attribute them to internal factors. In the end, implications of the findings were discussed in the realm of judgment and decision making.

  8. Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods

    CERN Document Server

    Rao, Ravipudi Venkata

    2007-01-01

    Manufacturing is the backbone of any industrialized nation. Recent worldwide advances in manufacturing technologies have brought about a metamorphism in the industry. Fast-changing technologies on the product front have created a need for an equally fast response from manufacturing industries. To meet these challenges, manufacturing industries have to select appropriate manufacturing strategies, product designs, manufacturing processes, work piece and tool materials, and machinery and equipment. The selection decisions are complex as decision making is more challenging today. Decision makers i

  9. 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.

  10. Application of Interval Multi-attribute Decision-Making Method to Aeroengine Performance Ranking

    Institute of Scientific and Technical Information of China (English)

    Zhang Haijun; Zuo Hongfu; Liang Jian

    2006-01-01

    In view of the uncertainty of the monitored performance parameters of aeroengines, the fluctuating scope of the monitored informarion during a period is taken as interval numbers, and the interval multi-attribute decision-making method is employed to predict the performance of aeroengine. The synthetic weights of interval numbers are obtained by calculating deviation degree and possibility degree. As an example of application, 5 performance parameters monitored on 10 CF6 aeroengines of China Eastern Airlines Co.,Ltd are adopted as decision attributes to verify the algorithm. The obtained synthetic ranking result shows the effectiveness and rationality of the proposed method in reflecting the performance status of aeroengins.

  11. Single Valued Neutrosophic Similarity Measures for Multiple Attribute Decision-Making

    Directory of Open Access Journals (Sweden)

    Jun Ye

    2014-03-01

    Full Text Available Similarity measures play an important role in data mining, pattern recognition, decision making, machine learning, image process etc. Then, single valued neutrosophic sets (SVNSs can describe and handle the indeterminate and inconsistent information, which fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with. Therefore, the paper proposes new similarity meas-ures between SVNSs based on the minimum and maxi-mum operators. Then a multiple attribute decision-making method based on the weighted similarity measure of SVNSs is established in which attribute values for alternatives are represented by the form of single valued neutrosophic values (SVNVs and the attribute weights and the weights of the three independent elements (i.e., truthmembership degree, indeterminacy-membership degree, and falsity-membership degree in a SVNV are considered in the decision-making method. In the decision making, we utilize the single-valued neutrosophic weighted similarity measure between the ideal alternative and an alternative to rank the alternatives corresponding to the measure values and to select the most desirable one(s. Finally, two practical examples are provided to demonstrate the applications and effectiveness of the single valued neutrosophic multiple attribute decision-making method.

  12. Attribute reduction theory of concept lattice based on decision formal contexts

    Institute of Scientific and Technical Information of China (English)

    WEI Ling; QI diandun; ZHANG WenXiu

    2008-01-01

    The theory of concept lattices is an efficient tool for knowledge representation and knowledge discovery,and is applied to many fields successfully.One focus of knowledge discovery is knowledge reduction.Based on the reduction theory of classical formal context,this paper proposes the definition of decision formal context and its reduction theory,which extends the reduction theory of concept lattices.In this paper,strong consistence and weak consistence of decision formal context are defined respectively.For strongly consistent decision formal context,the judgment theorems of consistent sets are examined,and approaches to reduc-tion are given.For weakly consistent decision formal context,implication mapping is defined,and its reduction is studied.Finally,the relation between reducts of weakly consistent decision formal context and reducts of implication mapping is discussed.

  13. On Attributes, Roles, and Dependencies in Description Logics and the Ackermann Case of the Decision Problem

    DEFF Research Database (Denmark)

    Toman, David; Weddel, Grant Edwin

    2001-01-01

    We present a decision procedure for the logical implication problem of a boolean complete DL dialect that includes attributes roles inverse roles and a new concept constructor that is capable of expressing a variety of equality and order generating dependencies The procedure underlies a mapping...

  14. Defining decision making: a qualitative study of international experts' views on surgical trainee decision making.

    Science.gov (United States)

    Rennie, Sarah C; van Rij, Andre M; Jaye, Chrystal; Hall, Katherine H

    2011-06-01

    Decision making is a key competency of surgeons; however, how best to assess decisions and decision makers is not clearly established. The aim of the present study was to identify criteria that inform judgments about surgical trainees' decision-making skills. A qualitative free text web-based survey was distributed to recognized international experts in Surgery, Medical Education, and Cognitive Research. Half the participants were asked to identify features of good decisions, characteristics of good decision makers, and essential factors for developing good decision-making skills. The other half were asked to consider these areas in relation to poor decision making. Template analysis of free text responses was performed. Twenty-nine (52%) experts responded to the survey, identifying 13 categories for judging a decision and 14 for judging a decision maker. Twelve features/characteristics overlapped (considered, informed, well timed, aware of limitations, communicated, knowledgeable, collaborative, patient-focused, flexible, able to act on the decision, evidence-based, and coherent). Fifteen categories were generated for essential factors leading to development of decision-making skills that fall into three major themes (personal qualities, training, and culture). The categories compiled from the perspectives of good/poor were predominantly the inverse of each other; however, the weighting given to some categories varied. This study provides criteria described by experts when considering surgical decisions, decision makers, and development of decision-making skills. It proposes a working definition of a good decision maker. Understanding these criteria will enable clinical teachers to better recognize and encourage good decision-making skills and identify poor decision-making skills for remediation.

  15. Evaluation of rope shovel operators in surface coal mining using a Multi-Attribute Decision-Making model

    Institute of Scientific and Technical Information of China (English)

    Vukotic Ivana; Kecojevic Vladislav

    2014-01-01

    Rope shovels are used to dig and load materials in surface mines. One of the main factors that influence the production rate and energy consumption of rope shovels is the performance of the operator. This paper presents a method for evaluating rope shovel operators using the Multi-Attribute Decision-Making (MADM) model. Data used in this research were collected from an operating surface coal mine in the southern United States. The MADM model consists of attributes, their weights of importance, and alter-natives. Shovel operators are considered the alternatives. The energy consumption model was developed with multiple regression analysis, and its variables were included in the MADM model as attributes. Preferences with respect to min/max of the defined attributes were obtained with multi-objective opti-mization. Multi-objective optimization was conducted with the overall goal of minimizing energy con-sumption and maximizing production rate. Weights of importance of the attributes were determined by the Analytical Hierarchy Process (AHP). The overall evaluation of operators was performed by one of the MADM models, i.e., PROMETHEE II. The research results presented here may be used by mining professionals to help evaluate the performance of rope shovel operators in surface mining.

  16. Influences of packaging attributes on consumer purchase decisions for fresh produce.

    Science.gov (United States)

    Koutsimanis, Georgios; Getter, Kristin; Behe, Bridget; Harte, Janice; Almenar, Eva

    2012-10-01

    Packaging attributes are considered to have an influence on consumer purchase decisions for food and, as a consequence, also on its consumption. To improve the current minimal understanding of these influences for fresh produce, a survey instrument in the form of an online questionnaire has been developed and launched in the US. The first part of the questionnaire covers consumers' preferences for packaging convenience features, characteristics, materials, disposal method, and others for fresh produces in general, and the second focuses on attributes like price, container size, produce shelf life for a specific fresh produce, sweet cherries, to allow us to supply specific values for these factors to the participants. Cluster and conjoint analyses of responses from 292 participants reveal that specific packaging and produce attributes affect consumer purchase decisions of fresh produce in general and of sweet cherries in particular (P ≤ 0.05) and that some are population segment dependent (P ≤ 0.05). For produce packaging in general, 'extend the "best by" date' was ranked as the top convenience feature, the type of packaging material was considered to affect the food product quality (92.7%) and containers made from bio-based materials were highly appealing (3.52 out of 5.00). The most important attributes that affect the purchasing decisions of consumers regarding a specific fresh produce like sweet cherries are price (25%), shelf life (19%) and container size (17.2%).

  17. Fuzzy Multiple Attribute Decision Making for Evaluating Aggregate Risk in Green Manufacturing

    Institute of Scientific and Technical Information of China (English)

    LIU Hua; CHEN Weiping; KANG Zhixin; NGAI Tungwai; LI Yuanyuan

    2005-01-01

    Industrial risk and the diversification of risk types both increase with industrial development. Many uncertain factors and high risk are inherent in the implementation of new green manufacturing methods. Because of the shortage of successful examples and complete and certain knowledge, decision-making methods using probabilities to represent risk, which need many examples, cannot be used to evaluate risk in the implementation of green manufacturing projects. Therefore, a fuzzy multiple attribute decision-making (FMADM) method was developed with a three-level hierarchical decision-making model to evaluate the aggregate risk for green manufacturing projects. A case study shows that the hierarchical decision-making model of the aggregate risk and the FMADM method effectively reflect the characteristics of the risk in green manufacturing projects.

  18. Mapping the Telecom services Industry and Defining the Major Attributes for the Successful Diffusion of Telecom Services

    DEFF Research Database (Denmark)

    Ismail, Abdullah

    2009-01-01

    The report maps out the telecom services industry and define the major attributes required to be considered for the analysis of successful diffusion of telecom services. This chapter is part of the final PhD report which focuses on a case study based on the comparative study of the diffusion of t...

  19. A new linguistic aggregation operator and its application to multiple attribute decision making

    Directory of Open Access Journals (Sweden)

    Jibin Lan

    2015-12-01

    Full Text Available In this paper, a new linguistic aggregation operator in linguistic environment is established and the desirable properties: monotonic, focus effect, idempotent, commutative and bounded are studied. Then, a new restricted ordering relation on the n-dimensional linguistic scales is proposed which satisfies strict pareto-dominance and is restricted by a weighting vector. A practical multiple attribute decision making methodology for an uncertain linguistic environment is proposed based on the proposed operator. An example is given to illustrate the rationality and validity of the new approach to decision making application.

  20. Some Induced Correlated Aggregating Operators with Interval Grey Uncertain Linguistic Information and Their Application to Multiple Attribute Group Decision Making

    Directory of Open Access Journals (Sweden)

    Zu-Jun Ma

    2013-01-01

    Full Text Available We propose the interval grey uncertain linguistic correlated ordered arithmetic averaging (IGULCOA operator and the induced interval grey uncertain linguistic correlated ordered arithmetic averaging (I-IGULCOA operator based on the correlation properties of the Choquet integral and the interval grey uncertain linguistic variables to investigate the multiple attribute group decision making (MAGDM problems, in which both the attribute weights and the expert weights are correlative. Firstly, the relative concepts of interval grey uncertain linguistic variables are defined and the operation rules between the two interval grey uncertain linguistic variables are established. Then, two new aggregation operators: the interval grey uncertain linguistic correlated ordered arithmetic averaging (IGULCOA operator and the induced interval grey uncertain linguistic correlated ordered arithmetic averaging (I-IGULCOA operator are developed and some desirable properties of the I-IGULCOA operator are studied, such as commutativity, idempotency, monotonicity, and boundness. Furthermore, the IGULCOA and I-IGULCOA operators based approach is developed to solve the MAGDM problems, in which both the attribute weights and the expert weights are correlative and the attribute values take the form of the interval grey uncertain linguistic variables. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

  1. Linguistic Multi-Attribute Group Decision Making with Risk Preferences and Its Use in Low-Carbon Tourism Destination Selection.

    Science.gov (United States)

    Lin, Hui; Wang, Zhou-Jing

    2017-09-17

    Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evaluation values are provided as linguistic terms and the attribute weight information is incomplete. In order to obtain a group risk preference captured by a linguistic term set with triangular fuzzy semantic information, a nonlinear programming model is established on the basis of individual risk preferences. We first convert individual linguistic-term-based decision matrices to their respective triangular fuzzy decision matrices, which are then aggregated into a group triangular fuzzy decision matrix. Based on this group decision matrix and the incomplete attribute weight information, a linear program is developed to find an optimal attribute weight vector. A detailed procedure is devised for tackling linguistic multi-attribute group decision making problems. A low-carbon tourism destination selection case study is offered to illustrate how to use the developed group decision-making model in practice.

  2. Man-machine Function Allocation Based on Uncertain Linguistic Multiple Attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    ZHANG An; TANG Zhili; ZHANG Chao

    2011-01-01

    Function allocation is one of the necessary stages in the design course of man-machine systems since appropriate function allocation makes the whole system more effective,reliable and inexpensive.Therefore,our research mainly focuses on the problems of function allocation between man and machine in man-machine systems,analyses each capability advantage of man and machine according to their respective inherent characteristics and makes a comparison between them.In view of highly uncertain characteristics of decision attribute value in the practical process,we introduce the uncertain linguistic multiple attribute decision making (ULMADM) method in the function allocation process.Meanwhile,we also use the uncertain extended weighted arithmetic averaging (UEWAA) method to determine the automation level range of the operator functions.Then,we eventually establish the automation level of man-machine function allocation by using the multi-attribute decision making algorithm,which is combined by UEWAA and uncertain linguistic hybrid aggregation (ULHA) operators.Finally,an example about function allocation is given,that is,fault diagnosis in the cockpit of civil aircraft.The final result of the example demonstrates that the proposed method about function allocation is feasible and effective.

  3. A simple approach to multiple attribute decision making using loss functions

    Science.gov (United States)

    Vommi, Vijaya Babu; Kakollu, Sravya Roy

    2017-10-01

    Multiple attribute decision making (MADM) methods are very much essential in all fields of engineering, management and other areas where limited alternatives exist and the decision maker has to select the best alternative. Different methods are available in the literature to tackle the MADM problems. The MADM problems are classified as scoring methods, compromising methods and concordance methods. The concordance methods are difficult to understand compared to scoring and compromising methods. Present work introduces a simple-to-understand and easy-to-convince method for multiple attribute decision making problems. This method is based on the philosophy of both scoring and comprising methods and relies on the loss for not choosing the ideal best alternative. Different loss functions such as linear, quadratic and cubic functions have been proposed to calculate the loss. Example problems have been taken from the literature and the proposed method is implemented. Besides the simplicity of the proposed method, the results obtained are found to be in close agreement with rather difficult methods.

  4. Multi-attribute mate choice decisions and uncertainty in the decision process: a generalized sequential search strategy.

    Science.gov (United States)

    Wiegmann, Daniel D; Weinersmith, Kelly L; Seubert, Steven M

    2010-04-01

    The behavior of females in search of a mate determines the likelihood that high quality males are encountered and adaptive search strategies rely on the effective use of available information on the quality of prospective mates. The sequential search strategy was formulated, like most models of search behavior, on the assumption that females obtain perfect information on the quality of encountered males. In this paper, we modify the strategy to allow for uncertainty of male quality and we determine how the magnitude of this uncertainty and the ability of females to inspect multiple male attributes to reduce uncertainty influence mate choice decisions. In general, searchers are sensitive to search costs and higher costs lower acceptance criteria under all versions of the model. The choosiness of searchers increases with the variability of the quality of prospective mates under conditions of the original model, but under conditions of uncertainty the choosiness of searchers may increase or decrease with the variability of inspected male attributes. The behavioral response depends on the functional relationship between observed male attributes and the fitness return to searchers and on costs associated with the search process. Higher uncertainty often induces searchers to pay more for information and under conditions of uncertainty the fitness return to searchers is never higher than under conditions of the original model. Further studies of the performance of alternative search strategies under conditions of uncertainty may consequently be necessary to identify search strategies likely to be used under natural conditions.

  5. Informing vaccine decision-making: A strategic multi-attribute ranking tool for vaccines-SMART Vaccines 2.0.

    Science.gov (United States)

    Knobler, Stacey; Bok, Karin; Gellin, Bruce

    2017-01-20

    National Institutes of Health. We aim to demonstrate the utility of SMART Vaccines 2.0 through the engagement of a community of relevant stakeholders and to identify a limited number of pilot projects to determine explicitly defined attribute preferences and the related data and model requirements that are responsive to user needs and able to improve the use of evidence for vaccine-related decision-making and consequential priorities of vaccination options.

  6. Multiple Attribute Decision Making Based Relay Vehicle Selection for Electric Vehicle Communication

    Directory of Open Access Journals (Sweden)

    Zhao Qiang

    2015-01-01

    Full Text Available Large-scale electric vehicle integration into power grid and charging randomly will cause serious impacts on the normal operation of power grid. Therefore, it is necessary to control the charging behavior of electric vehicle, while information transmission for electric vehicle is significant. Due to the highly mobile characteristics of vehicle, transferring information to power grid directly might be inaccessible. Relay vehicle (RV can be used for supporting multi-hop connection between SV and power grid. This paper proposes a multiple attribute decision making (MADM-based RV selection algorithm, which considers multiple attribute, including data transfer rate, delay, route duration. It takes the characteristics of electric vehicle communication into account, which can provide protection for the communication services of electric vehicle charging and discharging. Numerical results demonstrate that compared to previous algorithm, the proposed algorithm offer better performance in terms of throughput, transmission delay.

  7. Innovation attributes and adoption decisions: perspectives from leaders of a national sample of addiction treatment organizations.

    Science.gov (United States)

    Knudsen, Hannah K; Roman, Paul M

    2015-02-01

    Drawing on diffusion theory to further knowledge about evidence-based practices (EBPs) in the treatment of substance use disorders (SUDs), this study describes the perceived importance of innovation attributes in adoption decisions within a national sample of SUD treatment organizations. Face-to-face interviews were conducted with leaders of 307 organizations. A typology differentiated organizations reporting: (1) adoption of a treatment innovation in the past year ("recent adoption"), (2) plans to adopt an innovation in the upcoming year ("planned adoption"), or (3) no actual or planned adoption ("non-adoption"). About 30.7% of organizations reported recent adoption, 20.5% indicated planned adoption, and 48.8% were non-adopters. Leaders of organizations reporting recent adoption (n=93) or planned adoption (n=62) rated the importance of innovation attributes, including relative advantage, compatibility, complexity, and observability, on these adoption decisions using a Likert scale that ranged from 0 to 5. Innovation attributes most strongly endorsed were consistency with the program's treatment philosophy (mean=4.47, SD=1.03), improvement in the program's reputation with referral sources (mean=4.00, SD=1.33), reputational improvement with clients and their families (mean=3.98, SD=1.31), and reductions in treatment dropout (mean=3.75, SD=1.54). Innovation characteristics reflecting organizational growth and implementation costs were less strongly endorsed. Adopters and planners were generally similar in their importance ratings. There were modest differences in importance ratings when pharmacological innovations were compared to psychosocial interventions. These findings are consistent with diffusion theory and suggest that efforts to link EBPs with client satisfaction and potential reputational benefits may enhance the diffusion of EBPs. Attention to these attributes when developing and evaluating SUD treatment interventions may enhance efforts to increase

  8. When authorities' commands backfire: attributions about consensus and effects on deviant decision making.

    Science.gov (United States)

    Conway, Lucian Gideon; Schaller, Mark

    2005-09-01

    The perception of consensus typically produces conformity, but specific attributional circumstances may produce deviance instead. Ironically, the command of an authority figure may create one such circumstance. Participants were presented with scenarios in which they had to make a choice between 2 options. Prior to their decision, they observed others all making a single choice. In some conditions, this consensus occurred following an authority's explicit command to make that choice. Results revealed the hypothesized effect--the authority's command led participants to make deviant decisions-and revealed that this effect was moderated by the authority's continued presence, expertise, the target(s) of the command, and the ability of perceivers to use their cognitive resources.

  9. Hybrid aggregation operator and its application to multiple attribute decision making problems

    Institute of Scientific and Technical Information of China (English)

    XuZeshui; DaQingli

    2003-01-01

    By combining the advantages of the additive weighted mean (AWM) operator and the ordered weighted averaging (OWA) operator, this paper first presents a hybrid operator for aggregating data information, and then proposes a hybrid aggregation (HA) operator-based method for multiple attribute decision making (MADM) problems. The theoretical analyses and the numerical results show that the HA operator generalizes both the AWM and OWA operators, and reflects the importance of both the given argument and the ordered position of the argument. Thus, the HA operator can reflect better real situations in practical applications. Finally, an illustrative example is given.

  10. Frank Aggregation Operators for Triangular Interval Type-2 Fuzzy Set and Its Application in Multiple Attribute Group Decision Making

    Directory of Open Access Journals (Sweden)

    Jindong Qin

    2014-01-01

    Full Text Available This paper investigates an approach to multiple attribute group decision-making (MAGDM problems, in which the individual assessments are in the form of triangle interval type-2 fuzzy numbers (TIT2FNs. Firstly, some Frank operation laws of triangle interval type-2 fuzzy set (TIT2FS are defined. Secondly, some Frank aggregation operators such as the triangle interval type-2 fuzzy Frank weighted averaging (TIT2FFWA operator and the triangle interval type-2 fuzzy Frank weighted geometric (TIT2FFWG operator are developed for aggregation TIT2FNs. Furthermore, some desirable properties of the two aggregation operators are analyzed in detail. Finally, an approach based on TIT2FFWA (or TIT2FFWG operator to solve MAGDM is developed. An illustrative example about supplier selection is provided to illustrate the developed procedures. The results demonstrate the practicality and effectiveness of our new method.

  11. Perceptual grouping does not affect multi-attribute decision making if no processing costs are involved.

    Science.gov (United States)

    Ettlin, Florence; Bröder, Arndt

    2015-05-01

    Adaptive strategy selection implies that a decision strategy is chosen based on its fit to the task and situation. However, other aspects, such as the way information is presented, can determine information search behavior; especially when the application of certain strategies over others is facilitated. But are such display effects on multi-attribute decisions also at work when the manipulation does not entail differential costs for different decision strategies? Three Mouselab experiments with hidden information and one eye tracking experiment with an open information board revealed that decision behavior is unaffected by purely perceptual manipulations of the display based on Gestalt principles; that is, based on manipulations that induce no noteworthy processing costs for different information search patterns. We discuss our results in the context of previous findings on display effects; specifically, how the combination of these findings and our results reveal the crucial role of differential processing costs for different strategies for the emergence of display effects. This finding describes a boundary condition of the commonly acknowledged influence of information displays and is in line with the ideas of adaptive strategy selection and cost-benefit tradeoffs.

  12. Preference Reversals in Decision Making Under Risk are Accompanied by Changes in Attention to Different Attributes

    Science.gov (United States)

    Kim, Betty E.; Seligman, Darryl; Kable, Joseph W.

    2012-01-01

    Recent work has shown that visual fixations reflect and influence trial-to-trial variability in people’s preferences between goods. Here we extend this principle to attribute weights during decision making under risk. We measured eye movements while people chose between two risky gambles or bid on a single gamble. Consistent with previous work, we found that people exhibited systematic preference reversals between choices and bids. For two gambles matched in expected value, people systematically chose the higher probability option but provided a higher bid for the option that offered the greater amount to win. This effect was accompanied by a shift in fixations of the two attributes, with people fixating on probabilities more during choices and on amounts more during bids. Our results suggest that the construction of value during decision making under risk depends on task context partly because the task differentially directs attention at probabilities vs. amounts. Since recent work demonstrates that neural correlates of value vary with visual fixations, our results also suggest testable hypotheses regarding how task context modulates the neural computation of value to generate preference reversals. PMID:22833715

  13. Defining Decisive: Toward Developing a Doctrinal Understanding of Decisive Operations and Decisive Points for the 21st Century Force

    Science.gov (United States)

    2001-05-30

    final.” As Clausewitz observed : “Lastly, even the ultimate outcome of a war is not always to be regarded as final. The defeated state often...Josephus’ observation of their prowess in the quotation above, turned decisive military action into an empire of amazing political stability. That...uniform application of a decisive point methology (to include the Marine Corps’ CC – CR – CV approach) within military doctrine, will be required before

  14. Explaining the use of attribute cut-off values in decision making by means of involvement

    DEFF Research Database (Denmark)

    Peschel, Anne Odile; Grebitus, Carola; Colson, Gregory;

    2016-01-01

    evidence on consumers’ heterogeneous use of attribute cut-offs with a unique focus on the relationship with consumer involvement, a key component in consumer choice theory. Behavioral data from an online choice experiment on beef steak employing shelf simulations are combined with questions defining...... a latent class model identifies several key consumer segments (e.g., a price sensitive group) based on their choice behavior and reveals that the relationship between involvement, cut-off use and cut-off violations is not uniform across consumer segments....

  15. A note on “An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems”

    Directory of Open Access Journals (Sweden)

    R. Venkata Rao

    2012-04-01

    Full Text Available A paper published by Maniya and Bhatt (2011 (An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems, Computers & Industrial Engineering, 61, 542-549 proposed an alternative multiple attribute decision making method named as “Preference Selection Index (PSI method” for selection of an optimal facility layout design. The authors had claimed that the method was logical and more appropriate and the method gives directly the optimal solution without assigning the relative importance between the facility layout design selection attributes. This note discusses the mathematical validity and the shortcomings of the PSI method.

  16. Material Selection for Dye Sensitized Solar Cells Using Multiple Attribute Decision Making Approach

    Directory of Open Access Journals (Sweden)

    Sarita Baghel

    2014-01-01

    Full Text Available Dye sensitized solar cells (DSCs provide a potential alternative to conventional p-n junction photovoltaic devices. The semiconductor thin film plays a crucial role in the working of DSC. This paper aims at formulating a process for the selection of optimum semiconductor material for nanostructured thin film using multiple attribute decision making (MADM approach. Various possible available semiconducting materials and their properties like band gap, cost, mobility, rate of electron injection, and static dielectric constant are considered and MADM technique is applied to select the best suited material. It was found that, out of all possible candidates, titanium dioxide (TiO2 is the best semiconductor material for application in DSC. It was observed that the proposed results are in good agreement with the experimental findings.

  17. Attribute Based Selection of Thermoplastic Resin for Vacuum Infusion Process: A Decision Making Methodology

    DEFF Research Database (Denmark)

    Raghavalu Thirumalai, Durai Prabhakaran; Lystrup, Aage; Løgstrup Andersen, Tom

    2012-01-01

    The composite industry looks toward a new material system (resins) based on thermoplastic polymers for the vacuum infusion process, similar to the infusion process using thermosetting polymers. A large number of thermoplastics are available in the market with a variety of properties suitable...... for different engineering applications, and few of those are available in a not yet polymerised form suitable for resin infusion. The proper selection of a new resin system among these thermoplastic polymers is a concern for manufactures in the current scenario and a special mathematical tool would...... be beneficial. In this paper, the authors introduce a new decision making tool for resin selection based on significant attributes. This article provides a broad overview of suitable thermoplastic material systems for vacuum infusion process available in today’s market. An illustrative example—resin selection...

  18. Evaluation of cabin design based on the method of multiple attribute group decision-making

    Science.gov (United States)

    Li, Xiaowen; Lv, Linlin; Li, Ping

    2013-07-01

    New century, cabin design has become an important factor affecting the compact capability of modern naval vessels. Traditional cabin design, based on naval rules and designer's subjective feeling and experience, holds that weapons and equipments are more important than habitability. So crew's satisfaction is not high to ships designed by traditional methods. In order to solve this problem, the method of multiple attribute group decision-making was proposed to evaluate the cabin design projects. This method considered many factors affecting cabin design, established a target system, quantified fuzzy factors in cabin design, analyzed the need of crews and gave a reasonable evaluation on cabin design projects. Finally, an illustrative example analysis validates the effectiveness and reliability of this method.

  19. A decision-algorithm defining the rehabilitation approach: 'Facial oral tract therapy'

    DEFF Research Database (Denmark)

    Hansen, Trine S; Jakobsen, Daniela

    2010-01-01

    and eating; oral hygiene; breathing, voice, and speech articulation; facial expression, giving guidance on interventions. The algorithm outlines all important components in the treatment that the therapist should decide to use or not to use in the intervention. The algorithm is supported by a manual......AIM: The aim of this study was to describe and define the rehabilitation approach: 'Facial Oral Tract Therapy' (F.O.T.T.). METHOD: We defined the content and process of the rehabilitation approach (F.O.T.T.) in a decision-algorithm supported by a manual with supplementary material. The algorithm...

  20. 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.

  1. 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)

  2. The CAULDRON game: Helping decision makers understand extreme weather event attribution

    Science.gov (United States)

    Walton, P.; Otto, F. E. L.

    2014-12-01

    There is a recognition from academics and stakeholders that climate science has a fundamental role to play in the decision making process, but too frequently there is still uncertainty about what, when, how and why to use it. Stakeholders suggest that it is because the science is presented in an inaccessible manner, while academics suggest it is because the stakeholders do not have the scientific knowledge to understand and apply the science appropriately. What is apparent is that stakeholders need support, and that there is an onus on academia to provide it. This support is even more important with recent developments in climate science, such as extreme weather event attribution. We are already seeing the impacts of extreme weather events around the world causing lost of life and damage to property and infrastructure with current research suggesting that these events could become more frequent and more intense. If this is to be the case then a better understanding of the science will be vital in developing robust adaptation and business planning. The use of games, role playing and simulations to aid learning has long been understood in education but less so as a tool to support stakeholder understanding of climate science. Providing a 'safe' space where participants can actively engage with concepts, ideas and often emotions, can lead to deep understanding that is not possible through more passive mechanisms such as papers and web sites. This paper reports on a game that was developed through a collaboration led by the Red Cross/Red Crescent, University of Oxford and University of Reading to help stakeholders understand the role of weather event attribution in the decision making process. The game has already been played successfully at a number of high profile events including COP 19 and the African Climate Conference. It has also been used with students as part of a postgraduate environmental management course. As well as describing the design principles of the

  3. 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

  4. A multi attribute decision making method for selection of optimal assembly line

    Directory of Open Access Journals (Sweden)

    B. Vijaya Ramnath

    2011-01-01

    Full Text Available With globalization, sweeping technological development, and increasing competition, customers are placing greater demands on manufacturers to increase quality, flexibility, on time delivery of product and less cost. Therefore, manufacturers must develop and maintain a high degree of coherence among competitive priorities, order winning criteria and improvement activities. Thus, the production managers are making an attempt to transform their organization by adopting familiar and beneficial management philosophies like cellular manufacturing (CM, lean manufacturing (LM, green manufacturing (GM, total quality management (TQM, agile manufacturing (AM, and just in time manufacturing (JIT. The main objective of this paper is to propose an optimal assembly method for an engine manufacturer’s assembly line in India. Currently, the Indian manufacturer is following traditional assembly method where the raw materials for assembly are kept along the sideways of conveyor line. It consumes more floor space, more work in process inventory, more operator's walking time and more operator's walking distance per day. In order to reduce the above mentioned wastes, lean kitting assembly is suggested by some managers. Another group of managers suggest JIT assembly as it consumes very less inventory cost compared to other types of assembly processes. Hence, a Multi-attribute decision making model namely analytical hierarchy process (AHP is applied to analyse the alternative assembly methods based on various important factors.

  5. Sustainable Assessment of Aerosol Pollution Decrease Applying Multiple Attribute Decision-Making Methods

    Directory of Open Access Journals (Sweden)

    Audrius Čereška

    2016-06-01

    Full Text Available Air pollution with various materials, particularly with aerosols, increases with the advances in technological development. This is a complicated global problem. One of the priorities in achieving sustainable development is the reduction of harmful technological effects on the environment and human health. It is a responsibility of researchers to search for effective methods of reducing pollution. The reliable results can be obtained by combining the approaches used in various fields of science and technology. This paper aims to demonstrate the effectiveness of the multiple attribute decision-making (MADM methods in investigating and solving the environmental pollution problems. The paper presents the study of the process of the evaporation of a toxic liquid based on using the MADM methods. A schematic view of the test setup is presented. The density, viscosity, and rate of the released vapor flow are measured and the dependence of the variation of the solution concentration on its temperature is determined in the experimental study. The concentration of hydrochloric acid solution (HAS varies in the range from 28% to 34%, while the liquid is heated from 50 to 80 °C. The variations in the parameters are analyzed using the well-known VIKOR and COPRAS MADM methods. For determining the criteria weights, a new CILOS (Criterion Impact LOSs method is used. The experimental results are arranged in the priority order, using the MADM methods. Based on the obtained data, the technological parameters of production, ensuring minimum environmental pollution, can be chosen.

  6. Defining and comparing vibration attributes of AlSi10 foam and CFRP coated AlSi10 foam materials

    Science.gov (United States)

    Çolak, O.; Yünlü, L.

    2017-06-01

    Now, Aluminum materials have begun being manufactured as porous structures and being used with additive composite materials through emerging manufacturing technologies. These materials those porous structures have also begun being used in many areas such as automotive and aerospace due to light-weighted structures. In addition to examining mechanical behavior of porous metallic structures, examining vibration behavior is important for defining characteristic specifications. In this study, vibration attributes belong to %80 porous AlSi10 foam and CFRP coated %80 porous AlSi10 foam are determined with modal analysis. Modal parameters such as natural frequencies and damping coefficient from frequency response functions at the end of hammer impact tests. It is found that natural frequency of CFRP coated AlSi10 foam’s is 1,14 times bigger than AlSi10 foam and damping coefficient of CFRP coated AlSi10 foam is 5 times bigger than AlSi10 foam’s with tests. Dynamic response of materials in various conditions is simulated by evaluating modal parameters with FEM. According to results of the study, CFRP coating on AlSi10 foam effect vibration damping and resonance avoidance ability positively.

  7. Survival or Mortality : Does Risk Attribute Framing Influence Decision-Making Behavior in a Discrete Choice Experiment?

    NARCIS (Netherlands)

    Veldwijk, Jorien; Essers, Brigitte A B; Lambooij, Mattijs S; Dirksen, Carmen D; Smit, Henriette A; de Wit, G Ardine

    2016-01-01

    OBJECTIVE: To test how attribute framing in a discrete choice experiment (DCE) affects respondents' decision-making behavior and their preferences. METHODS: Two versions of a DCE questionnaire containing nine choice tasks were distributed among a representative sample of the Dutch population aged 55

  8. Does Response Evaluation and Decision (RED) Mediate the Relation between Hostile Attributional Style and Antisocial Behavior in Adolescence?

    Science.gov (United States)

    Fontaine, Reid Griffith; Tanha, Marieh; Yang, Chongming; Dodge, Kenneth A.; Bates, John E.; Pettit, Gregory S.

    2010-01-01

    The role of hostile attributional style (HAS) in antisocial development has been well-documented. We analyzed longitudinal data on 585 youths (48% female; 19% ethnic minority) to test the hypothesis that response evaluation and decision (RED) mediates the relation between HAS and antisocial behavior in adolescence. In Grades 10 and 12, adolescent…

  9. Defining reactivity: how several methodological decisions can affect conclusions about emotional reactivity in psychopathology.

    Science.gov (United States)

    Nelson, Brady D; Shankman, Stewart A; Olino, Thomas M; Klein, Daniel N

    2011-12-01

    There are many important methodological decisions that need to be made when examining emotional reactivity in psychopathology. In the present study, we examined the effects of two such decisions in an investigation of emotional reactivity in depression: (1) which (if any) comparison condition to employ; and (2) how to define change. Depressed (N = 69) and control (N = 37) participants viewed emotion-inducing film clips while subjective and facial responses were measured. Emotional reactivity was defined using no comparison condition (i.e., raw scores), baseline comparison condition (i.e., no stimulus presented), and neutral comparison condition (i.e., neutral stimulus presented). Change in emotional reactivity was assessed using four analytic approaches: difference scores, percentage change, residualised change, and ANCOVA. Results differed among the three comparison conditions and among several of the analytic approaches. Overall, our investigation suggests that choosing a comparison condition and the definition of change can significantly influence the presence of group differences in emotional reactivity. Recommendations for studies of emotional reactivity in psychopathology are discussed.

  10. Another Form of Correlation Coefficient between Single Valued Neutrosophic Sets and Its Multiple Attribute Decision-Making Method

    Directory of Open Access Journals (Sweden)

    Jun Ye

    2013-03-01

    Full Text Available A single valued neutrosophic set (SVNS, which is the subclass of a neutrosophic set, can be considered as a powerful tool to express the indeterminate and inconsistent information in the process of decision making. Then, correlation is one of the most broadly applied indices in many fields and also an important measure in data analysis and classification, pattern recognition, decision making and so on. Therefore, we propose another form of correlation coefficient between SVNSs and establish a multiple attribute decision making method using the correlation coefficient of SVNSs under single valued neutrosophic environment. Through the weighted correlation coefficient between each alternative and the ideal alternative, the ranking order of all alternatives can be determined and the best alternative can be easily identified as well. Finally, two illustrative examples are employed to illustrate the actual applications of the proposed decision-making approach.

  11. Improved attribute reduction algorithm of fuzzy decision table%模糊决策表的一种改进的属性约简算法

    Institute of Scientific and Technical Information of China (English)

    林山; 项菲

    2011-01-01

    经典粗糙集对模糊决策表处理能力十分有限.把模糊集和经典粗糙集结合起来,对模糊决策表属性约简算法进行了研究.定义了新的相似度、相似类以及条件属性划分形成的相似类簇;给出了两个定理;提出了一个新的属性约简算法,并用实例进行了验证.%Classical rough set has a limited processing capacity in fuzzy decision table.Fuzzy set is combined with classical rough setAttribute reduction algorithm of fuzzy decision table is studied.New similarity degree and new similarity category are defined, in the meantime, similarity category cluster which is divided by condition attribute is provided.Two theorems are presented.A new attribute reduction algorithm is proposed.The new algorithm is verified through an illustrative example.

  12. Influence of Product and Supplier Attributes on Hardwood Lumber Purchase Decisions

    Science.gov (United States)

    Craig L. Forbes; Steven A. Sinclair; Robert J. Bush; Philip A. Araman

    1994-01-01

    This study determined the influence of product and supplier attributes on hardwood lumber purchases by wood furniture manufacturers and investigated differences across manufacturer type, geographic region, firm size, and kiln ownership. Professional lumber buyers rated the importance and difference across suppliers of various attributes. Purchase influence scores were...

  13. δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions

    Directory of Open Access Journals (Sweden)

    Hengrong Ju

    2014-01-01

    Full Text Available Decision-theoretic rough set is a quite useful rough set by introducing the decision cost into probabilistic approximations of the target. However, Yao’s decision-theoretic rough set is based on the classical indiscernibility relation; such a relation may be too strict in many applications. To solve this problem, a δ-cut decision-theoretic rough set is proposed, which is based on the δ-cut quantitative indiscernibility relation. Furthermore, with respect to criterions of decision-monotonicity and cost decreasing, two different algorithms are designed to compute reducts, respectively. The comparisons between these two algorithms show us the following: (1 with respect to the original data set, the reducts based on decision-monotonicity criterion can generate more rules supported by the lower approximation region and less rules supported by the boundary region, and it follows that the uncertainty which comes from boundary region can be decreased; (2 with respect to the reducts based on decision-monotonicity criterion, the reducts based on cost minimum criterion can obtain the lowest decision costs and the largest approximation qualities. This study suggests potential application areas and new research trends concerning rough set theory.

  14. A procurement decision support mechanism on multi-attribute fuzzy-interval auctions

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2016-01-01

    Procurement systems are the basis for assuring efficiency and fairness in organizations. Consequently, the development of procurement systems faces an ongoing challenge in designing trading systems that facilitate transparent competition on both price and multiple attributes, as well as ensuring...

  15. The double-edged sword of genetic accounts of criminality: causal attributions from genetic ascriptions affect legal decision making.

    Science.gov (United States)

    Cheung, Benjamin Y; Heine, Steven J

    2015-12-01

    Much debate exists surrounding the applicability of genetic information in the courtroom, making the psychological processes underlying how people consider this information important to explore. This article addresses how people think about different kinds of causal explanations in legal decision-making contexts. Three studies involving a total of 600 Mechanical Turk and university participants found that genetic, versus environmental, explanations of criminal behavior lead people to view the applicability of various defense claims differently, perceive the perpetrator's mental state differently, and draw different causal attributions. Moreover, mediation and path analyses highlight the double-edged nature of genetic attributions-they simultaneously reduce people's perception of the perpetrator's sense of control while increasing people's tendencies to attribute the cause to internal factors and to expect the perpetrator to reoffend. These countervailing relations, in turn, predict sentencing in opposite directions, although no overall differences in sentencing or ultimate verdicts were found. © 2015 by the Society for Personality and Social Psychology, Inc.

  16. Salient nutrition labels increase the integration of health attributes in food decision-making

    National Research Council Canada - National Science Library

    Laura Enax; Ian Krajbich; Bernd Weber

    2016-01-01

    .... More specifically, we used a binary decision task between products along with two different nutrition labels to examine how salient, color-coded labels, compared to purely information-based labels...

  17. Defining falciparum malaria attributable sever febrile illness in moderate to high transmission settings based on plasma PfHRP2 concentration

    NARCIS (Netherlands)

    Hendriksen, I.C.E.; White, L.J.; Veenemans, J.; Verhoef, J.C.M.

    2013-01-01

    Background. In malaria-endemic settings, asymptomatic parasitemia complicates the diagnosis of malaria. Histidine-rich protein 2 (HRP2) is produced by Plasmodium falciparum, and its plasma concentration reflects the total body parasite burden. We aimed to define the malaria-attributable fraction of

  18. Pharmacy patronage: identifying key factors in the decision making process using the determinant attribute approach.

    Science.gov (United States)

    Franic, Duska M; Haddock, Sarah M; Tucker, Leslie Tootle; Wooten, Nathan

    2008-01-01

    To use the determinant attribute approach, a research method commonly used in marketing to identify the wants of various consumer groups, to evaluate consumer pharmacy choice when having a prescription order filled in different pharmacy settings. Cross sectional. Community independent, grocery store, community chain, and discount store pharmacies in Georgia between April 2005 and April 2006. Convenience sample of adult pharmacy consumers (n = 175). Survey measuring consumer preferences on 26 attributes encompassing general pharmacy site features (16 items), pharmacist characteristics (5 items), and pharmacy staff characteristics (5 items). 26 potential determinant attributes for pharmacy selection. 175 consumers were surveyed at community independent (n = 81), grocery store (n = 44), community chain (n = 27), or discount store (n = 23) pharmacy settings. The attributes of pharmacists and staff at all four pharmacy settings were shown to affect pharmacy patronage motives, although consumers frequenting non-community independent pharmacies were also motivated by secondary convenience factors, e.g., hours of operation, and prescription coverage. Most consumers do not perceive pharmacies as merely prescription-distribution centers that vary only by convenience. Prescriptions are not just another economic good. Pharmacy personnel influence pharmacy selection; therefore, optimal staff selection and training is likely the greatest asset and most important investment for ensuring pharmacy success.

  19. 一种新的多属性决策方法%A New Approach of Fuzzy Multi-attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    潘丽娜

    2012-01-01

    For the fuzzy multi-attribute decision making (FMADM) problems,a new FMADM method is proposed in which the attribute values is in the form triangular fuzzy numbers. Firstly, two central judgment matrix of trangular fuzzy numbers are defined. Secondly. the concepts and formulas for predominance strength and predominance comparative matrix between alternatives are introduced > and the alternatives are ranked according to the priority method of fuzzy complementary judgment matrix. An example shows the rationality of decision-making approach and the validity of the algorithm mentioned above.%针对模糊多属性决策问题,提出了一种新的属性值以三角模糊数形式给出的模糊多属性决策方法.首先定义了两三角模糊数的中心决策矩阵;其次通过引入方案间优势度和优势度比较矩阵概念及其计算公式,从而给出了方案的排序,实例分析说明了所提出的决策方法的合理性及其算法的有效性.

  20. An efficient algorithm for finding optimal gain-ratio multiple-split tests on hierarchical attributes in decision tree learning

    Energy Technology Data Exchange (ETDEWEB)

    Almuallim, H. [King Fahd Univ. of Petroleum & Minerals, Dhahran (Saudi Arabia); Akiba, Yasuhiro; Kaneda, Shigeo [NTT Communication Science Labs., Kanagawa (Japan)

    1996-12-31

    Given a set of training examples S and a tree-structured attribute x, the goal in this work is to find a multiple-split test defined on x that maximizes Quinlan`s gain-ratio measure. The number of possible such multiple-split tests grows exponentially in the size of the hierarchy associated with the attribute. It is, therefore, impractical to enumerate and evaluate all these tests in order to choose the best one. We introduce an efficient algorithm for solving this problem that guarantees maximizing the gain-ratio over all possible tests. For a training set of m examples and an attribute hierarchy of height d, our algorithm runs in time proportional to dm, which makes it efficient enough for practical use.

  1. Selection of an appropriate wastewater treatment technology: a scenario-based multiple-attribute decision-making approach.

    Science.gov (United States)

    Kalbar, Pradip P; Karmakar, Subhankar; Asolekar, Shyam R

    2012-12-30

    Many technological alternatives for wastewater treatment are available, ranging from advanced technologies to conventional treatment options. It is difficult to select the most appropriate technology from among a set of available alternatives to treat wastewater at a particular location. Many factors, such as capital costs, operation and maintenance costs and land requirement, are involved in the decision-making process. Sustainability criteria must also be incorporated into the decision-making process such that appropriate technologies are selected for developing economies such as that of India. A scenario-based multiple-attribute decision-making (MADM) methodology has been developed and applied to the selection of wastewater treatment alternative. The four most commonly used wastewater treatment technologies for treatment of municipal wastewater in India are ranked for various scenarios. Six scenarios are developed that capture the regional and local societal priorities of urban, suburban and rural areas and translate them into the mathematical algorithm of the MADM methodology. The articulated scenarios depict the most commonly encountered decision-making situations in addressing technology selection for wastewater treatment in India. A widely used compensatory MADM technique, TOPSIS, has been selected to rank the alternatives. Seven criteria with twelve indicators are formulated to evaluate the alternatives. Different weight matrices are used for each scenario, depending on the priorities of the scenario. This study shows that it is difficult to select the most appropriate wastewater treatment alternative under the "no scenario" condition (equal weights given to each attribute), and the decision-making methodology presented in this paper effectively identifies the most appropriate wastewater treatment alternative for each of the scenarios.

  2. Parental Influences, Career Decision-Making Attributions, and Self-Efficacy: Differences for Men and Women?

    Science.gov (United States)

    Lease, Suzanne H.; Dahlbeck, David T.

    2009-01-01

    This study investigated the relations of maternal and paternal attachment, parenting styles, and career locus of control to college students' career decision self-efficacy and explored whether these relations differed by student gender. Data analysis using hierarchical multiple regression revealed that attachment was relevant for females' career…

  3. Parental Influences, Career Decision-Making Attributions, and Self-Efficacy: Differences for Men and Women?

    Science.gov (United States)

    Lease, Suzanne H.; Dahlbeck, David T.

    2009-01-01

    This study investigated the relations of maternal and paternal attachment, parenting styles, and career locus of control to college students' career decision self-efficacy and explored whether these relations differed by student gender. Data analysis using hierarchical multiple regression revealed that attachment was relevant for females' career…

  4. The Effects of Applicant Attractiveness, Managerial Attributes and Gender on Executive Employment Decisions.

    Science.gov (United States)

    Best, Bethia J.; Spector, Paul E.

    Although it has been shown that physical attractiveness is an advantage to male applicants for managerial positions, it is not clear whether attractiveness is an advantage or disadvantage to female applicants for these jobs. Male (N=25) and female (N=22) business administration students were asked to simulate selection decisions for a high level…

  5. Decision support for personalized cloud service selection through multi-attribute trustworthiness evaluation.

    Science.gov (United States)

    Ding, Shuai; Xia, Cheng-Yi; Xia, Chen-Yi; Zhou, Kai-Le; Yang, Shan-Lin; Shang, Jennifer S

    2014-01-01

    Facing a customer market with rising demands for cloud service dependability and security, trustworthiness evaluation techniques are becoming essential to cloud service selection. But these methods are out of the reach to most customers as they require considerable expertise. Additionally, since the cloud service evaluation is often a costly and time-consuming process, it is not practical to measure trustworthy attributes of all candidates for each customer. Many existing models cannot easily deal with cloud services which have very few historical records. In this paper, we propose a novel service selection approach in which the missing value prediction and the multi-attribute trustworthiness evaluation are commonly taken into account. By simply collecting limited historical records, the current approach is able to support the personalized trustworthy service selection. The experimental results also show that our approach performs much better than other competing ones with respect to the customer preference and expectation in trustworthiness assessment.

  6. Young Women's Contraceptive Decision Making: Do Preferences for Contraceptive Attributes Align with Method Choice?

    Science.gov (United States)

    Marshall, Cassondra; Guendelman, Sylvia; Mauldon, Jane; Nuru-Jeter, Amani

    2016-09-01

    Understanding how women's preferences for certain attributes of contraceptive methods relate to their method choice can inform the content of contraceptive counseling. Data from 715 women aged 18-29 who had ever used contraceptives were drawn from the 2009 National Survey of Reproductive and Contraceptive Knowledge. Chi-square tests and multivariable logistic regression analyses were used to examine how women's preferences for specific contraceptive attributes were related to their social and demographic characteristics and their current contraceptive choice. The majority of women considered it extremely important for a method to be very effective at preventing pregnancy (79%) and to be effective at preventing HIV and STDs (67%); fewer than one-quarter felt similarly about a method's being hormone-free (22%). Women who felt it was quite or extremely important for a method to be very effective at preventing pregnancy were not more likely to use the most effective methods than were women who considered this attribute not at all or only slightly important. Women who considered it quite or extremely important for a method to be hormone-free were less likely than others to use hormonal methods (odds ratio, 0.4), and women who considered STD protection quite or extremely important had elevated odds of relying on condoms alone, rather than on an effective contraceptive method alone (3.6). Most women desire a very effective method for pregnancy prevention, but it is unclear how this translates to their contraceptive use. The associations between women's preferred contraceptive attributes and method choice warrant further attention. Copyright © 2016 by the Guttmacher Institute.

  7. Analytical performance, reference values and decision limits. A need to differentiate between reference intervals and decision limits and to define analytical quality specifications

    DEFF Research Database (Denmark)

    Petersen, Per Hyltoft; Jensen, Esther A; Brandslund, Ivan

    2012-01-01

    With the increasing use of decision limits (action limits, cut-off points) specified for a number of analytical components in diagnosis and for action in critical situations, formulated in national or international recommendations, the traditional interpretation of reference intervals has been....... Analytical quality specifications for reference intervals have been defined for bias since the 1990s, but in the recommendations specified in the clinical guidelines analytical quality specifications are only scarcely defined. The demands for negligible biases are, however, even more essential for decision...

  8. THE INFLUENCE OF THEME AS SLOT MACHINE ATTRIBUTE ON CASINO GAMERS DECISION-MAKING

    Directory of Open Access Journals (Sweden)

    Elizma Wannenburg

    2013-01-01

    Full Text Available When entering the casino gaming area, gamers are faced with hundreds of slot machines that vary in terms of themes, colours and sounds. Some gaming situations are characterized by low gamer involvement, but with considerable brand differences. Gamers visiting a casino have the option to play on various types of slot machines. Slot machine games range from single-bar to triple-bar combinations that range in themes and symbols. Some gamers prefer to play on the same slot machine game each time they visit the casino; while other gamers often do slot machine switching. The hypothesis set for this study was to determine if any differences exist between male and female slot machine gamers regarding the way they perceive theme as a slot machine attribute. The sample population identified consists of slot machine gamers busy playing at a specific slot machine in the gaming area of the casino. Cluster sampling was used in the selection of the six South African casinos. A total of six hundred and thirty structured questionnaires were obtained through personal interviews in the gaming areas of the casinos. The raw data collected were statistically analysed on the SPSS program. The main findings of the research indicated that no significant differences exist between male and female slot machine gamers regarding the way they perceive theme as a slot machine attribute. The findings of this study could assist the casino management and slot machine manufacturers in understanding how themes as slot machine attributes influence gamers. By understanding the importance of themes for slot machine gamers can assist casino management and slot machine manufacturers in the development of new slot machines.

  9. Interface Psychology: Touchscreens Change Attribute Importance, Decision Criteria, and Behavior in Online Choice.

    Science.gov (United States)

    Brasel, S Adam; Gips, James

    2015-09-01

    As the rise of tablets and smartphones move the dominant interface for digital content from mouse or trackpad to direct touchscreen interaction, work is needed to explore the role of interfaces in shaping psychological reactions to online content. This research explores the role of direct-touch interfaces in product search and choice, and isolates the touch element from other form factor changes such as screen size. Results from an experimental study using a travel recommendation Web site show that a direct-touch interface (vs. a more traditional mouse interface) increases the number of alternatives searched, and biases evaluations toward tangible attributes such as décor and furniture over intangible attributes such as WiFi and employee demeanor. Direct-touch interfaces also elevate the importance of internal and subjective satisfaction metrics such as instinct over external and objective metrics such as reviews, which in turn increases anticipated satisfaction metrics. Findings suggest that interfaces can strongly affect how online content is explored, perceived, remembered, and acted on, and further work in interface psychology could be as fruitful as research exploring the content itself.

  10. A Hybrid Genetic Algorithm for Reduct of Attributes in Decision System Based on Rough Set Theory

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Knowledge reduction is an important issue when dealing with huge amounts of data. And it has been proved that computing the minimal reduct of decision system is NP-complete. By introducing heuristic information into genetic algorithm, we proposed a heuristic genetic algorithm. In the genetic algorithm, we constructed a new operator to maintaining the classification ability. The experiment shows that our algorithm is efficient and effective for minimal reduct, even for the special example that the simple heuristic algorithm can't get the right result.

  11. THE PROFITABILITY – AN ATTRIBUTE OF FINANCIAL AND ACCOUNTING NATURE IN THE DECISION TO INVEST

    Directory of Open Access Journals (Sweden)

    Mihaela TULVINSCHI

    2014-06-01

    Full Text Available The investments represent the primary factor in the development strategy of an economic entity. The role of the investments begins with their purpose, meaning that the investments involve the increasing of a stock portfolio. The research methodology that is approached in this article is based on the analysis of two factors: net present value and internal rate of profitability. Capital budgeting in an investment project that, without a prior analysis of the efficiency of such a decision, can lead to the total or partial loss of the invested capital. An investment project is efficient if the net present value is positive and has a larger value. An investment project becomes more profitable as the value of the internal rate of profitability gets higher. If the two factors are correctly interpreted they lead to exactly the same conclusions regarding the determination of an investment profitability. We can conclude that the two efficiency factors are complementary, their simultaneous use leading to a better grounding of the investment decision than their separate use.

  12. Analytical performance, reference values and decision limits. A need to differentiate between reference intervals and decision limits and to define analytical quality specifications.

    Science.gov (United States)

    Petersen, Per Hyltoft; Jensen, Esther A; Brandslund, Ivan

    2011-12-23

    With the increasing use of decision limits (action limits, cut-off points) specified for a number of analytical components in diagnosis and for action in critical situations, formulated in national or international recommendations, the traditional interpretation of reference intervals has been uncertain, and sometimes the two concepts are being mixed up by incorporating risk calculations in the reference intervals. There is, therefore, a need to clarify the two concepts and to keep them definitely separated. Reference intervals are the 95% limits for the descriptions of the distributions of the values of analytical components measured on reference samples from reference individuals. Decision limits are based on guidelines from national and international expert groups defining specific concentrations of certain components as limits for decision about diagnosis or well-defined specific actions. Analytical quality specifications for reference intervals have been defined for bias since the 1990s, but in the recommendations specified in the clinical guidelines analytical quality specifications are only scarcely defined. The demands for negligible biases are, however, even more essential for decision limits, as the choice is no longer left to the clinician, but emerge directly from the concentration. Even a small bias will change the number of diseased individuals, so the demands for negligible biases are obvious. A view over the analytical quality as published gives a variable picture of bias for many components, but with many examples of considerable bias which must be critical--yet no specifications have been stipulated until now.

  13. A consensus reaching model for 2-tuple linguistic multiple attribute group decision making with incomplete weight information

    Science.gov (United States)

    Zhang, Wancheng; Xu, Yejun; Wang, Huimin

    2016-01-01

    The aim of this paper is to put forward a consensus reaching method for multi-attribute group decision-making (MAGDM) problems with linguistic information, in which the weight information of experts and attributes is unknown. First, some basic concepts and operational laws of 2-tuple linguistic label are introduced. Then, a grey relational analysis method and a maximising deviation method are proposed to calculate the incomplete weight information of experts and attributes respectively. To eliminate the conflict in the group, a weight-updating model is employed to derive the weights of experts based on their contribution to the consensus reaching process. After conflict elimination, the final group preference can be obtained which will give the ranking of the alternatives. The model can effectively avoid information distortion which is occurred regularly in the linguistic information processing. Finally, an illustrative example is given to illustrate the application of the proposed method and comparative analysis with the existing methods are offered to show the advantages of the proposed method.

  14. A decision-making model of development intensity based on similarity relationship between land attributes intervened by urban design

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The paper presents a dynamic model intervened by urban design for the decision-making of land development intensity, which expresses the inherent interaction mechanism between lands based on the evaluation of land attributes and their similarity relationship. Each land unit is described with several factors according to their condition and potential for development, such as land function, accessibility, historical site control, landscape control, and so on. Then, the dynamic reference relationship between land units is established according to the similarity relationship between their factors. That means lands with similar conditions tend to have similar development intensities, which expresses the rule of the spontaneous urban development. Therefore, the development intensities of the pending lands can be calculated by the confirmed ones. Furthermore, the system can be actively intervened by adjusting the parameters according to urban design or planning intentions. And the reaction of the system offers effective support and reference for reasonable decision. The system with multiple intervention input is not only a credible tool for deriving development intensities, but also a platform to activate urban design conception. Above all, the system as a socio-technical tool integrates the optimization of form, function and environment, and embodies the principle of impersonality, justice and flexibility in the decision of land development intensity.

  15. Defining the critical material attributes of lactose monohydrate in carrier based dry powder inhaler formulations using artificial neural networks.

    Science.gov (United States)

    Kinnunen, Hanne; Hebbink, Gerald; Peters, Harry; Shur, Jagdeep; Price, Robert

    2014-08-01

    The study aimed to establish a function-based relationship between the physical and bulk properties of pre-blended mixtures of fine and coarse lactose grades with the in vitro performance of an adhesive active pharmaceutical ingredient (API). Different grades of micronised and milled lactose (Lactohale (LH) LH300, LH230, LH210 and Sorbolac 400) were pre-blended with coarse grades of lactose (LH100, LH206 and Respitose SV010) at concentrations of 2.5, 5, 10 and 20 wt.%. The bulk and rheological properties and particle size distributions were characterised. The pre-blends were formulated with micronised budesonide and in vitro performance in a Cyclohaler device tested using a next-generation impactor (NGI) at 90 l/min. Correlations between the lactose properties and in vitro performance were established using linear regression and artificial neural network (ANN) analyses. The addition of milled and micronised lactose fines with the coarse lactose had a significant influence on physical and rheological properties of the bulk lactose. Formulations of the different pre-blends with budesonide directly influenced in vitro performance attributes including fine particle fraction, mass median aerodynamic diameter and pre-separator deposition. While linear regression suggested a number of physical and bulk properties may influence in vitro performance, ANN analysis suggested the critical parameters in describing in vitro deposition patterns were the relative concentrations of lactose fines % < 4.5 μm and % < 15 μm. These data suggest that, for an adhesive API, the proportion of fine particles below % < 4.5 μm and % < 15 μm could be used in rational dry powder inhaler formulation design.

  16. New Hybrid Multiple Attribute Decision-Making Model for Improving Competence Sets: Enhancing a Company’s Core Competitiveness

    Directory of Open Access Journals (Sweden)

    Kuan-Wei Huang

    2016-02-01

    Full Text Available A company’s core competitiveness depends on the strategic allocation of its human resources in alignment with employee capabilities. Competency models can identify the range of capabilities at a company’s disposal, and this information can be used to develop internal or external education training policies for sustainable development. Such models can ensure the importation of a strategic orientation reflecting the growth of its employee competence set and enhancing human resource sustainably. This approach ensures that the most appropriate people are assigned to the most appropriate positions. In this study, we proposed a new hybrid multiple attributed decision-making model by using the Decision-making trial and Evaluation Laboratory Technique (DEMATEL to construct an influential network relation map (INRM and determined the influential weights by using the basic concept of the analytic network process (called DEMATEL-based ANP, DANP; the influential weights were then adopted with a modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR method. A simple forecasting technique as an iteration function was also proposed. The proposed model was effective. We expect that the proposed model can facilitate making timely revisions, reflecting the growth of employee competence sets, reducing the performance gap toward the aspiration level, and ensuring the sustainability of a company.

  17. Propulsion Airframe Aeroacoustics Technology Evaluation and Selection Using a Multi-Attribute Decision Making Process and Non-Deterministic Design

    Science.gov (United States)

    Burg, Cecile M.; Hill, Geoffrey A.; Brown, Sherilyn A.; Geiselhart, Karl A.

    2004-01-01

    The Systems Analysis Branch at NASA Langley Research Center has investigated revolutionary Propulsion Airframe Aeroacoustics (PAA) technologies and configurations for a Blended-Wing-Body (BWB) type aircraft as part of its research for NASA s Quiet Aircraft Technology (QAT) Project. Within the context of the long-term NASA goal of reducing the perceived aircraft noise level by a factor of 4 relative to 1997 state of the art, major configuration changes in the propulsion airframe integration system were explored with noise as a primary design consideration. An initial down-select and assessment of candidate PAA technologies for the BWB was performed using a Multi-Attribute Decision Making (MADM) process consisting of organized brainstorming and decision-making tools. The assessments focused on what effect the PAA technologies had on both the overall noise level of the BWB and what effect they had on other major design considerations such as weight, performance and cost. A probabilistic systems analysis of the PAA configurations that presented the best noise reductions with the least negative impact on the system was then performed. Detailed results from the MADM study and the probabilistic systems analysis will be published in the near future.

  18. Study of multi-objective optimization and multi-attribute decision-making for economic and environmental power dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Xuebin, Li [Research and Development Center, Wuhan 2nd Ship Design and Research Institute, Wuhan, Hubei Province 430064 (China)

    2009-05-15

    Environmental awareness and the recent environmental policies have forced many electric utilities to restructure their practices to account for their emission impacts. One way to accomplish this is by reformulating the traditional economic dispatch problem such that emission effects are included in the mathematical model. The economic/environmental dispatch problem is a multi-objective non-linear optimization problem with constraints. This study presents a hybrid approach to solve the combined economic-emission dispatch problem (CEED). In the first stage, a non-dominated sorting genetic algorithm II (NSGA II) is employed to approximate the set of Pareto solution through an evolutionary optimization process. In the subsequent stage, a multi-attribute decision-making (MADM) approach is adopted to rank these solutions from best to worst and to determinate the best solution in a deterministic environment with a single decision maker. This hybrid approach is tested on a six-unit system to illustrate the analysis process in present analysis. Pareto frontiers are obtained and the ranking of Pareto solutions is based on entropy weight and TOPSIS method. Results obtained show that the hybrid approach has a great potential in handling multi-objective optimization problem. (author)

  19. Decision Making in Historically African American Colleges and Universities: Defining the Governance Context

    Science.gov (United States)

    Minor, James T.

    2004-01-01

    Decision-making practices in historically African American colleges and universities are analyzed with the help of a case study. The study observes that the crucial factors, which influence students in their college life, are parental encouragement, interaction in cultural life and a faculty mentor support.

  20. An analysis and study of decision tree induction operating under adaptive mode to enhance accuracy and uptime in a dataset introduced to spontaneous variation in data attributes

    Directory of Open Access Journals (Sweden)

    Uttam Chauhan

    2011-01-01

    Full Text Available Many methods exist for the purpose of classification of an unknown dataset. Decision tree induction is one of the well-known methods for classification. Decision tree method operates under two different modes: nonadaptive and adaptive mode. The non adaptive mode of operation is applied when the data set is completely mature and available or the data set is static and their will be no changes in dataset attributes. However when the dataset is likely to have changes in the values and attributes leading to fluctuation i.e., monthly, quarterly or annually, then under the circumstances decision tree method operating under adaptive mode needs to be applied, as the conventional non-adaptive method fails, as it needs to be applied once again starting from scratch on the augmented dataset. This makes things expensive in terms of time and space. Sometimes attributesare added into the dataset, at the same time number of records also increases. This paper mainly studies the behavioral aspects of classification model particularly, when number of attr bute in dataset increase due to spontaneous changes in the value(s/attribute(s. Our investigative studies have shown that accuracy of decision tree model can be maintained when number of attributes including class increase in dataset which increases thenumber of records as well. In addition, accuracy also can be maintained when number of values increase in class attribute of dataset. The way Adaptive mode decision tree method operates is that it reads data instance by instance and incorporates the same through absorption to the said model; update the model according to valueof attribute particular and specific to the instance. As the time required to updating decision tree can be less than introducing it from scratch, thus eliminating the problem of introducing decision tree repeatedly from scratch and at the same time gaining upon memory and time.

  1. Enhancing Perception in Ethical Decision Making: A Method to Address Ill-Defined Training Domains

    Science.gov (United States)

    2010-08-01

    Christopher L. Vowels , U.S. Army Research Institute Peter S. Schaefer, U.S. Army Research Institute NOTICES DISTRIBUTION...Rest, Thoma, & Edwards, 1997), as well as emotional awareness and moral intuition (cf. Haidt, 2001). In Rest’s (1994) four-component model of...respond quickly because pressure was building and/or emotions were escalating 1.3: Taking Responsibility Being personally responsible for my decision

  2. Defining “Adverse Environmental Impact” and Making § 316(b Decisions: A Fisheries Management Approach

    Directory of Open Access Journals (Sweden)

    David E. Bailey

    2002-01-01

    Full Text Available The electric utility industry has developed an approach for decisionmaking that includes a definition of Adverse Environmental Impact (AEI and an implementation process. The definition of AEI is based on lessons from fishery management science and analysis of the statutory term “adverse environmental impact” and is consistent with current natural resource management policy. The industry has proposed a definition focusing on “unacceptable risk to the population’s ability to sustain itself, to support reasonably anticipated commercial or recreational harvests, or to perform its normal ecological function.” This definition focuses not on counting individual fish or eggs cropped by the various uses of a water body, but on preserving populations of aquatic organisms and their functions in the aquatic community. The definition recognizes that assessment of AEI should be site-specific and requires both a biological decision and a balancing of diverse societal values. The industry believes that the definition of AEI should be implemented in a process that will maximize the overall societal benefit of the § 316(b decision by considering the facility’s physical location, design, and operation, as well as the local biology. The approach considers effects on affected fish and shellfish populations and the benefits of any necessary best technology available (BTA alternatives. This is accomplished through consideration of population impacts, which conversely allows consideration of the benefits of any necessary BTA modifications. This in turn allows selection of BTAs that will protect potentially affected populations in a cost-effective manner. The process also employs risk assessment with stakeholder participation, in accordance with EPA’s Guidelines for Ecological Risk Assessment. The information and tools are now available to make informed decisions about site-specific impacts that will ensure protection of aquatic ecosystems and best serve

  3. Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA

    Directory of Open Access Journals (Sweden)

    Rakesh Garg

    2017-09-01

    Full Text Available The present paper emphasizes on the development of a hierarchical model using Fuzzy Multiple Attribute Decision Making (FMADM method for the selection of E-learning websites. The working of the model developed in this research mainly consists of three steps: (i Summarization and identification of selection indexes, (ii Selection indexes weights calculations using Fuzzy Analytical Hierarchy Process (FAHP and (iii Ranking of alternatives by implementing three MADM analytical methods as Complex Proportional Assessment (COPRAS, Visekriterijumsko Kompromisno Rangiranje (VIKOR and Weighted Distance Based Approximation (WDBA. In order to demonstrate the applicability and utility of the proposed methods, an empirical example related to the selection of E-learning websites that are widely used to learn the ‘C’ Programming Language for the software development is carried out. In addition, the results of these three methods are also compared to analyze the critical aspects of the selection indexes. It strongly shows that the developed FMADM model of this paper could be an efficient and effective assessment tool.

  4. Defining reasonable patient standard and preference for shared decision making among patients undergoing anaesthesia in Singapore.

    Science.gov (United States)

    Yek, J L J; Lee, A K Y; Tan, J A D; Lin, G Y; Thamotharampillai, T; Abdullah, H R

    2017-02-02

    A cross-sectional study to ascertain what the Singapore population would regard as material risk in the anaesthesia consent-taking process and identify demographic factors that predict patient preferences in medical decision-making to tailor a more patient-centered informed consent. A survey was performed involving patients 21 years old and above who attended the pre-operative evaluation clinic over a 1-month period in Singapore General Hospital. Questionnaires were administered to assess patients' perception of material risks, by trained interviewers. Patients' demographics were obtained. Mann-Whitney U test and Kruskal-Wallis one-way analysis of variance was used. Statistical significance was taken at p audio-visual multimedia for pre-operative anaesthetic counselling. The local population appears to place greater importance on rare but serious complications compared to common complications. This illustrates the need to contextualize information provided during informed consent to strengthen the doctor-patient relationship.

  5. A conceptual framework and protocol for defining clinical decision support objectives applicable to medical specialties

    Directory of Open Access Journals (Sweden)

    Timbie Justin W

    2012-09-01

    Full Text Available Abstract Background The U.S. Centers for Medicare and Medicaid Services established the Electronic Health Record (EHR Incentive Program in 2009 to stimulate the adoption of EHRs. One component of the program requires eligible providers to implement clinical decision support (CDS interventions that can improve performance on one or more quality measures pre-selected for each specialty. Because the unique decision-making challenges and existing HIT capabilities vary widely across specialties, the development of meaningful objectives for CDS within such programs must be supported by deliberative analysis. Design We developed a conceptual framework and protocol that combines evidence review with expert opinion to elicit clinically meaningful objectives for CDS directly from specialists. The framework links objectives for CDS to specialty-specific performance gaps while ensuring that a workable set of CDS opportunities are available to providers to address each performance gap. Performance gaps may include those with well-established quality measures but also priorities identified by specialists based on their clinical experience. Moreover, objectives are not constrained to performance gaps with existing CDS technologies, but rather may include those for which CDS tools might reasonably be expected to be developed in the near term, for example, by the beginning of Stage 3 of the EHR Incentive program. The protocol uses a modified Delphi expert panel process to elicit and prioritize CDS meaningful use objectives. Experts first rate the importance of performance gaps, beginning with a candidate list generated through an environmental scan and supplemented through nominations by panelists. For the highest priority performance gaps, panelists then rate the extent to which existing or future CDS interventions, characterized jointly as “CDS opportunities,” might impact each performance gap and the extent to which each CDS opportunity is compatible with

  6. Defining the drivers for accepting decision making automation in air traffic management.

    Science.gov (United States)

    Bekier, Marek; Molesworth, Brett R C; Williamson, Ann

    2011-04-01

    Air Traffic Management (ATM) operators are under increasing pressure to improve the efficiency of their operation to cater for forecasted increases in air traffic movements. One solution involves increasing the utilisation of automation within the ATM system. The success of this approach is contingent on Air Traffic Control Operators' (ATCOs) willingness to accept increased levels of automation. The main aim of the present research was to examine the drivers underpinning ATCOs' willingness to accept increased utilisation of automation within their role. Two fictitious scenarios involving the application of two new automated decision-making tools were created. The results of an online survey revealed traditional predictors of automation acceptance such as age, trust and job satisfaction explain between 4 and 7% of the variance. Furthermore, these predictors varied depending on the purpose in which the automation was to be employed. These results are discussed from an applied and theoretical perspective. STATEMENT OF RELEVANCE: Efficiency improvements in ATM are required to cater for forecasted increases in air traffic movements. One solution is to increase the utilisation of automation within Air Traffic Control. The present research examines the drivers underpinning air traffic controllers' willingness to accept increased levels of automation in their role.

  7. Multiple Attribute Decision Making Model Based on Entropy Reliability Considering Risk Preferences and Attribute Reduction%考虑风险偏好和属性约简的熵可靠性决策模型

    Institute of Scientific and Technical Information of China (English)

    任嵘嵘; 高杰; 李馨; 赵萌

    2016-01-01

    针对属性值为区间数的大量属性决策问题,提出考虑决策者风险偏好和属性约简的熵可靠性决策模型。首先引入风险偏好因子将决策者进行分类,然后提出基于熵可靠性的属性约简方法并提取有效属性,匹配相应的信息熵权重确定方法和排序方法进行方案排序和择优,通过案例分析验证该方法的科学合理性;并通过选取不同的风险偏好因子,对决策对象排序结果进行灵敏度分析。结果表明随着决策者风险偏好程度的增加,决策属性保留个数递减;最后经算法对比表明该算法考虑决策信息的可靠性,减少信息损失且计算简便。%For a large number of attribute decision making problems of attribute values as interval number,a new multiple attribute decision making model is proposed based on entropy reliability of attribute reduction method,considering the risk preferences.First,the risk preference parameter is used to classify the decision makers.Then,the paper puts forward the attribute reduction method based on entropy reliability and extracts the effective properties,matches the corresponding infor-mation entropy weight method,ranking method for alternative ranking,and selects the best.Real examples with interval value attribute values are presented to prove the scientific rationality of the new method.And then through choosing differ-ent risk preference parameters,the sensitivity analysis is carried out on the ranking results of decision -making objects. The results show that the method proposed is more applicable in the actual situation.Finally by comparison with algorithm, the paper concludes that because the algorithm takes into account the reliability of decision -making information,it reduces the information loss and it is simple and convenient.

  8. Method for uncertain multi-attribute decision-making with preference information in the form of interval numbers complementary judgment matrix

    Institute of Scientific and Technical Information of China (English)

    Zhou Hong'an; Liu Sanyang; Fang Xiangrong

    2007-01-01

    The uncertain multi-attribute decision-making problems because of the information about attribute weights being known partly, and the decision maker's preference information on alternatives taking the form of interval numbers complementary to the judgment matrix, are investigated.First, the decision-making information, based on the subjective uncertain complementary preference matrix on alternatives is made uniform by using a translation function, and then an objective programming model is established.The attribute weights are obtained by solving the model, thus the overall values of the alternatives are gained by using the additive weighting method.Second, the alternatives are ranked, by using the continuous ordered weighted averaging (C-OWA) operator.A new approach to the uncertain multi-attribute decision-making problems, with uncertain preference information on alternatives is proposed.It is characterized by simple operations and can be easily implemented on a computer.Finally, a practical example is illustrated to show the feasibility and availability of the developed method.

  9. Definition, willingness-to-pay, and ranking of quality attributes of U.S. pork as defined by importers in Asia and Mexico.

    Science.gov (United States)

    Murphy, R G L; Howard, S T; Woerner, D R; Pendell, D L; Dixon, C L; Desimone, T L; Green, M D; Igo, J L; Tatum, J D; Belk, K E

    2015-01-01

    A survey was conducted from November 2009 to April 2010 to determine how importers of pork define 7 predetermined quality categories (food safety, customer service, eating quality, product specification, packaging, visual characteristics, and production history) and to estimate willingness-to-pay (WTP) and establish best-worst (B/W) scaling (rank) for the 7 quality categories. Interviews were conducted in Hong Kong/China (n = 83), Japan (n = 48), Mexico (n = 70) and Russia (n = 54) with importers of U.S. pork or those who had purchased U.S. pork from distributors in the last 3 yr. Interviews used dynamic routing software and were structured such that economic factors for purchase were addressed first, allowing all responses to focus on quality. Questions about WTP and B/W were asked and then each respondent was asked to define what each quality category meant to them. Generalized linear mixed models were used to analyze frequency data. Over 70% of interviewees in Hong Kong/China, Japan, and Mexico responded that purchase price was influential in deciding whether or not to purchase imported pork. This number was lower in Russia, where respondents stated tariff rates were also important, indicating market access was a larger issue in Russia. Food safety was the most important quality category (price was not included as a part of quality) for imported pork followed by specifications. Respondents indicated some form of government inspection was how they defined food safety, whereas product size, weight, and subcutaneous fat were all included in the definition of specifications. Interviewees were more likely to pay premiums for customer service and less likely to pay premiums for packaging (P profitability if a guarantee of customer service was made. Price, tariffs, and exchange rates are important to pork importers; these results indicated that if certain quality attributes could be guaranteed, exporters could increase profitability.

  10. HIV or HIV-Therapy? Causal attributions of symptoms and their impact on treatment decisions among women and men with HIV

    Directory of Open Access Journals (Sweden)

    Kremer H

    2009-04-01

    Full Text Available Abstract Objectives Among people with HIV, we examined symptom attribution to HIV or HIV-therapy, awareness of potential side effects and discontinuation of treatment, as well as sex/gender differences. Methods HIV-patients (N = 168, 46% female completed a comprehensive symptom checklist (attributing each endorsed symptom to HIV, HIV-therapy, or other causes, reported reasons for treatment discontinuations and potential ART-related laboratory abnormalities. Results Main symptom areas were fatigue/sleep/energy, depression/mood, lipodystrophy, and gastrointestinal, dermatological, and neurological problems. Top HIV-attributed symptoms were lack of stamina/energy in both genders, night sweats, depression, mood swings in women; and fatigue, lethargy, difficulties concentrating in men. Women attributed symptoms less frequently to HIV than men, particularly fa-tigue(p Top treatment-attributed symptoms were lipodystrophy and gastrointestinal problems in both genders. Symptom attribution to HIV-therapy did not differ between genders. Over the past six months, 22% switched/interrupted ART due to side effects. In women, side effect-related treatment decisions were more complex, involving more side effects and substances. Remarkably, women took predominantly protease inhibitor-sparing regimens (p = .05. Both genders reported only 15% of potential ART-related laboratory abnormalities but more than 50% had laboratory abnormalities. Notably, women had fewer elevated renal parameters (p Conclusions Men may attribute symptoms more often to HIV and maintain a treatment-regimen despite side effects, whereas women may be more prudent in avoiding treatment side effects. Lacking awareness of laboratory abnormalities in both genders potentially indicates gaps in physician-patient communication. Gender differences in causal attributions of symptoms/side effects may influence treatment decisions.

  11. Approaches to Multiple Attribute Group Decision Making Based on Triangular Fuzzy Number Intuitionistic Fuzzy Power Geometric Operator%基于模糊数直觉模糊PG算子的多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    周晓辉; 姚俭; 袁清华

    2014-01-01

    针对决策信息为三角模糊数直觉模糊数(TFNIFN)且属性间存在相互关联的多属性群决策(MAGDM)问题,提出了一种基于三角模糊数直觉模糊 PG(TFNIFPG)算子的决策方法。首先,基于TFNIFN的运算法则和PG(Power Geometric)算子,定义了TFNIFPG算子。然后,研究了该算子的一些性质,建立基于TFNIFPG算子的 MAGDM模型,结合排序方法进行决策。最后通过某项目投资算例验证了该算子的有效性与可行性。%With respect to the multiple attribute group decision-making(MAGDM)problem,a method based on triangu-lar fuzzy number intuitionistic fuzzy powergeometric (TFNIFPG)operator was presented.The attribute values of MAGDM are in the form of triangular fuzzy number intuitionistic fuzzy numbers (TFNIFN),and the attributes are associated with each oth-er.Firstly,according to the TFNIFN’s operational laws and power geometric (PG)operator,TFNIFPG operator was defined. Then the related properties were researched and a multiple attribute decision group model was constructed based on TFNIFPG operator.The model used sort methods to make decision.Finally,an illustrative example of proj ect investment was proposed to demonstrate the effectiveness and feasibility of the proposed operator.

  12. 关键型多属性消错决策方法%A Key Multi-attribute Method for Error-eliminating and Decision-making

    Institute of Scientific and Technical Information of China (English)

    黄灏然; 吴丽莉; 江尚乐; 俞守华

    2015-01-01

    针对关键型多属性决策问题,从消错理论的角度提出一种新的决策方法。通过消错理论阐述了关键型多属决策问题与“一票否决制”情形下的多属性决策问题之间的同质性。结合消错理论给出非劣策略和非优策略的概念。通过计算错误值的方式将非优策略从备选策略集中排除,通过计算错误偏离度对非劣策略进行排序和选优。并通过一个实例对决策方法的可行性和合理性进行说明。%For multi-attribute decision making ( MADM ) problems with key attributes, a new decision making approach on the base of error-eliminating theory is proposed.Firstly, multi-attribute decision making problem under“one vote negation system” situation is proved the same as multi-attribute decision making problem with key attributes.Secondly, the concepts of non-optimal strategy and non-dominated strategy are given on the basis of error-eliminating theory.Thirdly, non-optimal strategies are excluded from the set of alternative strategies by the way of calculating error values, and the non-dominated strate-gies are prioritized and selected according to the error deviation degree.The rationality and feasibility of this model will be shown by an illustrative example finally.

  13. Evaluation for Core Competence of Private Enterprises in Xuchang City Based on an Improved Dynamic Multiple-Attribute Decision-Making Model

    OpenAIRE

    Jian-min Shen; Yao-guo Dang; Wei-jie Zhou; Xue-mei Li

    2015-01-01

    Because Deng’s grey relational degree is inconspicuous, Deng’s relational degree with an exponential function is first presented. Then, we demonstrate that improved Deng’s relational degree is more conspicuous than the original model. Then, we construct a multiple-attribute decision-making model, based on improved Deng’s relational degree with multiple stages, and a method for determining the weight of the index is also developed. Finally, the core competence of private enterprises in Henan p...

  14. A Multi-Attribute Utility Decision Analysis for Treatment Alternatives for the DOE/SR Aluminum-Based Spent Nuclear Fuel

    Energy Technology Data Exchange (ETDEWEB)

    Davis, F.; Kuzio, K.; Sorenson, K.; Weiner, R.; Wheeler, T.

    1998-11-01

    A multi-attribute utility analysis is applied to the decision to select a treatment method for the management of aluminum-based spent nuclear i%el (A1-SNF) owned by the United States Department of Energy (DOE). DOE will receive, treat, and temporarily store Al- SNF, most of which is composed of highly enriched uranium, at its Savannah River Site in South Carolina. DOE intends ultimately to send the treated Al-SNJ? to a geologic repository for permanent disposal. DOE initially considered ten treatment alternatives for the management of A1-SNF, and has narrowed the choice to two of these the direct disposal and melt and dilute alternatives. The decision analysis presented in this document focuses on a decision between these two remaining alternatives.

  15. Assessment of distance-based multi-attribute group decision-making methods from a maintenance strategy perspective

    Science.gov (United States)

    Ding, Siew-Hong; Kamaruddin, Shahrul

    2015-07-01

    Maintenance has been acknowledged by industrial management as a significant influencing factor of plant performance. Effective plant maintenance can be realized by developing a proper maintenance strategy. However, selecting an appropriate maintenance strategy is difficult because maintenance is a non-repetitive task such as production activity. Maintenance also does not leave a consistent traceable record that can be referred to during the decision-making process. The involvement of tangible and intangible factors in the assessment process further increases the complexity of the decision-making process. The technique of preference order by similarity to ideal solution (TOPSIS) is one of the most well-known decision-making methods and has been widely used by organizations to conduct effective decisions regarding maintenance issues. TOPSIS has also evolved by integrating different approaches such as the fuzzy concept. Although numerous TOPSIS applications for maintenance decision making have been published, the effectiveness of crisp TOPSIS and fuzzy TOPSIS needs to be investigated further. This paper attempts to present a comparison between conventional crisp TOPSIS and fuzzy TOPSIS from a group maintenance decision-making perspective by an empirical illustration. Sensitivity analysis is conducted to demonstrate further the resilience of crisp TOPSIS and fuzzy TOPSIS.

  16. Method of risk multiple attribute decision making based on risk-gain ratio and prospect theory%基于风险-效益比和前景理论的风险性多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    马健; 孙秀霞; 郭创

    2011-01-01

    Aiming at decision-maker's irrationality is usually disregarded in risk multiple attribute decision making based on expected utility theory, a risk multiple attribute decision making method based on risk-gain ratio and prospect theory is proposed. According to the performance-price ratio in economics, a parameter of the risk-gain ratio is defined and modified by the value function in prospect theory for fully embodying decision-mak-er's irrationality, and a judgement matrix including project preference is obtained by using a simple weighted method, then the sequence of projects is worked out. As the case shows, the method has a strong operability, and the evaluated result is accordant with the irrationality in decision-making. The method provides a new path for risk multiple attribute decision making.%针对依据期望效用理论的风险性多属性决策方法未考虑决策者实际决策时的不理性,提出基于风险-效益比和前景理论的风险性多属性决策方法.该方法借鉴经济学中商品性价比,定义了能有效反映方案间对比信息的风险-效益比参数;同时,为更充分地在决策中体现决策者的不理性,基于前景理论价值函数对风险-效益比进行修正,使用加权法得到包含方案优劣偏好信息的判断矩阵,进而得到方案排序.计算实例表明,该方法可操作性强,方案评价结果符合实际决策存在的非理性,为此类问题解决提供了一个新的途径.

  17. Reduct and Attribute Order

    Institute of Scientific and Technical Information of China (English)

    Su-Qing Han; Jue Wang

    2004-01-01

    Based on the principle of discernibility matrix,a kind of reduction algorithm with attribute order has been developed and its solution has been proved to be complete for reduct and unique for a given attribute order.Being called the reduct problem,this algorithm can be regarded as a mapping R = Reduct(S)from the attribute order space θ to the reduct space R for an information system ,where U is the universe and C and D are two sets of condition and decision attributes respectively.This paper focuses on the reverse problem of reduct problem S = Order(R),i.e.,for a given reduct R of an information system,we determine the solution of S = Order(R)in the space θ.First,we need to prove that there is at least one attribute order S such that S = Order(R).Then,some decision rules are proposed,which can be used directly to decide whether the pair of attribute orders has the same reduct.The main method is based on the fact that an attribute order can be transformed into another one by moving the attribute for limited times.Thus,the decision of the pair of attribute orders can be altered to the decision of the sequence of neighboring pairs of attribute orders.Therefore,the basic theorem of neighboring pair of attribute orders is first proved,then,the decision theorem of attribute order is proved accordingly by the second attribute.

  18. An alternative to Even Swaps for modeling decision in a multi attribute problem; the case of Labor Formality

    Directory of Open Access Journals (Sweden)

    Martin Tetaz

    2014-06-01

    Full Text Available This paper discusses two different alternatives to deal with the problem of multiple objectives in decision making. Even Swaps and Choice Based Conjoint are analyzed using an election between hypothetical jobs as a frame of decision. We show that not only Choice Based Conjoint Analysis can be used to value the different tradeoffs associated, but it can also be used to predict people choices even when they are not aware of the trades involved between objectives. Finally a tailored pilot survey is used to show the Choice Based Method in practice, allowing us to obtain important conclusions regarding people willingness to pay for several Labor Formality aspects. 

  19. A Three Stage Multi-attribute Procurement Auction: A Proposal for Department of Defense (DoD) Vendor Selection Decisions.

    Science.gov (United States)

    2010-04-30

    apply transaction cost economics to generate new insights into military cost estimating, and the make-or-buy decision. In 2009, NATO HQ asked Dr...Systems Special Termination Liability in MDAPs Strategic Sourcing Transaction Cost Economics (TCE) to Improve Cost Estimates Human Resources

  20. The Role of Social Constructions and Biophysical Attributes of the Environment in Decision-Making in the Context of Biofuels and Rubber Production Partnership Regimes in Upland Philippines

    Science.gov (United States)

    Montefrio, M. F.

    2012-12-01

    Burgeoning attention in biofuels and natural rubber has spurred interest among governments and private companies in integrating marginalized communities into global commodity markets. Upland farmers from diverse cultural backgrounds and biophysical settings today are deciding whether to agree with partnership proposals from governments and private firms to grow biofuels and natural rubber. In this paper, I examine whether upland farmers' socio-environmental constructions (evaluative beliefs, place satisfaction, and ecological worldviews) and the actual biophysical attributes (land cover and soil types) of upland environments, respectively, function as significant predictors of the intent and decisions of indigenous and non-indigenous farmers to cooperate with government and private actors to establish certain biofuel crops and natural rubber production systems in Palawan, Philippines. Drawing from ethnography and statistical analysis of household surveys, I propose that social constructions and the biophysical attributes of the environment are closely related with each other and in turn both influence individual decision-making behavior in resource-based production partnership regimes. This has significant implications on the resilience of socio-ecological systems, particularly agro-ecosystems, as certain upland farmers prefer to engage in intensive, monocrop production of biofuels and natural rubber on relatively more biodiverse areas, such as secondary forests and traditional shifting cultivation lands. The study aims to advance new institutional theories of resource management, particularly Ostrom's Institutional Analysis and Development and Socio-Ecological Systems frameworks, and scholarship on environmental decision-making in the context of collective action.

  1. Evaluation for Core Competence of Private Enterprises in Xuchang City Based on an Improved Dynamic Multiple-Attribute Decision-Making Model

    Directory of Open Access Journals (Sweden)

    Jian-min Shen

    2015-01-01

    Full Text Available Because Deng’s grey relational degree is inconspicuous, Deng’s relational degree with an exponential function is first presented. Then, we demonstrate that improved Deng’s relational degree is more conspicuous than the original model. Then, we construct a multiple-attribute decision-making model, based on improved Deng’s relational degree with multiple stages, and a method for determining the weight of the index is also developed. Finally, the core competence of private enterprises in Henan province is analyzed, illustrating the validity and feasibility of the improved model.

  2. On H-OWA Operators for Multiple Attribute Decision Making%H-OWA算子及其在多属性决策中的应用

    Institute of Scientific and Technical Information of China (English)

    刘焕章; 裴道武

    2012-01-01

    Similar to the Bonferroni mean and BON-OWA operators, the authors introduce the generalized Heronian mean and H-OWA operators and study their basic properties, such as, commutativity, idempotency and boundedness, etc. Also, the authors apply the H-OWA operators in multiple attribute decision making.%类似于Bonferroni平均算子和BON-OWA算子,分别引入含参量的Heronian平均算子和H-OWA算子,并研究它们的一些性质,如幂等性、单调性及有界性等,并将H-OWA算子应用于多属性决策.

  3. Generalized Einstein Aggregation Operators Based on the Interval Neutrosophic Numbers and Their Application to Multi-attribute Group Decision Making

    OpenAIRE

    Don Hass

    2015-01-01

    Based on the Einstein operator, the operational rules of interval neutrosophic numbers are defined, according to the combination of Einstein operations and generalized aggregation operators, the interval neutrosophic generalized weighted Einstein average (INGWEA) operator, interval neutrosophic generalized ordered weighted Einstein average (INGOWEA) operator and interval neutrosophic generalized hybrid weighted Einstein average (INGHWEA) operator are proposed .

  4. 基于“离合”思想的混合型灰色多属性决策方法%Hybrid grey multiple attribute decision-making method based on“clutch”thought

    Institute of Scientific and Technical Information of China (English)

    罗党; 李诗

    2016-01-01

    In view of hybrid grey multiple attribute decision making problems, in which the attribute value of alternatives are three-parameters interval grey number and fuzzy language, a hybrid grey target decision method based on“clutch”thought is proposed. The distance measure and ranking method of three-parameters interval grey numbers is defined. With regard to the information loss of mutual transformation between grey and fuzzy information, the��dimensional fuzzy spherical grey target and��dimensional hybrid spherical grey target are defined. The positive and negative clout is discussed by using the rewarding good and punishing bad principle, the comprehensive off-target distance is constructed, and a hybrid grey target model with the positive and negative clout is set up. Finally, the method is applied to the Ningxia and Inner Mongolia reach of the Yellow River ice prevention optimal solution selection problem, and the influence of attribute weights and decision maker’s risk preference selection is analyzed. Results show the rationality and effectiveness of the proposed method.%针对方案属性值为三参数区间灰数和模糊语言的混合型灰色多属性决策问题,提出一种基于“离合”思想的混合灰靶决策方法。首先,定义三参数区间灰数的距离测度和排序方法;然后,鉴于灰信息与模糊信息相互转化的信息损失问题,定义��维模糊球形灰靶和��维混合球形灰靶,讨论正负靶心的情形,并利用奖优罚劣原则构造综合靶心距,建立混合正负靶心灰靶决策模型;最后,将所提出的方法应用于黄河宁蒙段防凌防汛的方案择优问题,分析了属性权重和决策者风险偏好的选取对决策的影响,结果验证了所提出方法的合理性和有效性。

  5. Sistem Pendukung Keputusan Rekomendasi Penerima Beasiswa Menggunakan Fuzzy Multi Attribut Decision Making (FMADM dan Simple Additive Weighting (SAW

    Directory of Open Access Journals (Sweden)

    Candra Surya

    2015-08-01

    Full Text Available Abstrak-Beasiswa adalah pemberian berupa bantuan keuangan yang diberikan kepada perorangan, mahasiswa atau pelajar. Namun sering kali dalam pendistribusian beasiswa tersebut tidak tepat sasaran. Hal ini disebabkan karena pemberi beasiswa belum menggunakan alat bantu atau metode yang digunakan untuk menentukan penerima beasiswa. Untuk itu dirancang suatu sistem dalam menentukan penerima beasiswa dengan menggunakan metode Fuzzy Multi Decision Making (FMADM dan Simple Additive Weighting (SAW. Metode FMADM digunakan untuk mencari alternatif dari sejumlah alternatif dengan kriteria-kriteria yang telah ditentukan. Sedangkan Metode SAW digunakan untuk merangking dari alternatif yang ada. Diharapkan hasil penelitian ini dapat digunakan sebagai alat bantu dalam mengambil keputusan untuk merekomendasikan penerima beasiswa.

  6. 直觉模糊和粗集的复合多属性保障力量优选%Compound multi-attribute decision-making for selecting power based on intuitionist fuzzy sets and rough sets

    Institute of Scientific and Technical Information of China (English)

    张倩; 陈桂明; 颜宁; 苏保忠

    2013-01-01

    Based on the characteristics of equipment maintenance power,aiming at optimizing the collocation for power,combining with rough sets and multi-attribute group decision-making,intuitionist fuzzy sets (IFS) are introduced to manage compound data,and the knowledge system model based on IFS multi-attribute rough sets (RS) group decision-making is established.An induced-intuitionistic fuzzy ordered weighted averaging operator (I-IFOWA) is used for information fusion,the score function based on cross entropy is defined,and the evaluated result is used to construct the decision table.The improved RS and information entropy method are adopted to obtain the attribute power,and the maintenance power is evaluated and ranked by integrative value.The result of an example is in accordance with the fact,and the optimized sequence provides technique support for decision-making.%根据装备维修保障力量特点,以优化维修保障力量配置为目标,结合粗集(rough sets,RS)和多属性群决策理论,引入直觉模糊集(intuitionist fuzzy sets,IFS)处理复合型决策数据,建立基于IFS多属性粗集群决策的知识系统,用诱导集结算子融合群组信息,定义基于交叉熵的得分函数,并基于其评估结果构建粗集决策系统.采用综合的粗集信息熵属性重要度及粗集权重方法确定属性权重,通过对象的综合评价值判断其优劣,对装备维修保障力量进行优选排序.实例分析结果符合实际,最优排序结果为决策者提供技术支持.

  7. What Defines "Enough" Information? How Policy Workers Make Judgements and Decisions during Information Seeking: Preliminary Results from an Exploratory Study

    Science.gov (United States)

    Berryman, Jennifer

    2006-01-01

    Introduction: Reports findings from research in progress investigating judgment and decision making during information seeking in the workplace, in particular, the assessment of enough information. Characteristics of this judgment and the role of context in shaping it are framed against theories of human judgment and decision making. Method:…

  8. Longitudinal Development of Family Decision Making: Defining Healthy Behavioral Autonomy for Middle-Class African American Adolescents

    Science.gov (United States)

    Smetana, Judith G.; Campione-Barr, Nicole; Daddis, Christopher

    2004-01-01

    The development of decision-making autonomy was examined in 76 middle-class African American early adolescents (M=13 years) and their mothers, who were followed longitudinally for 5 years. Adolescent decision-making autonomy over conventional, prudential, multifaceted, and personal issues increased over time but at different rates. Mothers viewed…

  9. A decision-analytic approach to define poor prognosis patients: A case study for non-seminomatous germ cell cancer patients

    NARCIS (Netherlands)

    M.R. van Dijk (Merel); E.W. Steyerberg (Ewout); J.D.F. Habbema (Dik)

    2008-01-01

    textabstractBackground. Classification systems may be useful to direct more aggressive treatment to cancer patients with a relatively poor prognosis. The definition of 'poor prognosis' often lacks a formal basis. We propose a decision analytic approach to weigh benefits and harms explicitly to defin

  10. A method for multiple attribute decision-making based on S-OWA operators%基于S-OWA算子的多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    夏正喜; 张小芝

    2014-01-01

    A new class of aggregation operators,named as S-OWA operators,was introduced based on the decision idea of the order-weighted averaging (OWA)operator.Some desirable properties of the S-OWA operators were investigated.The approaches to determine the attribute weight were discussed based on the operators as well.The method of multiple attribute decision-making based on S-OWA operator were pres-ented.Finally,a practical example was given to show the effectiveness and feasibility of our main results.%基于两类有序加权平均算子的基本决策思想,在此基础上提出了一种新的信息集结算子---S-OWA算子,并研究了该算子的一些优良性质。基于该算子研究了相应的属性权重的确定方法,并提出了基于 S-OWA算子的多属性决策方法,最后用算例说明了该方法的可行性和有效性。

  11. Comprehensive evaluation of water resources security in the Yellow River basin based on a Fuzzy Multi-Attribute Decision Analysis Approach

    Directory of Open Access Journals (Sweden)

    K. K. Liu

    2014-01-01

    Full Text Available In this paper, a Fuzzy Multi-Attribute Decision Analysis Approach (FMADAA was adopted in water resources security evaluation for the nine provinces in the Yellow River basin in 2006. A numerical approximation system and a modified left-right scoring approach were adopted to cope with the uncertainties in the acquired information. Four multi-attribute decision making methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA, weighted product (WP, cooperative game theory (CGT and technique for order preference by similarity to ideal solution (TOPSIS which could be used for helping rank the water resources security in those nine provinces as well as the criteria alternatives. Moreover, several aggregation methods including average ranking procedure, borda and copeland methods were used to integrate the ranking results. The ranking results showed that the water resources security of the entire basin is in critical, insecurity and absolute insecurity state, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, future planning of the Yellow River basin should mainly focus on the improvement of water eco-environment status in the provinces above.

  12. Comprehensive evaluation of water resources security in the Yellow River basin based on a fuzzy multi-attribute decision analysis approach

    Science.gov (United States)

    Liu, K. K.; Li, C. H.; Cai, Y. P.; Xu, M.; Xia, X. H.

    2014-05-01

    In this paper, a fuzzy multi-attribute decision analysis approach (FMADAA) was developed for supporting the evaluation of water resources security in nine provinces within the Yellow River basin. A numerical approximation system and a modified left-right scoring approach were adopted to cope with the uncertainties in the acquired information. Also, four conventional multi-attribute decision analysis (MADA) methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA), weighted product (WP), cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS). Moreover, several aggregation methods including average ranking procedure, Borda and Copeland methods were used to integrate the ranking results, helping rank the water resources security in those nine provinces as well as improving reliability of evaluation results. The ranking results showed that the water resources security of the entire basin was in critical condition, including the insecurity and absolute insecurity states, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, the improvement of water eco-environment statuses in the above-mentioned provinces should be prioritized in the future planning of the Yellow River basin.

  13. A Comprehensive Decision-Making Approach Based on Hierarchical Attribute Model for Information Fusion Algorithms’ Performance Evaluation

    Directory of Open Access Journals (Sweden)

    Lianhui Li

    2014-01-01

    Full Text Available Aiming at the problem of fusion algorithm performance evaluation in multiradar information fusion system, firstly the hierarchical attribute model of track relevance performance evaluation model is established based on the structural model and functional model and quantization methods of evaluation indicators are given; secondly a combination weighting method is proposed to determine the weights of evaluation indicators, in which the objective and subjective weights are separately determined by criteria importance through intercriteria correlation (CRITIC and trapezoidal fuzzy scale analytic hierarchy process (AHP, and then experience factor is introduced to obtain the combination weight; at last the improved technique for order preference by similarity to ideal solution (TOPSIS replacing Euclidean distance with Kullback-Leibler divergence (KLD is used to sort the weighted indicator value of the evaluation object. An example is given to illustrate the correctness and feasibility of the proposed method.

  14. Method for Multiple Attribute Decision Making Considering Decision Maker’ s Dynamic Aspiration Under Bounded Rationality%有限理性条件下考虑决策者动态期望的多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    姜广田

    2015-01-01

    This paper proposes a method based on cumulative prospect theory to solve the multiple attribute deci-sion making problems with decision maker’ s dynamic aspiration.In this paper, the psychological behavioral fac-tors of decision makers are considered firstly, and the dynamic aspiration of the decision maker with respect to each attribute at different periods is chosen as the reference point.Then, the decision matrix with normal random variables is transformed into the decision matrix of gains or losses relative to each reference point.Furthermore, considering the decision maker’ s different psychological attitudes toward gains and losses in decision maker ’ s mind, the prospect value of each alternative at each phase is calculated based on cumulative prospect theory, and the comprehensive prospect value of each alternative throughout the whole period is calculated .Based on the obtained comprehensive prospect values, a ranking of alternatives is determined.Finally, a numerical example is used to illustrate the feasibility and validity of the proposed method.%有限理性条件下针对带有决策者期望的多属性决策问题,提出一种基于累积前景理论的决策分析方法。在本文中,首先考虑了决策者的有限理性的心理行为特征,以决策者在不同时期对各属性的特定期望作为参照点,然后将具有正态分布信息形式的决策矩阵转化为相对于各参照点的益损决策矩阵,在此基础上,考虑决策者对待收益和损失的不同理性态度,依据累积前景理论计算各时期中每个方案的前景值,并计算关于整个时期的综合前景值,然后依据综合前景值的大小对所有方案进行排序。最后,通过一个算例说明了该方法的可行性和有效性。

  15. VIKOR Method for Intuitionistic Fuzzy Multi-Attribute Group Decision Making%直觉模糊多属性群决策的 VIKOR 方法

    Institute of Scientific and Technical Information of China (English)

    张市芳

    2015-01-01

    To solve the problems of the totally unknown attribute weights and the intuitionistic fuzzy numbers given to the attribute values ,a decision making method based on VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje ) is presented .Firstly ,the group decision making information is obtained by using the intuitionistic fuzzy weighted averaging (IFWA ) operator to aggregate all the individual decision making information .Then ,the entropy weights of the criteria are obtained by utilizing the intuitionistic fuzzy entropy formula .According to the basic concept of the traditional VIKOR method and by means of the distance formula of intuitionistic fuzzy numbers ,the alternatives are ranked ,from w hich the best ones are picked over .Finally ,the analysis of a numerical example proves the practicality and feasibility of the proposed method .%针对属性权重信息完全未知且属性值以直觉模糊数形式给出的多属性群决策问题,提出了一种基于多准则妥协解排序的决策方法。利用直觉模糊加权平均算子集成所有的个体决策信息,以获取群决策信息。利用直觉模糊数熵权公式求得属性的熵权。依据传统VIKOR法的基本思想,结合直觉模糊数的距离公式,对备选方案进行排序择优。文中通过实例分析,表明该方法的实用性与可行性。

  16. Evidential Reasoning-Based Approach for Multiple Attribute Decision Making Problems under Uncertainty%基于证据推理的不确定多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    郭凯红; 李文立

    2012-01-01

    The previous study shows that the evidential reasoning algorithm is an effective and rational method to solve MADM (Multiple Attribute Decision Making) problems under uncertainty. However, the method has constraints that attribute weights should be deterministic and evaluation grades assessing basic attributes and general attributes should be consistent. However, these constraints are not relevant to the actual decision-making problems, especially for basic qualitative attributes. Existing subjective and objective methods have defect for basic attribute weights. Most methods assume that the grade is the same in order to evaluate grades based on basic and general attributes. Therefore, these methods are not effective to assist the decision making process and solve problems.In consideration of the weakness of previous study, this study proposes a method based on the evidential reasoning for MADM under uncertainty with the goal of extending evidential reasoning algorithm into a more general decision environment.The first part is to determine basic attribute weights. We first briefly introduce the evidential reasoning algorithm, discussing two major issues related to its effective application for MADM under uncertainty: (1) how to totally determine basic attribute weights, and (2) how to fully implement the transformation of distributed assessment from basic attributes into general attributes. In addition, we calculate basic attribute weights using the information entropy of decision matrix to solve the first problem. In the second part, we implement the equivalent transformation of distributed assessments from basic attributes into general attributes by assuming that evaluation grades assessing basic attributes and general attributes are not the same.We first fuzz the distributed assessments of basic attributes according to different data types of basic attribute values, and then implement, based on fuzzy transformation theory, the unified form of general distributed

  17. Applying Q-methodology to select and define attributes for non-market valuation: A case study from Northwest Wyoming, United States

    Science.gov (United States)

    Christopher A. Armatas; Tyron J. Venn; Alan E. Watson

    2014-01-01

    The underlying validity of stated preference non-market valuation methods relies on the analyst's ability to identify, select, define, and articulate the goods being valued in a way that is relevant and understandable to the respondent, which requires detailed understanding of the respondents' experiences and points of view. Poor articulation of the good...

  18. Performance evaluation and ranking of direct sales stores using BSC approach and fuzzy multiple attribute decision-making methods

    Directory of Open Access Journals (Sweden)

    Mojtaba Soltannezhad Dizaji

    2017-07-01

    Full Text Available In an environment where markets go through a volatile process, and rapid fundamental changes occur due to technological advances, it is important to ensure and maintain a good performance measurement. Organizations, in their performance evaluation, should consider different types of financial and non-financial indicators. In systems like direct sales stores in which decision units have multiple inputs and outputs, all criteria influencing on performance must be combined and examined in a system, simultaneously. The purpose of this study is to evaluate the performance of different products through direct sales of a firm named Shirin Asal with a combination of Balanced Scorecard, fuzzy AHP and TOPSIS so that the weaknesses of subjectivity and selective consideration of evaluators in evaluating the performance indicators are reduced and evaluation integration is provided by considering the contribution of each indicator and each indicator group of balanced scorecard. The research method of this case study is applied. The data collection method is a questionnaire from the previous studies, the use of experts' opinions and the study of documents in the organization. MATLAB and SPSS were used to analyze the data. During this study, the customer and financial perspectives are of the utmost importance to assess the company branches. Among the sub-criteria, the rate of new customer acquisition in the customer dimension and the net income to sales ratio in financial dimension are of the utmost importance.

  19. Selection of optimized air pollutant filtration technologies for petrochemical industries through multiple-attribute decision-making.

    Science.gov (United States)

    Moridi, Parvin; Atabi, Farideh; Nouri, Jafar; Yarahmadi, Rasoul

    2017-07-15

    Selecting cost-effective and efficient air filtration technologies that ensure sustainable development is a challenge to national, regional and local policy makers. Various factors such as efficiency, maintainability, and design of the developed devices can affect the selection of optimized technologies. The present study aimed to select optimal technologies for air filtration devices in petrochemical industries through a multi-criteria decision-making (MADM) method based on a fuzzy model of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Five criteria (filtration efficiency, cost, maintainability, designability, and size) were used to rank air pollution control technologies designed to eliminate particulate matter (PM), volatile organic compounds (VOCs), and ammonia (NH3). According to the results, the research criteria had different weights for different air pollutants. High-efficiency particulate air (HEPA + pre collector) filters, plasma chemistry, and chemical absorption were identified as the most appropriate filtration methods for PM, VOCs, and NH3, respectively (coefficients = 0.923, 0.9586, and 0.867, respectively). Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. 基于相似关系的多属性决策问题研究%Research on multiple-attribute decision making problems based on similarity relationship

    Institute of Scientific and Technical Information of China (English)

    刘健; 刘思峰; 周献中; 陈素娜

    2011-01-01

    The definiteness of the attribute weight is an important research topic for multiple-attribute decision making problems. Firstly, according to the uncertainty of the attribute weight problem for mutti-attribute decision making problems, the relationship of the similarity between the decision making subject and the ideal standard and the superiority of all decision making subject is analyzed. Secondly, with the help of maximizing deviation algorithm rules, the attribute weight based on the similarity of attribute values is proposed, then the similarity between decision making subject and the ideal standard is utilized to rank and pick over all decision making subjects. Finally, this paper takes the probabilistic multi-attribute decision making problem that the attribute value is chosen as interval numbers as an example to state the applicability and rationality of the method. Meanwhile the characters between maximizing deviations and the algorithm are compared%属性权重确定是多属性决策问题中一个重要的研究内容.针对属性权重未知的多属性决策问题:首先,指出决策对象与理想对象之间的相似度与决策对象的优势度之间存在直接的关系;其次,借鉴离差最大化算法,提出用属性值的相似度来确定属性权重;再次,利用各个决策对象与理想对象的相似度对各决策对象进行排序并择优;最后,对属性值为区间数的多属性决策实例进行了分析,同时对该算法与离差最大化算法的异同点进行对比.

  1. What defines 'enough' information? How policy workers make judgements and decisions during information seeking: preliminary results from an exploratory study

    Directory of Open Access Journals (Sweden)

    J.M. Berryman

    2006-01-01

    Full Text Available Introduction. Reports findings from research in progress investigating judgment and decision making during information seeking in the workplace, in particular, the assessment of enough information. Characteristics of this judgment and the role of context in shaping it are framed against theories of human judgment and decision making. Method. Thirty-three semi-structured interviews were conducted with public sector policy workers in Australia. Two interviews were carried out, the first with individual participants and the second, a joint interview with two participants. Interviews were taped and transcribed and inductive data analysis carried out. Findings. Findings discussed in this paper focus on contextual factors that frame policy workers' judgment and decision making while information seeking, factors including ill-structured problems, shifting goals, time stress and action-feedback loops. Also revealed was the importance of developing a framework, against which the judgment of enough information can be made, and the fluid and iterative nature of these judgments. Conclusion. The contextual factors reported show similarities with those identified by naturalistic decision making researchers, suggesting this new field of decision theory has much to offer researchers into information seeking in context.

  2. 不确定语言环境下的多属性决策方法%Linguistic approaches to multiple attribute decision making in uncertain linguistic setting

    Institute of Scientific and Technical Information of China (English)

    徐泽水; 达庆利

    2004-01-01

    We study multiple attribute decision-making problems with uncertain linguistic information, in which the preference values take the form of uncertain linguistic variables. We introduce some operational laws of uncertain linguistic variables and a formula for the comparison between two uncertain linguistic variables. We propose two new aggregation operators called extended uncertain linguistic aggregation (EULA) operator and interval linguistic aggregation (ILA) operator, and then develop an EULA operator-based linguistic approach and an ILA operator-based linguistic approach, respectively, to multiple attribute decision making in uncertain linguistic setting. The approaches are straightforward and do not produce any loss of information. Finally, an illustrative example is given to verify the developed approaches and to demonstrate their practicality and effectiveness.%研究了偏好值以不确定语言变量形式给出的多属性决策问题. 介绍了不确定语言变量的运算法则, 给出了不确定语言变量之间两两比较的可能度公式, 提出了2种新的数据信息集成算子拓展的不确定语言集成(EULA)算子和区间语言集成(ILA)算子, 并且分别提出了基于EULA算子和基于ILA算子的不确定语言环境下的多属性决策方法. 这2种方法不仅简洁、易懂, 而且在运算过程中不会丢失任何决策信息. 最后, 通过算例对2种方法的实用性和有效性进行了说明.

  3. An Interdependent Multi-attribute Group Decision Making Method for Complex Systems Based upon Fuzzy Input with Interval-valued Intuitionistic Trapezoidal Fuzzy Numbers%基于I ITFN输入的复杂系统关联MAGDM方法

    Institute of Scientific and Technical Information of China (English)

    陈振颂; 李延来

    2014-01-01

    The interval-valued intuitionistic trapezoidal fuzzy number (IITFN) is an efficient tool for describing uncer-tainties of complex systems. In this paper, we propose the improved operational laws of IITFNs and discuss their partial closure property. Then an interval-valued intuitionistic trapezoidal fuzzy geometric Bonferroni mean operator is developed, and some relative properties of this operator are also investigated. With respect to a multi-attribute group decision mak-ing (MAGDM) problem, in which there are both interactions among decision-makers and attributes with both unknown decision-makers0 weights and attributes0 weights, an interdependent MAGDM method based on a prospect hybrid interval-valued intuitionistic trapezoidal fuzzy geometric Bonferroni (PHIITFGB) mean operator is proposed. Firstly, the prospect effect, prospect value function, and prospect value of IITFN are defined to obtain the prospect value matrixes. Secondly, the prospect value matrixes are transformed into the corresponding prospect score function matrixes, then a maximum entropy optimization model for determining the objective attribute weights based on a principle of grey correlation deep coefficient and a model for obtaining decision-maker weights based on the combination of 2-additive fuzzy measures and Choquet integral are integrated to determine the decision-makers0 weights and attributes0 weights. Thirdly, evaluations of all the alternatives derived from all the decision makers are aggregated by utilizing the PHIITFGB mean operator, and then the comprehensive prospect value corresponding to each alternative is obtained by integrating the decision-makers0 weights. Finally, a ranking of alternatives is determined by calculating score functions of the alternatives. A practical example is given to illustrate the validity and feasibility of the proposed decision-making methods.%区间直觉梯形模糊数(Interval-valued intuitionistic trapezoidal fuzzy number, IITFN)是刻画复杂

  4. Multi-attribute decision making parametric optimization and modeling in hard turning using ceramic insert through grey relational analysis: A case study

    Directory of Open Access Journals (Sweden)

    Amlana Panda

    2016-09-01

    Full Text Available Machining of hardened work materials with appropriate levels of process parameters is still a burning issue in manufacturing sectors and challenging. It is because of pressing demand of surface quality which adversely affected by evolution of tool wear. Therefore the present investigation is undertaken to make a decision on parametric optimization of multi-responses such as flank wear and surface roughness during machining hardened AISI 52100 steel (55±1 steel using mixed ceramic insert under dry environment through grey relational analysis combined with Taguchi approach. Also predicted mathematical models of 1st and 2nd order have been developed for responses and checked for its accuracy. Second order mathematical model presented higher R2 value and represents best fit of the model and adequate compared to first order model. Model indicates good correlations between the experimental and predicted results. The proposed grey-based Taguchi methodology has been proved to be efficient for solving multi-attribute decision making problem as a case study in hard machining environment.

  5. Defining products for a new health technology assessment agency in Madrid, Spain: a survey of decision makers.

    Science.gov (United States)

    Andradas, Elena; Blasco, Juan-Antonio; Valentín, Beatriz; López-Pedraza, María-José; Gracia, Francisco-Javier

    2008-01-01

    The aim of this study was to explore the needs and requirements of decision makers in our regional healthcare system for health technology assessment (HTA) products to support portfolio development planning for a new HTA agency in Madrid, Spain. A Delphi study was conducted during 2003. Questionnaires were developed based on a review of products and services offered by other agency members of the International Network of Agencies for Health Technology Assessment, and included preference and prioritization questions to evaluate twenty-two different products and services. The initial Delphi panel involved eighty-seven experts from twenty-one public hospitals, eleven primary healthcare centers, six private hospitals, and eight departments of the Regional Ministry of Health of the Community of Madrid. The global participation rate was 83.9 percent. Ten of the twenty-two possible products were rated of high interest by more than 80 percent of respondents. Important differences in preferences and priorities were detected across different settings. Public hospitals and primary healthcare centers shared a more "micro" perspective, preferring classic technology-centered HTA products, whereas private hospitals and Ministry representatives demanded more "macro" products and services such as organizational model and information system assessments. The high participation rate supports the representativeness of the results for our regional context. The strategic development of an HTA portfolio based on decision makers' needs and requirements as identified in this type of exercise should help achieve a better impact on policy development and decision making.

  6. A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.

    Science.gov (United States)

    Peker, Musa

    2016-05-01

    The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of diseases. The primary objective of this study is to improve the accuracy of classification in medical diagnosis problems. To this end, studies were carried out on 3 different datasets. These datasets are heart disease, Parkinson's disease (PD) and BUPA liver disorders. Key feature of these datasets is that they have a linearly non-separable distribution. A new method entitled k-medoids clustering-based attribute weighting (kmAW) has been proposed as a data preprocessing method. The support vector machine (SVM) was preferred in the classification phase. In the performance evaluation stage, classification accuracy, specificity, sensitivity analysis, f-measure, kappa statistics value and ROC analysis were used. Experimental results showed that the developed hybrid system entitled kmAW + SVM gave better results compared to other methods described in the literature. Consequently, this hybrid intelligent system can be used as a useful medical decision support tool.

  7. Reconciling evidence-based medicine and patient-centred care: defining evidence-based inputs to patient-centred decisions.

    Science.gov (United States)

    Weaver, Robert R

    2015-12-01

    Evidence-based and patient-centred health care movements have each enhanced the discussion of how health care might best be delivered, yet the two have evolved separately and, in some views, remain at odds with each other. No clear model has emerged to enable practitioners to capitalize on the advantages of each so actual practice often becomes, to varying degrees, an undefined mishmash of each. When faced with clinical uncertainty, it becomes easy for practitioners to rely on formulas for care developed explicitly by expert panels, or on the tacit ones developed from experience or habit. Either way, these tendencies towards 'cookbook' medicine undermine the view of patients as unique particulars, and diminish what might be considered patient-centred care. The sequence in which evidence is applied in the care process, however, is critical for developing a model of care that is both evidence based and patient centred. This notion derives from a paradigm for knowledge delivery and patient care developed over decades by Dr. Lawrence Weed. Weed's vision enables us to view evidence-based and person-centred medicine as wholly complementary, using computer tools to more fully and reliably exploit the vast body of collective knowledge available to define patients' uniqueness and identify the options to guide patients. The transparency of the approach to knowledge delivery facilitates meaningful practitioner-patient dialogue in determining the appropriate course of action. Such a model for knowledge delivery and care is essential for integrating evidence-based and patient-centred approaches. © 2015 The Authors. Journal of Evaluation in Clinical Practice published by John Wiley & Sons, Ltd.

  8. A decision-analytic approach to define poor prognosis patients: a case study for non-seminomatous germ cell cancer patients

    Directory of Open Access Journals (Sweden)

    Steyerberg Ewout W

    2008-01-01

    Full Text Available Abstract Background Classification systems may be useful to direct more aggressive treatment to cancer patients with a relatively poor prognosis. The definition of 'poor prognosis' often lacks a formal basis. We propose a decision analytic approach to weigh benefits and harms explicitly to define the treatment threshold for more aggressive treatment. This approach is illustrated by a case study in advanced testicular cancer, where patients with a high risk of mortality under standard treatment may be eligible for high-dose chemotherapy with stem cell support, which is currently defined by the IGCC classification. Methods We used published literature to estimate the benefit and harm of high-dose chemotherapy (HD-CT versus standard-dose chemotherapy (SD-CT for patients with advanced non-seminomatous germ cell cancer. Benefit and harm were defined as the reduction and increase in absolute risk of mortality due to HD-CT respectively. Harm included early and late treatment related death, and treatment related morbidity (weighted by 'utility'. Results We considered a conservative and an optimistic benefit of 30 and 40% risk reduction respectively. We estimated the excess treatment related mortality at 2%. When treatment related morbidity was taken into account, the harm of HD-CT increased to 5%. With a relative benefit of 30% and harm of 2 or 5%, HD-CT might be beneficial for patients with over 7 or 17% risk of cancer specific mortality with SD chemotherapy, while with a relative benefit of 40% HD-CT was beneficial over 5 and 12.5% risk respectively. Compared to the IGCC classification 14% of the patients would receive more aggressive treatment, and 2% less intensive treatment. Conclusion Benefit and harm can be used to define 'poor prognosis' explicitly for non-seminomatous germ cell cancer patients who are considered for high-dose chemotherapy. This approach can readily be adapted to new results and extended to other cancers to define candidates for

  9. Knowledge Discovery for Event Series Decision Based on Rough Set

    Institute of Scientific and Technical Information of China (English)

    ZENG Chuan-hua; PEI Zheng; XU Yang

    2006-01-01

    To make decisions about event series is part of our life, and to discover knowledge from these decisions is of great significance in the field of controlling and decision-making.The paper takes event series as the exterior form of movements with the dynamic attributes, and gets the Markov transition probabilities matrix to express those attributes with statistics. First, according to the matrix,the decision table is constructed. Then, by reducing attributes based on rough set theory, the decision table is reduced, and the decision rules are acquired as well. Finally we make the decision through defining rule distance and taking the minimum rule distance as decision principle.Followed is an example, which proves that the algorithm is feasible and effective to the event series decision.

  10. On importance assessment and expertise in non-routine decisions: an exploratory study on the cognition of the weighting process of capital goods' attributes

    NARCIS (Netherlands)

    Heerkens, Hans; Heijden, van der Beatrice

    2002-01-01

    How do actors involved in the acquisition of capital goods assess the importance of their attributes? What is the role of expertise? Numerous instruments exist for measuring the importance attached to attributes, but little is known about the importance assessment process that precedes these importa

  11. Intuitionist Normal Fuzzy Information Aggregation Operators and Their Applications to Multi-attribute Decision Making%基于直觉正态模糊信息集成的多属性决策

    Institute of Scientific and Technical Information of China (English)

    时恩早; 范颖

    2016-01-01

    在直觉正态模糊环境下,首先定义了直觉正态模糊数的新的运算法则,并探究了运算法则的性质;其次,提出了直觉正态模糊信息集成算子,包括直觉正态模糊加权平均算子和直觉正态模糊加权几何算子,并对新提出的两种算子间的大小进行比较;最后在新的信息集成算子基础上,提出了一种处理多属性决策问题的方法;结合区域经济发展研究实例,对提出的系统决策方法进行验证。测试结果表明,多属性决策方法是正确的、可行的与高效的。%In this paper, under the intuitionist normal fuzzy environment, new intuitionist normal fuzzy operational laws are defined and their properties are discussed. Then, the intuitionist normal fuzzy information aggregation operators are investigated, including intuitionist normal fuzzy weighted averaging operator (INFWA) and intuitionist normal fuzzy weighted geometric operator (INFWG). The relationship between these two operators is studied. In the end, based on these two proposed operators, we develop a new method to deal with the multi-attribute decision making problems under the intuitionist normal fuzzy environment, and then apply the presented method to the research on the development of the regional economy. The results obtained from the performance analysis show that our approach is correct, feasible and efficient.

  12. Multi-attribute Decision-making Method Based on Hesitant Intuitionistic Fuzzy Linguistic Set%基于犹豫直觉模糊语言数的多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    徐丹青; 陈小波

    2016-01-01

    综合犹豫直觉模糊集和语言集,提出犹豫直觉模糊语言集。首先,给出犹豫直觉模糊语言数的运算法则,并探讨犹豫直觉模糊语言数的加权算术平均算子和加权几何平均算子。其次,构建犹豫直觉模糊语言数的得分函数和精确函数,并给出犹豫直觉模糊语言数的排序方法。最后,给出犹豫直觉模糊语言数的多属性决策方法,并通过实例验证。%In this paper,we define hesitant intuitionistic fuzzy linguistic set by intergrating hesitant intuitionis⁃tic fuzzy set with linguistic set.Firstly,the operational laws of hesitant intuitionistic fuzzy linguistic number are given,and the weighted arithmetic averaging operator and the weighted geometric averaging operator of hesitant intuitionistic fuzzy linguistic number are explored.Secondly,score function and accuracy function of hesitant intuitionistic fuzzy linguistic number are given,then an approach of raking hesitant intuitionistic fuzzy linguistic number is studied.Finally,the multi-attribute decision making method of hesitant intuitionis⁃tic fuzzy linguistic number is proposed,and an example is given to verify the proposed method.

  13. 基于广义马氏距离的混合型多属性决策的TOPSIS方法%TOPSIS Method for Hybrid Multiple-Attribute Decision Making Based on Generalized Mahalanobis Distance

    Institute of Scientific and Technical Information of China (English)

    张峰; 谢振华; 程江涛; 林健; 徐衡博

    2013-01-01

    In order to solve the hybrid multiple-attribute decision making problem, different attribute values were unified into interval number. In the TOPSIS based on Mahalanobis distance, because of the strong linear correlation indexes, the covariance matrix was singular, and calculating the Mahalanobis distance didn’t work . Therefore , covariance matrix of in-terval number was defined and singular value decomposition method was adopted to calculate generalized inverse matrix of covariance matrix. The improved algorithm overcame the defects in the traditional TOPSIS model of river health assess-ment, such as correlations between indices, uncertainty in estimating the weights subjectively, difficulty in determining the membership function and possibility of the scheme closed to ideal solution and negative-ideal solution concurrently. In the end, a numerical example illustrated the validity and applicability of the proposed method.%为了解决混合型多属性决策问题,将不同属性值转换为区间数形式。在基于马氏距离的逼近理想解排序法(TOPSIS)中,指标间线性强相关导致协方差矩阵为奇异矩阵,不能计算马氏距离。因此,定义了区间数的协方差矩阵,采用奇异值分解方法计算协方差矩阵的广义(M-P)逆矩阵。改进的算法克服了传统TOPSIS存在的指标信息重复、主观赋权不合理、隶属度难以确定,以及可能出现与理想解欧式距离近的方案与负理想解的欧式距离也近的不足。最后,给出了该方法的一个算例,结果表明该决策方法是实用和可行的。

  14. Identification and Prioritization of Important Attributes of Disease-Modifying Drugs in Decision Making among Patients with Multiple Sclerosis : A Nominal Group Technique and Best-Worst Scaling

    NARCIS (Netherlands)

    Kremer, Ingrid E. H.; Evers, Silvia M. A. A.; Jongen, Peter J.; van der Weijden, Trudy; van de Kolk, Ilona; Hiligsmann, Mickael

    2016-01-01

    Objectives Understanding the preferences of patients with multiple sclerosis (MS) for disease-modifying drugs and involving these patients in clinical decision making can improve the concordance between medical decisions and patient values and may, subsequently, improve adherence to disease-modifyin

  15. Study of Tactics Decision Making Modeling Based on Bidirectional Heuristic Attributes Reduction%基于双向启发式属性约简的战术决策建模研究

    Institute of Scientific and Technical Information of China (English)

    张媛; 张立民; 刘文彪; 陈洁

    2012-01-01

    Starting from the multi-aircrafts cooperative air combat under command and control of early warning aircraft task principle analysis, a tactics decision-making modeling based on bidirectional heuristic attributes reduction in incomplete information system is put forward, which aims at the uncertain and incomplete question in the decision making process for the beyond-visual-range cooperative air combat. Firstly, considered the decision-making attributes missing or uncertain in the rough set decision, the complete selection of the incomplete decision-making information system is established according to the concept for the extended incomplete information; Secondly, based on the attributes reduction with discemibility matrix, the most value of the attributes frequency as heuristic information is selected to make bidirectional selection for the decision-making information system attributes reduction, which is to get the most optimal reduction; And then, the optimal selection of the decision-making information system is presented according to the principle to make the decision have the maximum probability. The decision-making rules is extracted from the optimal selection; Lastly, according to the combat's tentative plan for CGF entity in the beyond-visual-range cooperative air combat, in which both soft and hard kill weapons are applied, a synthesized tactical decision-making model for CGF entity is established. A decision-making example has been presented to illustrate the decision-making course and verified its correctness and validity. The results show that the method can present the synthesized tactical actions for CGF entity accurately in the condition of incomplete combat's information.%从预警机指挥引导的多机协同空战原则分析出发,针对超视距协同空战决策过程中的不确定性和不完备性问题,提出了一种不完备信息系统中的基于双向启发式属性约简的战术粗决策建模方法.首先考虑粗糙集决策过

  16. Use of the sensitivity analysis for multi-attributes decision models for oil exploration and production systems; Uso da analise de sensibilidade em modelos de decisao multiatributos para sistemas de exploracao e producao de petroleo

    Energy Technology Data Exchange (ETDEWEB)

    Furtado, Ricardo

    2000-07-01

    Today, oil companies must be able to survive in a hostile and competitive environment. Such environment involves volatility of oil prices, the narrow margins of profitability, and ever increasing environmental restrictions. In order to survive, firms must have the appropriate tools to consider the tradeoffs involving the financial, environmental, technological and of market parameters which are the key elements within the investment decision-making process. The aim of the present work is to analyze the behavior of the weights (relative importance) of the attributes int the multi-criteria decision model through a high dimension sensitivity analysis. Among the benefits of such method are: provide the analyst (decision-maker) with a better characterization and control of the weights of the attributes, providing the user with a clear view of the entire decision process. The methodology suggested in this dissertation was applied in two oil exploration and production case studies. The first case involved the selection of an exploratory target among three options. In this case, there is interaction of the objectives of the company, where financial, technological and of market parameters interact. In the second case, a hypothetical production project is suggested. For this second study, the decision-maker has the option of using one of the following production systems: a FPSO (Floating, Production, Storage and Offloading); a TLP (Tension Leg Platform); or a SS (Semi Submersible). The attributes for each one of the production systems are financial, technological and environmental. In this second case, the model makes it possible to simulate several options, providing the manager with the choice of the most appropriate production system to this objectives and preferences. (author)

  17. 基于知识粒度的不完备决策表的属性约简的矩阵算法%Discernibility Matrix Algorithm of Attribute Reduction Based on Knowledge Granulaion in Incomplete Decision Table

    Institute of Scientific and Technical Information of China (English)

    张清国; 郑雪峰

    2012-01-01

    There are many attribute reduction definitions. We researched attribute reduction based on knowledge granuation in incomplete decision table. The discernibility matrix method is a good way to design attribute reduction algorithm. So we gave the definition of discernibility matrix of granulation and the corresponding definition of attribute reduction. At the same time, we proved that the definition is the same as the definition about attribute reduction based on knowledge granulation in incomplete decision table. On this condition, we used the above discernibility matrix of granulation to design an efficient algorithm of attribute reduction based on knowledge granulation in incomplete. Its time complexity is reduced.%基于不完备决策表的属性约简定义有多种,现研究基于知识粒度的属性约简.研究发现,差别矩阵是一种较好的设计属性约简算法的方法.为此,定义了一种粒度差别矩阵和基于该差别矩阵的属性约简,并证明了该差别矩阵的属性约简定义与基于知识粒度的属性约简定义等价.在此基础上,设计了一个新的基于信息量的不完备决策表的属性约简算法,其时间复杂度得以降低.

  18. A sorting method of multi-attribute decision making based on dominance rough set theory%一种基于优势粗糙集的多属性决策排序方法

    Institute of Scientific and Technical Information of China (English)

    李佳; 梁吉业; 庞天杰

    2016-01-01

    多属性决策问题的实质是利用已有的决策信息,通过一定方式对备选对象进行分析、排序、择优和评价,以找到一种简捷方便的排序方法。运用优势粗糙集理论对决策对象进行详细的分析,在此基础上,针对多属性决策排序结果中“并列”决策现象的存在,将基于信息量的属性重要性度量引入到优势度排序方法中,进一步细化排序结果。最后通过与其他排序方法在具体算例中的对比分析,验证了该方法的合理性、有效性。%The essence of the multi‐attribute decision making problems is to analyze ,sort ,select and evaluate the alternative objects by existing decision‐making information ,aiming to find a simple and convenient method of sorting .However ,the dominance relation is an important method of solving the multi‐attribute decision making problems .Firstly ,Dominance Rough Set Theory is used for detailed analysis on decision‐making objects .On this basis ,according to the research of the sorting methods in the complete ordered information system ,we propose a dominance degree sorting method based on attribute weight to solve the problem that parallel decision phenomenon maybe result in the sorting failure in multi‐attribute decision making sorting results .This new sorting method takes into account the importance of attributes in the sorting results ,and introduces the attribute measurement based on information quantity into the dominance degree sorting method ,to further refine the result of the sort .Furthermore , a specific real example was used to show the validity and advantages of this method .Finally ,compared with other sorting methods in specific cases ,the results illustrate that the new sorting method can not only solve the schedule problem in real life ,but also make the sorting results more reasonable and effective .

  19. Multi-attribute group decision making method based on interval grey linguistic variables weighted geometric aggregation operator%一种基于区间灰色语言变量几何加权集成算子的多属性群决策方法

    Institute of Scientific and Technical Information of China (English)

    刘培德; 张新

    2011-01-01

    A method based on the interval grey linguistic variables weighted geometric aggregation operatoris presented to solve the multiple attribute group decision making problems, in which the attribute values and the weights take the form of the interval grey linguistic variables(IGLV). Firstly, some properties are defined, such as the concept and the relational calculation rules of IGLV. Then, some operators are defined, such as interval grey linguistic weighted geometric aggregation operator, interval grey linguistic ordered weighted geometric aggregation operator, and interval grey linguistic hybrid weighted geometric aggregation operator, which are utilized to solve the group decision making problems. Finally, an illustrate example shows the decision-making steps and the effectiveness of this method.%针对属性值和属性权重均为区间灰色语言变量的多属性群决策问题,提出一种基于区间灰色语言变量的加权几何集成算子的多属性群决策方法.首先,给出区间灰色语言变量的定义和运算规则;然后详细介绍了区间灰色语言变量加权几何集成算子、区间灰色语言变量有序加权几何集成算子、区间灰色语言变量混合加权几何集成算子,以及利用这算子进行群决策的方法;最后,通过实例说明了所提出方法的决策步骤,并验证了方法的有效性.

  20. 属性权重不确定条件下的区间直觉模糊多属性决策%Multi-attribute Decision Making with Uncertain Attribute Weight Information in the Framework of Intervai-valued Intuitionistic Fuzzy Set

    Institute of Scientific and Technical Information of China (English)

    张英俊; 马培军; 苏小红; 张池平

    2012-01-01

    In this paper, we investigate the multi-attribute group decision making problems with binding conditions of attribute weight information and unknown attribute weights in the framework of interval-valued intuitionistic fuzzy set (IVIFS). Firstly, a collective interval-valued intuitionistic fuzzy (IVIF) decision making matrix is determined by integrating all the decision making matrices derived from every decision makers. Secondly, we obtain the distance degree values between every alternative and the ideal-positive alternative depending on the technique for order preference by similarity to an ideal solution (TOPSIS) method. Finally, the ranking order of all the alternatives is determined through the obtained distance degree values. On one hand, a linear-programming method based on an accuracy function of IVIFS is proposed to calculate the attribute weights aiming at the decision making problem with binding attribute weight conditions. On the other hand, we propose a new definition of IVIF entropy, and choose attribute weights according to the information quantity of every alternative depending on IVIF entropy aiming at the decision making problem with completely unknown attribute weight information. The simulation shows the validity and feasibility of the proposed decision making methods.%在区间直觉模糊集(Interval-valued intuitionistic fuzzy set,IVIFS)的框架内,重点研究了属性权重在一定约束条件下和属性权重完全未知的多属性群决策问题.首先利用区间直觉模糊集成算子获得方案在属性上的综合区间直觉模糊决策矩阵,进一步依据逼近理想解排序法(Technique for order preference by similarity to an ideal solution,TOPSIS)的思想计算候选方案和理想方案的加权距离,最后确定方案排序.其中针对属性权重在一定约束条件下的决策问题,提出了基于区间直觉模糊集精确度函数的线性规划方法,用以解决属性权重求解问题.针对属性权重完

  1. 多属性群决策视角下的虚拟企业伙伴选择%Partner Selection of Virtual Enterprises in View of Multi-Attribute Group Decision-Making

    Institute of Scientific and Technical Information of China (English)

    张敏; 肖人彬

    2011-01-01

    在虚拟企业组建过程中,合作伙伴的选择关系到虚拟企业的成败.为解决该问题,文中基于逼近理想点的基本思想,建立了属性值为区间数的伙伴选择多属性群决策模型.根据不同决策者对属性赋权的不同,得出候选企业相对于决策者个体理想点的接近度;根据决策者权威性的不同,得出候选企业相对于群体理想点的接近度,并据此对候选企业排序.最后通过一个算例验证了该方法是合理和有效的.%As the partner selection is crucial to the establishment of virtual enterprises, a multi-attribute group decision-making model is proposed based on the thought of similarity to ideal solution (TOPSIS), which takes the attribute values as the interval number. In this model, according to the individual weight of each decision maker for each attribute, the closeness of each candidate enterprise to the individual ideal point of each decision maker is obtained. Then, according to the authorities of all decision makers, the closeness of each candidate to the group ideal point is computed, by which a right order of candidate enterprises can be acquired. The rationality and feasibility of the proposed method is verified by a numerical example in the end.

  2. Learning multimodal latent attributes.

    Science.gov (United States)

    Fu, Yanwei; Hospedales, Timothy M; Xiang, Tao; Gong, Shaogang

    2014-02-01

    The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. Attribute learning has emerged as a promising paradigm for bridging the semantic gap and addressing data sparsity via transferring attribute knowledge in object recognition and relatively simple action classification. In this paper, we address the task of attribute learning for understanding multimedia data with sparse and incomplete labels. In particular, we focus on videos of social group activities, which are particularly challenging and topical examples of this task because of their multimodal content and complex and unstructured nature relative to the density of annotations. To solve this problem, we 1) introduce a concept of semilatent attribute space, expressing user-defined and latent attributes in a unified framework, and 2) propose a novel scalable probabilistic topic model for learning multimodal semilatent attributes, which dramatically reduces requirements for an exhaustive accurate attribute ontology and expensive annotation effort. We show that our framework is able to exploit latent attributes to outperform contemporary approaches for addressing a variety of realistic multimedia sparse data learning tasks including: multitask learning, learning with label noise, N-shot transfer learning, and importantly zero-shot learning.

  3. Attribute-Value Functions as Global Interpretations of Attribute Importance

    NARCIS (Netherlands)

    Ittersum, van K.; Pennings, J.M.E.

    2012-01-01

    In order to better understand decision maker’s perceptions of the importance of attributes, Goldstein (1990) differentiates between global and local interpretations of attribute importance. While the appreciation for the distinction is growing, research on the relationship between measures of global

  4. Multi-Attribute Group Decision-Making for Water Resources Management Based on Two-Tuple Linguistic%二元语义的水资源管理方案多属性递阶群决策

    Institute of Scientific and Technical Information of China (English)

    李凌湧

    2014-01-01

    基于二元语义的水资源管理多属性递阶群决策模型,将水资源管理决策群体分为基层技术组 A、中层专家组 B和高层管理组 C,提出了二元语义决策评价准则,建立了 A、B、C 三层决策矩阵的联合矩阵;最后由联合矩阵求出全体专家的最满意方案。绵阳市水资源合理配置决策分析的实例应用结果表明,该决策模型既能合理集结不同层次决策群体的信息,又能避免语言评价信息集结和运算中出现的信息损失和扭曲,是一种可行的建模方法。%Water resources management often involves many complex factors,such as social values,economic development,environmental protec-tion and industry management. Usually,decision-making on water resources system is an uncertain,hierarchical,and multi-attribute group deci-sion-making process. In this paper,the conversion relationship between three types of weight function-whiten and two-tuple linguistic were studied and water resources management multi-attribute group decision-making model based on two-tuple linguistic was proposed. Decision groups of water resources management were classified into the technical group A of basic-level,the experts group B of middle-level and the management group C of high-level. Then it put forward water resources management decision-making criteria based on two-tuple linguistic and established the confederate matrix according to the decision-making matrices A,B and C;finally,it found out all expertsˊmost satisfying scheme by the conjoint matrix. The results of Mianyang Cityˊs water resources decision-making analysis show that the decision-making model can reasonably aggregate the information of different decision-making groups and avoid information loss and distortion in the aggregating and operations of linguistic assessment information.

  5. Multiple Attributes Decision Making Model for Reasonable Allocation Schemes of Freeway Maintenance Machinery%高速公路养护机械合理配置方案的多属性决策模型

    Institute of Scientific and Technical Information of China (English)

    吴彪; 戴彤焱; 何挺继

    2011-01-01

    以经济性、技术性、协调性、适应性为主要元素,构成表征养护机械配置方案的属性集合;利用三角模糊数的相似度和可能度理论,构建高速公路养护机械合理配置方案的多属性决策模型,模型中通过单目标优化模型确定属性的最优权重向量.以某高速公路机械化养护中心的养护机械配置为例,证明该方法切实可行.%The attributes' sets characterizing maintenance machinery allocation schemes are first constituted using the economy, technicality, coordination and adaptability as the major elements. Then the multi-attribute decision-making model for freeway maintenance machinery allocation schemes is built based on triangular fuzzy number and combined with the concept of similarity degree and possibility degree. The optimal weights are derived by solving an optimization model of simple object. The application of the maintenance machinery allocation of a certain freeway mechanization conservation center is presented for demonstration. Case study shows that the method of multi-object decision-making is feasible and effective. The model provides a new method for decision-making for reasonable allocation of freeway maintenance machinery.

  6. 犹豫模糊EWAA算子及其多属性决策方法%Hesitant fuzzy EWAA aggregation operators and their application to multi-attribute decision-making

    Institute of Scientific and Technical Information of China (English)

    金飞飞; 裴利丹; 陈华友; 周礼刚

    2015-01-01

    犹豫模糊信息集结是犹豫模糊集理论中的重要组成部分,近年来由于其越来越受到关注,已成为一个新的研究方向。基于Einstein运算定义了犹豫模糊元间的运算法则,比如:Einstein和、Einstein积以及Einstein幂运算。提出了三种新的Einstein算术平均集结算子,即犹豫模糊Einstein加权平均(HFEWA)算子、犹豫模糊Einstein有序加权平均(HFEOWA)算子以及犹豫模糊Einstein混合平均(HFEHA)算子。基于新的Einstein算术平均集结算子给出一种新的处理犹豫模糊环境下多属性决策问题的方法,并结合实例对决策方法的可行性与有效性进行检验。%Hesitant fuzzy information aggregation plays an important part in hesitant fuzzy set theory, which has emerged to be a new research direction receiving more and more attention in recent years. Some operations on hesitant fuzzy ele-ments are defined, such as Einstein sum, Einstein product and Einstein exponentiation. Three new kinds of Einstein arith-metic averaging aggregation operators are proposed, such as Hesitant Fuzzy Einstein Weighted Averaging(HFEWA)oper-ator, Hesitant Fuzzy Einstein Ordered Weighted Averaging(HFEOWA)operator and Hesitant Fuzzy Einstein Hybrid Aver-aging(HFEHA)operator. According to these new kinds of Einstein arithmetic average aggregation operators, a new approach for hesitant fuzzy multi-attribute decision-making problems is developed, and an illustrative example is given to verify the developed method and to demonstrate its practicality and effectiveness.

  7. Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development.

    Science.gov (United States)

    McCoy, Allison B; Wright, Adam; Sittig, Dean F

    2015-09-01

    Clinical decision support (CDS) is essential for delivery of high-quality, cost-effective, and safe healthcare. The authors sought to evaluate the CDS capabilities across electronic health record (EHR) systems. We evaluated the CDS implementation capabilities of 8 Office of the National Coordinator for Health Information Technology Authorized Certification Body (ONC-ACB)-certified EHRs. Within each EHR, the authors attempted to implement 3 user-defined rules that utilized the various data and logic elements expected of typical EHRs and that represented clinically important evidenced-based care. The rules were: 1) if a patient has amiodarone on his or her active medication list and does not have a thyroid-stimulating hormone (TSH) result recorded in the last 12 months, suggest ordering a TSH; 2) if a patient has a hemoglobin A1c result >7% and does not have diabetes on his or her problem list, suggest adding diabetes to the problem list; and 3) if a patient has coronary artery disease on his or her problem list and does not have aspirin on the active medication list, suggest ordering aspirin. Most evaluated EHRs lacked some CDS capabilities; 5 EHRs were able to implement all 3 rules, and the remaining 3 EHRs were unable to implement any of the rules. One of these did not allow users to customize CDS rules at all. The most frequently found shortcomings included the inability to use laboratory test results in rules, limit rules by time, use advanced Boolean logic, perform actions from the alert interface, and adequately test rules. Significant improvements in the EHR certification and implementation procedures are necessary. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  8. 基于一种属性约简算法的核事故应急决策模型研究%Study on Nuclear Accident Emergency Decision Based on Attribute Reduction Algorithm

    Institute of Scientific and Technical Information of China (English)

    周书民; 温立; 叶志翔; 徐玮

    2011-01-01

    To solve the problem of redundant attributes that may interfere with program evaluation in nuclear accident emergency decision, an attribute reduction algorithm based generalized variable precision fuzzy- roughness sets is proposed. Firstly, the algorithm transforms the real attribute value into quantitative value, establishes fuzzy similarity classes according to the latter value, introduces error parameter and relative misclassification rate to calculate approximate classification quality to achieve reduced attributes and their objective weights by the attribute importance, and then constructs the approximation degree between the programs and ideal points under each set of reduced attributes to select the most optimal one. At last, an example proves the validity of this method.%为了解决核事故应急决策中属性冗余并可能干扰正确评估方案的问题,提出一种基于广义变精度模糊粗糙集的属性约简算法.首先将每个方案对应的属性值量化,根据量化后的值建立模糊相似类,引入误差参数和相对错误分类率求出不同属性组合下的近似分类质量进行属性约简,并计算约简集合下属性的客观权重,将被评方案在每个约简集合下到理想点的贴近度加权求和以确定其优选顺序.实例分析证明了该算法的有效性.

  9. 概率OWA算子及其在多属性决策中的应用%Probability OWA Operator and Its Application to Multi-Attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    黄先玖; 朱传喜; 陈春芳; 武林

    2009-01-01

    We proposed probability ordered weighted averaging(P-OWA) operator, and study some of its characteristics. Based on this operator, we develop a approach forsolving uncertain multi-attribute decision-making problems, in which the attribute weights and the probability of the situation are completely known. Finally, an illustrative example is given.%提出了概率有序加权平均算子(P-OWA算子),研究了该算子的一些基本性质,基于该算子提出了属性权重确知、各状态概率已知的不确定多属性决策方法,最后,进行了实例分析.

  10. Extensions of WC-OWA operator and their applications in risk multi-attribute decision making%WC-OWA算子的拓展及其在风险型多属性决策中的应用

    Institute of Scientific and Technical Information of China (English)

    陈春芳; 朱传喜; 余克弟

    2011-01-01

    The extensions of the weighted C-OWA (WC-OWA) operators ware investigated. Some new aggregation operators and the properties of them were obtained. Futhernore.it proposd an approach to solve risk multi-attribute decision making,in which the attribute values were interval numbers. Finally,an illustrative example was illustrated to show the feasibility of the approach.%研究WC-OWA算子的拓展形式,得到了一些新的数据集成算子,并对其性质进行了研究.在此基础上,探讨属性值以区间形式给出的风险型多属性决策的方法,并用实例进行分析说明该方法的可行性.

  11. Decision rules for decision tables with many-valued decisions

    KAUST Repository

    Chikalov, Igor

    2011-01-01

    In the paper, authors presents a greedy algorithm for construction of exact and partial decision rules for decision tables with many-valued decisions. Exact decision rules can be \\'over-fitted\\', so instead of exact decision rules with many attributes, it is more appropriate to work with partial decision rules with smaller number of attributes. Based on results for set cover problem authors study bounds on accuracy of greedy algorithm for exact and partial decision rule construction, and complexity of the problem of minimization of decision rule length. © 2011 Springer-Verlag.

  12. A Critical Review on Risk Decision-making and its Attributes%风险决策及其影响因素研究综述

    Institute of Scientific and Technical Information of China (English)

    王家远; 李鹏鹏; 袁红平

    2014-01-01

    现有风险决策研究大多基于“理性人假设”,忽略了态度等主观因素对决策的影响,很大程度上影响了决策的准确性与可靠性。近年来,态度等主观因素在风险决策中的作用引发了越来越多的关注。然而,至今尚未有学者对已有研究成果进行系统化梳理。通过对2001~2012年间9种权威期刊中相关研究的分析,从学术贡献、研究方法以及研究内容等方面进行归纳、评述,指出现有研究的局限之处,并对未来的研究提出了相应的建议。%The existing research on risk decision-making is mainly based on the hypothesis of rational man,neglecting the influence of subjective factors(such as attitudes)on risk decision-making,which would largely affect the accuracy and reliability of decisions. Recently,scholars pay increasing attention to the influence of subjective factors on risk-based decision-making. However, there is a lack of systemic review on this topic. Thus,this study summarized previous research through examining the literature published from 2001 to 2012 in nine international journals. The literature was analyzed in terms of their academic contributions, research methods and research topics. Drawing on the discussions,some research limitations were pointed out and some suggestions were provided.

  13. 基于改进直觉模糊集成算子的多属性决策方法及其应用研究%Research on the Multiple Attribute Decision Making and Application Based on Improved Intuitionistic Fuzzy Aggregation Operators

    Institute of Scientific and Technical Information of China (English)

    吴冲; 王琦

    2013-01-01

    基于直觉模糊集理论,提出了改进直觉模糊集成算子方法来研究多属性决策问题。本文定义了直觉模糊数的运算法则和比较了直觉模糊信息的一系列集成算子,然后改进了传统得分函数,并将其与直觉模糊集成算子相结合,从而得到新的直觉模糊信息的集成方式,将其运用于解决属性权重已知的直觉模糊多属性决策问题。最后,通过具体实例说明该方法的有效性和具体应用过程。%Based on intuitionistic fuzzy sets theory , the improved intuitionistic fuzzy aggregation operator is pres-ented to research the multiple attribute decision making problems .In this paper , we define the algorithms of intuitionistic fuzzy and compare the intuitionistic fuzzy information integrated operators .Then we improve the classic score function , combine that with the intuitionistic fuzzy aggregation operators and hence obtain a new method to integrate intuitionistic fuzzy information .This method is applied to solve the intuitionistic fuzzy multi-ple attribute decision making problems with known attribute weights .Finally, an example is shown to illustrate the effectiveness and procedure of the proposed method .

  14. 求解约束多目标区间优化的交互多属性决策NSGA-II算法%Interactive multi-attribute decision-making NSGA-II for constrained multi-objective optimization with interval numbers

    Institute of Scientific and Technical Information of China (English)

    陈志旺; 陈林; 白锌; 杨七; 赵方亮

    2015-01-01

    针对约束多目标区间优化问题,提出一种交互多属性决策NSGA-Ⅱ算法.该算法将非线性问题线性化,定义占优支配关系求出个体的序值,定义区间拥挤距离来区分具有相同序值个体的优劣,采用约束精英策略删除种群中不满足约束的个体.将选出的个体作为方案集,目标函数作为属性集,决策者对于各目标函数的偏好作为属性权重,构建一个多属性决策模型,在进化过程中融入该模型来选取符合决策者偏好的满意解.仿真实验验证了所提出方法的可行性和正确性.%For constrained multi-objective optimization problems with interval numbers, a kind of interactive multi-attribute decision-making NSGA-Ⅱ is proposed. In this algorithm, nonlinear optimization problems are transformed into linear ones.dominance relationship is defined to get the rank values of individuals and interval crowding distance is presented to distinguish the quality of the individuals with the same rank value. A constrained elite strategy is used to remove those individuals that do not satisfy the constraint from the population. A multi-attribute decision-making model(DMM) is built, which regards the selected individuals as the alternatives set, the objective function as the attributes set, and the preference of each objective function as the attribute weights. In the process of evolution, an interactive NSGA-Ⅱ incorporated with DMM is proposed to obtain satisfactory solutions which conform to the decision-makers preference. Simulation results show the feasibility and correctness of the proposed method.

  15. 权重信息未知情况下的多属性群决策方法及其拓展%A Method for Multiple Attribute Group Decision Making with Complete Unknown Weight Information and Its Extension

    Institute of Scientific and Technical Information of China (English)

    郭凯红; 李文立

    2011-01-01

    本文针对群决策中专家权重及指标权重难以确定的问题,提出一种在权重信息完全未知情况下的基于证据距离和模糊熵权变换的多属性群决策方法,其核心在于如何仅通过决策矩阵客观地确定决策者权重及指标权重。通过信息熵和证据距离确定专家权重,并利用模糊变换原理,将专家权重向量与指标熵权矩阵合成,得到统一的群体决策指标权重;最后使用线性加权法集成所有专家对备选方案的评价信息,得到整个方案集的排序。实验结果及相关讨论表明,该方法概念清晰,计算量适中,具有较强的客观性,而且易于机器实现,是一种可行、有效的多属性群决策方法。最后将该方法推广到属性值由精确数、语言值、区间数、直觉模糊数等多种形式构成的混合型多属性群决策中。%In view of the hard problem that the weights of decision makers and criteria are usually vague and imprecise in group decision making process, we propose a linear method of multi-attribute group decision making with complete ignorance of weight information, with the emphasis on how to objectively determine the weights of decision makers and the weights of criteria only by decision matrices. We firstly introome of fuzzy transformation to obtain the united weights of criteria in group decision making. Finally a linear weighted method is utilized to aggregate individual opinions of decision makers for rating the importance of alternatives. Two numerical examples for supplier selection and some relevant discussion are given to examine the feasibility and validity of the presented approach, which is characterized by clear concept, mod- erate computational complexity, strong objective, and easy machine implementation. In the end we extend it to hybrid multiple attribute group decision making with attribute values in the various forms of precise numbers, linguistic terms, intervals, and intuitionistic fuzzy

  16. 基于多专家区间数的多属性群决策方法%Method for multi-attribute group decision-making based on multi-experts' interval numbers

    Institute of Scientific and Technical Information of China (English)

    毛军军; 王翠翠; 姚登宝

    2012-01-01

    针对区间数的多专家多属性决策问题,提出了一种基于非线性规划模型的群决策方法.该方法建立如下准则:在不同对象和属性下,当某专家的估计值与所有专家估计值的均值越靠近时,则其专家权重就越大;反之就越小.基于该准则利用区间距离公式和规划模型解决了专家权重难以确定的问题.结合集成算子理论,利用区间数算术平均算子将决策矩阵集成为综合决策矩阵,再利用属性权重将其集成为综合属性值,通过二维可能度建立比较可能度矩阵,然后利用排序向量法进行排序.最后通过实例分析验证了该方法的可行性和合理性.%A group decision-making method based on non-linear programming model was proposed for multi-attribute problem based on multi-experts' interval numbers. This method had constructed the following principles: under different objects and attribute conditions, the weight of an expert would be bigger if his evaluation value was close to the mean value of all experts' evaluation; on the other hand, smaller. Based on this, the problem that experts' weights were hard to be determined had been solved successfully with interval distance formula and programming model. According to aggregated operator theory, decision-making matrices had be aggregated into a collective decision-making matrix by use of interval weighted arithmetic aggregated operator, then aggregated into an overall attribute value by attribute weights, and with two-dimensions possibility degree, a possibility degree matrix had been constructed to rank all objects by ranking vectors method. Finally, a case study was presented to verify the proposed method's feasibility and rationality.

  17. Threat Assess ment Method with Uncertain Attribute Weight Based on Intuitionistic Fuzzy Multi-Attribute Decision%属性权重不确定的直觉模糊多属性决策的威胁评估方法

    Institute of Scientific and Technical Information of China (English)

    王毅; 刘三阳; 张文; 王亚男

    2014-01-01

    在直觉模糊集的框架下,重点研究了目标属性值为区间数且权重完全未知,决策者对方案具有偏好信息的问题,提出一种属性权重不确定的直觉模糊多属性决策的威胁评估方法。首先,针对上述问题,建立了直觉模糊区间判断矩阵,给出了目标属性为区间数的指标值规范化处理方法;其次,分析了决策者对方案中所涉及的目标属性、属性权重及决策者权威度,建立了群决策的方案偏好模型;再次,针对目标属性值在某一区间内变化的特点,给出了直觉模糊区间值的接近度与理想解的定义,建立了最优属性权重约束优化模型;最后,以典型的威胁评估实例验证了该方法可同时反映主观和客观信息对目标威胁评估的影响,可有效避免因部分传感器失效或受外界环境因素影响以及决策者主观经验所带来的偏差,实际目标威胁评估结果验证了该方法的优越性。%Under the framework of IFS(Intuitionistic Fuzzy Sets),aiming at the situation that targets’attributes are interval value,the weights are totally unknown,and decision-makers have preference information,a threat assessment method with uncertain attribute weight based on intuitionistic fuzzy multi-attribute decision is proposed .Firstly,based on the above-mentioned problem,in-tuitionistic fuzzy interval judgment matrix is set up,and a standard interval value index processing method is put forward;secondly, by analyzing the target attribute,attribute weight,and decision-makers’authority degree in project,the preference project model in group decision making is finally constructed;thirdly,according to the attribute’s variety character in interval value,the definition of intuitionistic fuzzy interval value’s similarity and ideal resolve is given,and the optimization attribute weight restriction model is built up;lastly,some typical threat assessment examples are cited to

  18. 基于直觉模糊信息多属性群决策的新方法%A New Method of Multi-attribute Large Group Decision Making Based on Intuitionistic Fuzzy Information

    Institute of Scientific and Technical Information of China (English)

    陶志富; 陈华友; 周礼刚

    2011-01-01

    给出了直觉模糊信息的比较可能度和数乘运算的概念,考虑了基于直觉模糊信息且属性权重完全未知的多属性群决策问题.基于直觉模糊熵权理论和相对熵原理建立相应最优化模型,讨论了模型的求解,获得了属性的客观权重和方案的最终权重,并依据方案的最终权重对方案进行排序.通过一个算例表明所提方法的有效性.%The comparing possibility and numerical multiplication of intuitionistic fuzzy information are given, and the multi-attribute group decision making based on intuitionistic fuzzy information and unknown weights of each attribute are considered. Some models on the basis of intuitionistic fuzzy entropy weights and relative entropy theory are contributed, their solutions are discussed, through which the corresponding objective weights of each attribute and the final weights of each scheme, and then obtain the order of all schemes based on the final scheme weights. Finally, a numerical example is introduced to show the application of this method.

  19. 超立方体分割下的区间数多属性决策及应用%Method for Multiple-Attribute Decision Making with Intervals and Its Application under Hypercube Segmentation

    Institute of Scientific and Technical Information of China (English)

    张方伟; 邹智杰; 时宝; 徐士河

    2011-01-01

    We propose a method for solving the multi-attribute decision making problems, in which the attribute values are interval numbers and the attribute weights are real numbers. The method is based on theory of hypercube segmentation and combined with analytic hierarchy process theory. In this approach, the comparison and the operations between interval numbers are avoided, and our method can effectiely resist disturbance. Finally, an example is given to show the rationality and effectiveness of the new method.%针对属性值以区间数形式给出、属性权重以实数形式给出的多属性决策问题,以超立方体分割为基础,结合层次分析法相关理论,给出了一种计算机编程求解方法.我们给出的方法能够避开区间数的运算,且求解过程无误差积累;最后,给出了一个例子验证了新方法的有效性.

  20. 部分权重信息下的区间数多指标灰靶决策模型%Multi-attribute Grey Interval Target Decision Making Model under Partial Weight Information

    Institute of Scientific and Technical Information of China (English)

    裴玲玲; 陈万明

    2013-01-01

    针对决策信息为区间数且部分权重信息已知的多指标决策问题,对现有的灰靶决策模型进行了拓展研究。首先建立了区间数灰靶和靶心距,并基于所有方案综合属性值最大化的准则,对各方案进行局部优化,然后采用两阶段法求出最佳协调向量,根据归一化的组合权向量计算各方案的综合属性值,并据此进行排序与决策。最后以实例验证了新模型的有效性与实用性。%In order to solve the multi-attribute decision making problem under the conditions that decision-making information is the interval number and the weight information is partially known , the grey target decision making model is expanded in this paper .First, the grey interval target and its bull ’ s-eye are established , and overall values of all programs based on the criteria to maximize the weights of all the projects are optimized based on the criterion to maximize the sum of all attributes ’ values.Then, the two-stage method is used to find the optimal coordination vector and thus all the projects can be ranked by comparing the overall values .Finally, the effec-tiveness and practicality of the model is proved by real project .

  1. Linguistic multiple attribute group decision making model for traffic pollution control%交通污染排放的纯语言型多属性群决策模型

    Institute of Scientific and Technical Information of China (English)

    魏明; 李永利; 陈浩

    2016-01-01

    为了有效评估不确定性交通污染排放控制方案的优劣,针对客观事物的复杂性及人类思维的模糊性,在构建影响其方案选择的指标体系基础上,利用语言变量刻画其不确定性,考虑决策者的主观偏好,研究一类该问题的多属性群决策模型。该模型有效地避免了传统方法无法处理交通污染排放属性权重完全未知、属性值和对方案的主观偏好值的缺陷,从而使得交通污染排放管控决策更具有科学性和合理性。以某道路的5个交通污染气体排放方案评估为例,并与无决策者主观偏好的方案排序结果比较,验证模型和算法的有效性。%In order to effectively evaluate the advantages and disadvantages of uncertain traffic pollu-tion control program, an index system which influences the choice of programs was constructed, and a multi-attribute decision making model based on linguistic variables to describe their uncertainties was presented. The model considered each decision maker’s preference to different programs. The uncertainty of traffic pollution control programs and a problem that the multi-attribute decision-mak-ers cannot get the exact value in the evaluation process were effectively solved, so the traffic pollu-tion control decision-making can be more scientific and rational. Five traffic pollution emissions of a road assessment program were taken as an example to verify the validity of the model and algorithm. Results from the model proposed were compared to those from the models that had no subjective pref-erences of decision makers.

  2. 舰船总布置方案的直觉模糊多属性群决策模型%Intuitionistic fuzzy multiple attribute group decision making model for general arrangement of a ship

    Institute of Scientific and Technical Information of China (English)

    胡玉龙; 黄胜; 侯远杭; 王文全; 郭春雨

    2012-01-01

    In order to attain consistency during the decision-making process of a general arrangement scheme of a naval ship, repetitive negotiation and compromise among experts is always needed. An evaluation system of general arrange-, ment was presented from the perspective of facilitating for combat and use of warships. To overcome the massive amount of negotiation and compromise among experts in the decision-making process, an intuitionistic fuzzy multiple attribute group decision making model based on an adaptive consensus algorithm was proposed to repeatedly update the decision-making information of experts based on group decision making information, achieving an acceptable consensus between experts. The algorithm avoided repeatedly collecting the decision-making array by each expert, allowing it to boost the efficiency of the decision-making process. It can also be applied to areas in complex industrial design.%在舰船总布置方案决策问题中,为了得到总体一致的结论,往往需要专家经过反复的协商和妥协来实现,从有利于舰船作战使用的角度,提出了总布置方案评价的指标体系.为了克服决策过程中需要通过来自不同专业领域的专家反复协商来使专家决策信息达到可接受的一致性不仅耗时且可操作性差的问题,引入了基于自适应一致性算法的直觉模糊多属性群决策模型对设计方案进行优选评价.算法在参考群决策信息的基础上,对专家决策信息进行反复修正,使专家之间的决策信息达到可接受的一致性.算法较好地模拟了专家之间真实的谈判和妥协的决策过程,不需要专家对决策矩阵进行反复的修正,提高了决策的效率,为复杂工业设计方案决策提供了参考.

  3. 区间犹豫模糊三角相似度及其多属性群决策%Interval-valued hesitant fuzzy triangle similarity and its application in multi-attribute group decision making

    Institute of Scientific and Technical Information of China (English)

    金飞飞; 裴利丹; 陈华友; 周礼刚

    2015-01-01

    构建了区间犹豫模糊三角相似度公式,并且研究了区间犹豫模糊环境下属性权重信息完全未知的多属性群决策方法。首先基于正弦三角函数构造了区间犹豫模糊三角相似度公式,并证明其满足区间犹豫模糊相似度公理化定义的四个条件;接着给出了区间犹豫模糊交叉熵的公理性定义,同时研究了区间犹豫模糊相似度和区间犹豫模糊交叉熵的关系;最后基于区间犹豫模糊三角相似度,提出了在属性权重信息完全未知条件下的区间犹豫模糊多属性群决策方法,并用实例验证该方法的可行性和有效性。%Interval-valued hesitant fuzzy triangle similarity is constructed, and investigate the multi-attribute group decision making method with attribute weight information is completely unknown under the interval-valued hesitant fuzzy environ-ment. Based on the sine triangle function, the interval-valued hesitant fuzzy triangle similarity formula is developed, and it proves that the interval-valued hesitant fuzzy triangle similarity satisfies four axiomatic requirements of interval-valued hesitant fuzzy similarity. The axiomatic definition of cross-entropy for interval-valued hesitant fuzzy sets is presented, and the relationships between interval-valued hesitant fuzzy similarity measures and interval-valued hesitant fuzzy cross-entropy is studied. According to the interval-valued hesitant fuzzy triangle similarity, a new method for interval-valued hesitant fuzzy multi-attribute group decision making problems with completely unknown attribute weight information is proposed, and an illustrative example is given to demonstrate its practicality and effectiveness.

  4. A Research on College Students' Attributional Style and Their Career Decision-Making Difficulties%归因风格对大学生职业决策困难的影响研究

    Institute of Scientific and Technical Information of China (English)

    芦霞

    2011-01-01

    This study investigated and analyzed the characteristics of college students' career decision-making difficulties and its relation to different attributional style with data collected from college students.The results indicated as follows:On the whole,the level of college students' career decision-making difficulties is not very high;Students with characteristics,such as sex,grade,major,whether or not receiving job-hunting training have significant differences;Students with different attributional style have significant differences on dimensions of uncertainty,self-cognition,vocational goal,vocational self-exploration and social support.%对某高校大学生的职业决策困难状况以及归因风格对他们职业决策困难的影响进行了研究。结果表明:大学生职业决策困难的总体水平不是很高;大学生的职业决策困难程度呈现出性别、年级、专业、是否接受就业指导训练的群体差异;归因风格类型对职业决策困难的不确定性维度、自我认知维度、职业目标维度、职业自我探索维度和社会支持维度的影响差异显著。

  5. Air Defense Fire Distribution Based on NSGA-Ⅱ and Multi-Attribute Decision-Making Method%基于NSGA-Ⅱ和多属性决策的防空火力分配

    Institute of Scientific and Technical Information of China (English)

    唐奇; 杨新

    2011-01-01

    To solve the problem of air defense fire force distribution, NSGA-Ⅱ is used to obtain Pareto optimal solution set of the problem at first,then the Multi-Attribute Decision-Making Method is used to find the optimal solution by making comprehensive assessment of solutions.A three-objective optimization model is built by qualitatively depicting the properties with interval.Steps of NSGA-Ⅱ and Multi-Attribute Decision-Making Method are introduced.The optimal scheme of air defense fire force distribution is obtained in the application example.It verify the application value of the method is presented of air defense fire force distribution.%为了解决防空火力分配问题,首先运用NSGA-Ⅱ算法求出Pareto最优解集,然后运用多属性决策方法对Pareto最优解集中的解进行综合评估,并从中找出一个最优解.用区间数定性描述各属性,建立了防空火力分配的三目标优化模型.描述了NSGA-Ⅱ算法和多属性决策方法的运算步骤.在仿真算例中,得到了一个最佳防空火力分配方案,说明该方法对于防空火力分配问题有良好的应用价值.

  6. 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.

  7. FH-OWA Operator and Its Application in Fuzzy Multiple Attribute Decision Making%FH-OWA算子及其在模糊多属性决策中的应用

    Institute of Scientific and Technical Information of China (English)

    梁鑫; 裴道武

    2015-01-01

    现实中,绝大多数的决策是模糊决策,而决策结果很大程度上取决于聚合算子的选取。为了使信息聚合更加科学合理,研究了H-OWA算子(Heronian ordered weighted averaging operator)。鉴于H-OWA算子的优点和局限性,提出了基于三角模糊数的FH-OWA算子(fuzzy Heronian ordered weighted averaging operator),并研究了其幂等性、单调性、有界性及交替性。最后,将FH-OWA算子应用于模糊多属性决策中,并与原文献进行了比较和分析,结果表明FH-OWA算子在信息聚合时侧重所有决策者意见的“一致性”,而不是个别专家的权威性。%In reality, most of the decision making is fuzzy decision making, and the result depends largely on the selection of aggregation operators. In order to be more scientific and reasonable in the decision making process, this paper studies the Heronian ordered weighted averaging operator (H-OWA). In view of the advantages and limitations of H-OWA operator, this paper proposes a new fuzzy Heronian ordered weighted averaging operator (FH-OWA) based on triangle fuzzy numbers and proves its properties, such as commutativity, idempotency, boundedness and alternating. Finally, by applying the FH-OWA operator to a fuzzy multiple attribute decision making problem and compared with the original literature, the results show that the FH-OWA operator places strong emphasis on the“consistency”of all decision-makers’opinions rather than some individual experts’authority.

  8. k-visit Attribute Grammars

    DEFF Research Database (Denmark)

    Nielson, Hanne Riis; Skyum, S.

    1981-01-01

    It is shown that any well-defined attribute grammar is k-visit for some k. Furthermore, it is shown that given a well-defined grammar G and an integer k, it is decidable whether G is k-visit. Finally it is shown that the k-visit grammars specify a proper hierarchy with respect to translations...

  9. Beef Consumer Preferences in Chile: Importance of Quality Attribute Differentiators on the Purchase Decision Preferencias del Consumidor de Carne de Vacuno en Chile: Importancia de Atributos de Calidad Diferenciadores en la Decisión de Compra

    Directory of Open Access Journals (Sweden)

    Pablo Villalobos

    2010-03-01

    Full Text Available Agrifood markets worldwide have focused on searching for new quality attribute differentiators, which capture the attention of consumers and meet their needs. The purpose of this research was to determine the importance of a set of quality attribute differentiators associated with a beef cut on the choice behavior of the Chilean consumer. The evaluated differentiating characteristics were: price, origin, production method, and quality assurance. A total of 750 subjects were surveyed in the following cities: Talca, Rancagua, and Santiago. Conjoint analysis was carried out to estimate the impact of the assessed attributes on the purchase decision of the consumers polled. Findings point out that the quality attribute differentiators significantly influence consumer choice behavior, with price being the least important for the majority of consumers polled (21.07% relative importance for the whole sample. In this context, the quality assurance attribute is shown as the most relevant which guides the decision-making process of beef consumers (29.75% relative importance for the whole sample. Even though some limitations are shown within this study, it must be emphasized that the results follow similar trends already described in previous research carried out in other countries. These tendencies should be considered, therefore, to establish differentiation strategy tools when designing a marketing mix focused on the domestic market.Los mercados agroalimentarios a nivel mundial se han focalizado en la búsqueda de nuevos atributos de calidad diferenciadores que capten la atención de los consumidores y satisfagan sus necesidades. El propósito de esta investigación fue determinar la importancia que ejerce un conjunto de atributos de calidad diferenciadores asociados a la carne de vacuno, en la decisión de compra del consumidor chileno. Los atributos evaluados fueron: precio, origen del producto, sistema de producción y aseguramiento de la calidad. Un

  10. Defining Mathematical Giftedness

    Science.gov (United States)

    Parish, Linda

    2014-01-01

    This theoretical paper outlines the process of defining "mathematical giftedness" for a present study on how primary school teaching shapes the mindsets of children who are mathematically gifted. Mathematical giftedness is not a badge of honour or some special value attributed to a child who has achieved something exceptional.…

  11. Environmental friendly method for urban wastewater monitoring of micropollutants defined in the Directive 2013/39/EU and Decision 2015/495/EU.

    Science.gov (United States)

    Ribeiro, Ana R; Pedrosa, Marta; Moreira, Nuno F F; Pereira, Manuel F R; Silva, Adrián M T

    2015-10-30

    The fate and removal of organic micropollutants in the environment is a demanding issue evidenced by the recent European policy. This work presents an analytical method for the trace quantification of 37 micropollutants including Priority Substances (Directive 2013/39/EU), substances of the recent watch list (Decision 2015/495/EU) and contaminants of emerging concern: pesticides, multi-class pharmaceuticals and a metabolite, estrogens and one industrial compound. The analytical method was based on solid phase extraction (SPE) followed by ultra-high performance liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS), using eco-friendly solvents (ethanol and ultrapure water) both in the SPE and UHPLC, according to green analytical chemistry principles. Briefly, Oasis(®) HLB cartridges were used to preconcentrate 100mL of water samples and the reconstituted extracts were analyzed with a Kinetex™ column under reversed mode, the linear ranges extended to 200ngL(-1) (R(2)>0.99) for all the analytes. The method detection limits were between 0.04 and 2.26ngL(-1) and the method quantification limits were between 0.13 and 6.85ngL(-1). The identity of the compounds was confirmed using two MS/MS transitions and its ion ratios, according to Decision 2002/657/EC. The validated method was applied to wastewater treatment plant samples, assessing the concentration of micropollutants after secondary biological and tertiary UV treatments. Lab-scale photolysis and ozonation experiments were also performed with the secondary effluents, with ozonation showing the best performance for the removal of most of the determined micropollutants.

  12. The Research of Reliability of Trash E-mail Identifier Based on Decision Tree of Continuous Attributes%连续属性决策树所建立的垃圾邮件识别器的稳定性研究

    Institute of Scientific and Technical Information of China (English)

    王星; 谢邦昌

    2005-01-01

    Avoiding spare mial is one of the most critical problem in Internet technology, finding the most important attribute or the attribute combination to identify which email is normal and which email is spam mail, is the bottleneck of discriminate of the spam. Recent years, decision tress is popular used for excellent with good expression and capable to output rules, and then becomes the core technique in predicting spam mail. However, many famous decision trees such as CA .5 and CART is not very robust,that make the output is not stable which distrubing the construction of the identifying classification. In this paper, we studied the robust of CART algorithm, point out the robust problem when using the decision tree classifier on identifying Spam from normal email with interval attribute, then we try to using BAGGING algorithm to gain more robust model, an at the same time increase the performance of the initial models.

  13. Heterogeneous Evidence Chains Based Fusion Reasoning for Multi-attribute Group Decision Making%实体异构性下证据链融合推理的多属性群决策

    Institute of Scientific and Technical Information of China (English)

    沈江; 余海燕; 徐曼

    2015-01-01

    针对多属性群决策中可解释性证据融合推理的实体异构性问题,给出了一个实体异构性下证据链融合推理的多属性群决策方法。基于证据推理理论,引入证据链关联的概念,从多数据表提供的数据矩阵中获取可区分的近邻证据集,推导了各数据表的相似度矩阵,并构建半正定矩阵的二次优化模型,共享群决策专家的经验知识。使用Dempster 正交规则,论证了异构实体之间可解释性推理中可信度融合的合理性,并使用证据融合规则集成各个数据表的近邻证据中获得的可信度,验证了调和多源异构数据中不一致信息的有效性。通过具有实体异构性的心脏病多决策数据诊断实例说明了方法的可行性与合理性。%In multi-attribute group decision making, the heterogeneity of entities causes a lot difficulties for the inter-pretable evidence fusion reasoning process, thus a novel heterogeneous evidential chains based fusion reasoning (Hefur) method is proposed for multi-attribute group decision making. Based on the theory of evidential reasoning, the concept of evidential chain association is introduced to obtain the nearest neighbor set of distinct evidences from the data matrix of multiple decision tables. Similarity matrices are derived from data tables, and positive semi-definite matrix quadratic optimization model is built to share, sharing the experience knowledge of the group decision-making experts. Using the Dempster’s quadrature rule, the rationality of the belief integrating is verified in the interpretable reasoning process with heterogeneous entities, and the combined belief is obtained from nearest neighbor evidences for each data table using the evidence fusion rules. Moreover, the validity is verified for dealing with the harmonic information inconsistence of the multi-heterogeneous data sources. Numerical experiments on the heart disease diagnosis with entity

  14. 基于多属性局内决策的应急预案启动模型%The Activating Model of Contingency Plans Based on Multi-attribute Online Decision Making

    Institute of Scientific and Technical Information of China (English)

    于辉; 付成边

    2014-01-01

    通过对突发事件造成损失的连续性扩展和结束时间部分信息的扩展,基于多属性决策方法和集结损失函数,研究管理者面对突发事件应该何时启动应急预案的问题。在没有突发事件损失函数信息的条件下,利用局内决策理论与方法构建了决策者何时启动应急预案的启动模型,并利用竞争比说明了该方案的有效性。在此基础上,通过数值分析验证了启动方案的有效性。%Through the continuous extension of the loss caused by the disruptions and the extension of the partial in -formation of end time , the paper explores when managers should activate contingency plans based on the multi -attrib-ute decision making method and concentration of loss function .In the absence of information of loss function about unexpected events , the author tries toconstruct anactivating model by taking the theory and methods of online decision making.The author also uses the competitive ratio to prove the effectiveness of the model .On this base,further nu-merical analysis shows the effectiveness of contingency plans .

  15. Fuzzy Multi-attribute Auction Model Used for Merger and Acquisition Decisions of State-owned Enterprises under Incomplete Preference Information%不完全偏好信息下国有企业并购多属性拍卖的模糊决策

    Institute of Scientific and Technical Information of China (English)

    秦全德; 王晓晖; 李荣钧

    2012-01-01

    In the past twenty years, the auction theory has grown into one of the most prominent applied economics theories. Auction is an effective way to optimize the allocation of market through competitive bidding in order to produce the market equilibrium price. The early auction theory often studies the single-attribute auction, in which price is the only factor considered. Many researchers suggest that multi-attribute auction should be adopted because of its feasibility in the purchasing economics theory. How to design proper mechanisms and select the winner are two critical problems in the multi-attribute auction. Mergers and acquisitions ( M&A) of state-owned enterprises in China are mostly done by the government through negotiation and consultation, which may not only increase the rent-seeking behavior, resulting in the loss of state assets, but also lead to inefficiency of resource allocation. It has demonstrated that auction in the M&A of state-owned enterprises can effectively enhance the effectiveness of asset allocation and reduce the loss of state-owned assets. From the perspective of the social overall effectiveness, the method of multi-attribute auctions is more effective than single-attribute auctions. Based on the analysis of the outstanding questions in M&A of state-owned enterprises, this article develops the multi-attribute auction and a set of decision-making attributes for state-owned enterprises. In this attribute set, some quantitative and qualitative factors have to be considered. As the extension of traditional fuzzy set, vague sets are characterized by a truth-membership function and a false-membership function, which makes it more flexible and practical than traditional fuzzy sets. As for this reason, vague sets method is used to describe the fuzzy information for state-owned enterprises. We define a new distance measure of vague sets, which integrate the merits of Hamming distance and Hausdorff distance, and prove that the measure meets the

  16. Improved method to multiple attribute decision making for Vague sets with prefereace information%对方案有偏好的Vague集多属性决策方法的改进

    Institute of Scientific and Technical Information of China (English)

    要瑞璞; 沈惠璋; 崔国梅

    2011-01-01

    针对属性权重未知且对方案有偏好的Vague集多属性决策问题,应用直觉模糊集的理论方法,建立了基于最小方差的多目标最优化模型.通过求解该模型,获得各属性的权重.此模型弥补了要瑞璞提出的线性规划模型求解属性权重为负的不足和缺陷.通过计算各方案综合值之间比较的可能度,给出了相应决策分析方法.进行了实例分析,说明了该方法的实用性和有效性.%With respect to the uncertain multicriteria decision-making problems with preference information on alternatives,using the theory of intuitionistic fuzzy sets, the optimization model based on the minimizing deviation is established. By solving the model,the attribute weights are obtained. It has overcome the defect of linear program model. By calculating the possibility degree of synthesize value of every alternative, a new method is presented. Finally, an example is provided. It has been shown that the method developed in this paper is rational, feasible and effective.

  17. Attribute reduction based on variable precision rough set in incomplete decision table%基于变精度粗糙集的不完备决策表属性约简

    Institute of Scientific and Technical Information of China (English)

    林春杰; 张瑞玲; 韩晓琴

    2013-01-01

    In view of the limitations of the attribute reduction algorithm based on variable precision rough set in tolerance rela-tion, the judgment theorems and discernibility matrixes with respect to β upper(lower)distribution reductions are presented.The method for β upper(lower)distribution reduction in incomplete decision table is also presented. At last, the experiment demonstrates the effectiveness of the proposed method.%针对现有的在相容关系下基于变精度粗糙集约简算法的局限,给出了β上(下)分布约简的判定方法和改进的β上(下)分布可辨识矩阵定义,并给出求解基于变精度粗糙集的不完备决策表约简算法;最后通过实例验证了算法的有效性。

  18. 基于置信规则库推理的多属性双边匹配决策方法%Belief rule base inference methodology for two-sided matching decision with multi-attribute

    Institute of Scientific and Technical Information of China (English)

    方志坚; 杨隆浩; 傅仰耿; 陈建华

    2016-01-01

    This thesis presents a tentative study on a new two-sided matching approach,which is proposed to solve the two-sided matching problem with uncertain information and multiple attributes.The multi-attributes matching decision making(MAMDM)problem is one of the most important key points in the two-sided matching study,which has evoked great attention for the scholars in recent years.A belief rule-base inference methodology using the evidence reasoning approach(RIMER)has been introduced in this thesis to solve the problem of MAMDM.At the beginning of this thesis,the authors explain the reason why they choose to use belief degree.The current research on the problem of MAMDM is mainly restricted to the study of a kind of two-sided matching,whose evaluation information is linguistic values or interval values.But there exists a lack of study in belief degree as evaluation value. As belief degree can be used to deal with different kinds of uncertain and incomplete information,using it as evaluation value may trigger a new breakthrough in the study of MAMDM.Through the analysis of simulation ex-periments datas and the application of RIMER,belief degrees evaluation information is converted into different levels of confidence information.Then a 0-1 programming model is built by making use of different levels of confidence information to obtain a final matching scheme.It is also pointed out in the thesis that an output error may be caused when BRB(belief rule-base)input is higher than threshold value.To solve this problem,the authors propose that the input value can be incorporated into the uncertainty by the adoption of cutting method.If cutting method is not suitable,linear mapping method can be applied to reduce the influence of the results.The case study analysis shows that it is feasible and effective to adopt the new proposed approach to solve the problem of multi-attributes matching decision making.%针对具有不确定信息的多属性双边匹配决策问题,引

  19. Verifying Credence Attributes in Livestock Production

    OpenAIRE

    Olynk, Nicole J.; Tonsor, Glynn T.; Wolf, Christopher A.

    2010-01-01

    Livestock producers can respond to increasing consumer demand for certain production process attributes by providing verifiable information on the practices used. Consumer willingness to pay data were used to inform producer decision-making regarding selection of verification entities for four key production process attributes in the production of pork chops and milk. The potential for informing farm-level decision-making with information about consumer demand for product and production proce...

  20. Define Project

    DEFF Research Database (Denmark)

    Munk-Madsen, Andreas

    2005-01-01

    "Project" is a key concept in IS management. The word is frequently used in textbooks and standards. Yet we seldom find a precise definition of the concept. This paper discusses how to define the concept of a project. The proposed definition covers both heavily formalized projects and informally...... organized, agile projects. Based on the proposed definition popular existing definitions are discussed....

  1. Multi-attribute decision making method based on improved similarity measure of intuitionistic fuzzy rough sets%基于直觉模糊粗糙集相似度的多属性决策方法

    Institute of Scientific and Technical Information of China (English)

    范成礼; 邢清华; 邹志刚; 范学渊

    2014-01-01

    将直觉模糊粗糙集应用于多属性决策问题,提出了基于改进的直觉模糊粗糙集相似度的多属性决策方法。针对现有的直觉模糊粗糙集相似度忽略犹豫度而造成度量不精确的问题,提出了一种改进的直觉模糊粗糙集相似性度量方法,并揭示其若干重要性质。在此基础上,将属性值用直觉模糊粗糙集表示,并通过各个方案与直觉模糊粗糙集正、负理想方案的相似度比较,实现决策方案排序。数值实例表明了该方法的可行性和有效性,其在态势评估、目标识别等信息融合领域有良好的应用前景。%Intuitionistic Fuzzy Rough Sets(IFRS) are applied to the problems of Multi-Attribute Decision Making (MADM), and the method of MADM base on the improved similarity measure of IFRS is presented. Firstly, the im-proved similarity measure of IFRS is proposed which conquers the question of accurate degree of similarity measure by adding the hesitancy degree, and several important characters of it are revealed. Furthermore, the new method compares the alternatives with positive and negative ideal solution to realize alternative ranking, whose attribute values are consid-ered as IFRS. At last, the practical example shows the feasibility and effectiveness of the proposed method, which has the preferable application foreground in information fusion field, such as situation assessment and target recognition.

  2. The Relationship Between Economic Confidence and Career Decision Making Self-efficacy of College Students: The Moderator Effects of Attribution and Proactive Personality%大学生的经济信心与职业决策自我效能的关系——归因和主动性人格的调节作用

    Institute of Scientific and Technical Information of China (English)

    邝磊; 郑雯雯; 林崇德; 杨萌; 刘力

    2011-01-01

    The global financial crisis which broke out in 2008 has landed the world economy in a difficult situation. Undoubtedly, the employment of Chinese college students has also been influenced by the ongoing crisis. In this time of hardship, confidence is regarded as an invaluable asset to face the challenge. The aim of the present study was to investigate the relationship between college students' economic confidence and their self-efficacy to be employed, which was operationally defined as career decision making self-efficacy (CDMSE) in the study, to examine the moderating roles of locus of control and proactive personality between the two, and thereby, toidentify the psychological processes underlying self-efficacy.A survey was administered to a cluster sample of 513 college students to explore the associations between economic confidence, career decision making self-efficacy (CDMSE), locus of control and proactive personality. Hierarchical regression analyses were processed to explore the predicting role of economic confidence on CDMSE as well as to examine the moderating roles of locus of control and proactive personality. The results showed that after controlling for the effects of school, gender and location of family, economic confidence displayed a main effect on CDMSE {fi= 0.28, p=0.49). Additionally, when both moderators were included in the same model, the proactive personality showed a consistent strong moderating effect on the relationship between economic confidence and CDMSE while locus of control had no significant effect. In other words, when predicting the association between economic confidence and CDMSE, proactive personality was more important than attribution style.The theoretical and practical implications of the findingsfrom the study were discussed. It was argued that findings enriched the theory of career decision making self-efficacy by confirming the moderating roles of attribution style and proactivepersonality in the relationship between

  3. Abstract Interpretation Using Attribute Grammar

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1990-01-01

    This paper deals with the correctness proofs of attribute grammars using methods from abstract interpretation. The technique will be described by defining a live-variable analysis for a small flow-chart language and proving it correct with respect to a continuation style semantics. The proof...

  4. 一种混合集结算子及其在多属性决策中的应用%Hybrid aggregation operator and its application to multiple attribute decision making problems

    Institute of Scientific and Technical Information of China (English)

    徐泽水; 达庆利

    2003-01-01

    结合加性加权平均(AWM)算子和有序加权平均(OWA)算子的特点, 提出了一种集结决策信息的混合集结(HA)算子, 并提出了一种基于混合集结(HA)算子的多属性决策方法. 理论分析和数值结果表明: 混合集结(HA)算子同时推广了加性加权平均(AWM)算子和有序加权平均(OWA)算子, 它不仅能反映所给数据自身的重要性程度, 而且还体现了数据所在位置的重要性程度. 因此, 混合集结(HA) 算子在实际应用中能更好地反映现实情况. 最后进行了实例分析.%By combining the advantages of the additive weighted mean (AWM) operator and the ordered weighted averaging (OWA) operator, this paper first presents a hybrid operator for aggregating data information, and then proposes a hybrid aggregation (HA) operator-based method for multiple attribute decision making (MADM) problems. The theoretical analyses and the numerical results show that the HA operator generalizes both the AWM and OWA operators, and reflects the importance of both the given argument and the ordered position of the argument. Thus, the HA operator can reflect better real situations in practical applications. Finally, an illustrative example is given.

  5. 运用时序多指标决策的专家库动态优化%Dynamic Optimization of Expert-Base Based on Time Series Multi-Attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    李佳瑾; 郭鹏

    2011-01-01

    针对同行评议在专家评审方面的局限性,指出了对专家工作业绩进行静态评价的缺陷,提出了对专家的工作业绩进行实时追踪的思想,应用时序多指标决策方法并在选定所需的"时间度"的基础上,从业绩指标的好坏程度和业绩指标的变化情况两个角度,对专家业绩进行动态评价,进而达到对专家库进行动态优化的目的.%Peer review is a widely recognized approach. It is an expert review process and the performance is greatly dependent on the selection of experts that is done by using an expert-base. The information in an expert-base is often obtained by statically evaluating the experts' performance, but not dynamically updated. In this paper, the drawbacks are analyzed for such a review process. Based on the analysis, to solve this problem, we propose to dynamically update the expert-base by tracking their real-time performances. With time series multi-attribute decision making, dynamic experts'work performance evaluation is presented by choosing the appropriate time scale. Thus, the expert-base can be dynamically updated based on not only the static indexes but also their changes. In other words, the expert-base is dynamically optimized.

  6. 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.

  7. Use of multiple attributes decision-making Technique for Order Preference by Similarity to Ideal Solution (TOPSIS for Ghare-Gheshlagh calcite in determination of optimum geochemical sampling sites

    Directory of Open Access Journals (Sweden)

    Mansour Rezaei Azizi

    2015-04-01

    for green, white and pink calcites were varied 0.087, 0.247 and 0.997 respectively. The low amounts of Eu anomaly for green and white calcites attributed to low rock/fluid ratio (Nesbitt et al., 1990 and relatively more pH value (Cheng et al., 2013, however, increasing the Eu anomaly may be due to high rock/fluid ratio and less pH value. Ce anomalies are 0.0241, 0.0113 and 0.0131 in pink, white and green calcites respectively. The most negative Ce anomaly values show that calcite have precipitated under reduction conditions (Nesbitt et al., 1990. Discussion Recently, multiple attributes decision-making techniques help scientist to solve decision-making problems related to various controlling factors (Zhijun et al., 2013. One of these techniques is a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS which is a quantitative weighted method (Momenei 2006. The identified criteria are CaO abundant in solution (C1, Eu anomaly (C2, Ce anomaly (C3, Sr abundant (C4 and volume (C5. The Index-Rock matrix also includes A1, A2 and A3 alternatives; as pink, green and white calcite respectively. The weighted normalized decision matrix can be calculated by multiplying the normalized evaluation matrix with its associated weight to obtain the result. The result show that Eu anomaly, volume, Sr abundant and Ce anomaly in order have higher role to investigate the geochemical study of area. Calculation of the relative closeness to the ideal solution (Cl * for pink, green and white calcites are 0.837, 0.445 and 0.157 respectively. It can be deduced that the most preferable calcite to be sampled for investigating geochemically are pink and green calcites. References Cheng, D.L., Jiang-haob, L., Shou-pengc, Z., Lianga, L., Zhao-bina, Y., Guo-lina, G. and Tinga, L., 2013. Geochemical characteristics of calcite and dolomite in sandstone of Dongying Sinking, Shandong Province, China. Procedia Earth and Planetary Science, 7(4: 504 – 507. Eftekharnezhad, J., 1973

  8. 基于聚类的多属性群决策专家权重确定方法%A Method for Determining the Experts’ Weights of Multi-Attribute Group Decision-Making Based on Clustering Analysis

    Institute of Scientific and Technical Information of China (English)

    何立华; 王栎绮; 张连营

    2014-01-01

    对于多属性群决策中专家权重确定的问题,本文提出了基于聚类的专家权重确定方法,将专家权重分为类别间权重和类别内权重,对专家聚类步骤和类别间权重的计算方法进行了改进。通过专家给出的判断矩阵构建相容度矩阵,利用系统聚类原理,对相容度矩阵进行聚类,得到最大相容度谱系图。通过最大相容度间的距离和给定阈值的比较,对专家进行恰当分类,从而避免了根据现有研究步骤只能将专家分为两类的不足。此外,在确定类别间权重时,除继续对类容量较大的类赋予较大的类别间权重系数外,还引入专家判断矩阵的属性权重一致性来反映类别间的差异,从而有效避免了当某几类专家中含有相等数目专家时,赋予这几类专家相同类别间权重系数的问题。所提方法结构清晰、计算简便,并使得专家权重计算结果更为合理准确。最后运用一个算例对比验证了该方法的可行性和有效性。%An experts’ weight determining method based on the experts ’ weights clustering analysis is proposed to determine the experts’ weights of multi-attribute group decision-making.The experts’ weight is divided into the weights between categories and within category .The steps of experts ’ clustering and the calculation method of the weights between categories are improved .The clustering pedigree chart of the maximum compatibility de-gree is got by building the expert judgment compatibility matrix according to the expert judgment matrix , making use of the system clustering principle to cluster the compatibility degree matrix .The experts are classified proper-ly according to the comparison of the distance between the maximum compatibility degree and the given threshold value, which overcomes the shortcoming of only clustering the experts into two categories in existing literatures . In addition, while determining the

  9. Web Service Composition Optimization Method Based on QoS Multi-attribute Decision Making%基于QoS多属性决策的Web服务组合优化方法

    Institute of Scientific and Technical Information of China (English)

    冯艳; 陈富赞

    2015-01-01

    从海量候选服务组合计划中选择具有最优/满意服务质量( QoS)的计划,即基于QoS的Web服务组合,是面向服务计算的难题之一。为此,将该问题建模为多属性决策问题,同时针对传统多属性决策方法难以处理海量搜索空间的问题,提出一种结合折中比例法和遗传算法的新型智能进化算法( GACRM )。 GACRM结合了折中比例法的方案排序优势和遗传算法高效的全局搜索能力,能够从海量搜索空间中快速找到全局近似最优解。实验结果表明,该算法不仅能够高效地产生与折中比例法接近的最优方案排序,且在解决大规模Web服务组合问题上具有良好的可伸缩性。%The problem of Quality of Service ( QoS)-based Web Service Composition ( QWSC), i. e. , selecting an optimal/satisfactory Service Composition Plan( SCP) from numerous candidate plans on the basis of QoS properties,is the most critical issue in the service-oriented computing. In this paper,the problem of QWSC is formulated as a Multi-Attribute Decision Making ( MADM ) representation. Furthermore, an intelligent evolutionary algorithm:Genetic Algorithm based Compromise Ratio Method ( GACRM ) is developed to solve the MADM problem. Combining with the advantage of Compromise Ratio Method( CRM) in terms of ranking alternatives,together with the superiority of Genetic Algorithm( GA) in terms of global search,GACRM is capable of finding an approximate optimal solution from a massive search space. Experimental result shows that GACRM is highly efficient and scalable for large-scale QWSC problems.

  10. 基于二元语义多属性群决策的投影法%Project Method for Multiple Attribute Group Decision Making in Two-tuple linguistic Setting

    Institute of Scientific and Technical Information of China (English)

    卫贵武

    2009-01-01

    针对解决具有语言评价信息的多属性群决策问题,提出了一种基于二元语义信息处理的群决策方法.该方法采用近年来最新发展的二元语义概念对语言评价信息进行处理和运算,并依据传统投影分析方法的基本思想,通过计算备选方案对正理想方案和负理想方案的投影值,进而计算备选方案对正理想方案相对贴近度,最终确定最优方案.该方法具有对语言信息处理较为精确的特点,避免了以往采用的语言信息处理方法所带来的信息扭曲和损失.最后给出了实例分析.结果表明方法简单,有效和易于计算.%A new method is proposed to solve multiple attribute group decision making problems with linguistic assessment information. In the method, the two-tuple linguistic representation model developed in recent years is used to aggregate the linguistic assessment information. According to the traditional ideas of project method, the optimal alternative( s) is determined by calculating the project values of every alternative and positive ideal solution and negative ideal solution. It is based on the concept that the optimal alternative should have the largest degree of relative closeness from positive ideal solution. The method has exact characteristic in linguistic information processing. It avoids information distortion and loss which occur formerly in the linguistic information processing. Finally, a numerical example is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate.

  11. Defining excellence.

    Science.gov (United States)

    Mehl, B

    1993-05-01

    Excellence in the pharmacy profession, particularly pharmacy management, is defined. Several factors have a significant effect on the ability to reach a given level of excellence. The first is the economic and political climate in which pharmacists practice. Stricter controls, reduced resources, and the velocity of change all necessitate nurturing of values and a work ethic to maintain excellence. Excellence must be measured by the services provided with regard to the resources available; thus, the ability to achieve excellence is a true test of leadership and innovation. Excellence is also time dependent, and today's innovation becomes tomorrow's standard. Programs that raise the level of patient care, not those that aggrandize the profession, are the most important. In addition, basic services must be practiced at a level of excellence. Quality assessment is a way to improve care and bring medical treatment to a higher plane of excellence. For such assessment to be effective and not punitive, the philosophy of the program must be known, and the goal must be clear. Excellence in practice is dependent on factors such as political and social norms, standards of practice, available resources; perceptions, time, the motivation to progress to a higher level, and the continuous innovation required to reshape the profession to meet the needs of society.

  12. A compensation index for multiattribute decision strategies.

    Science.gov (United States)

    Koele, P; Westenberg, M R

    1995-09-01

    In multiattribute decision problems, the subject has to evaluate a number of alternatives with given values on a number of attributes, in order to arrive at some conclusion about the attractiveness or utility of these alternatives. The information processing procedure leading to a conclusion is called adecision strategy, and one of the main research topics in multiattribute decision research has been the extent to which these strategies follow compensatory principles. Judges are said to follow compensatory strategies when low values on some attributes are compensated for by high values on other attributes. In process tracing studies using the information board technique, descriptions of decision strategies are usually based on three indices of the information search process:variability of search,search pattern (Payne, 1976), anddepth of search. Variability of search, defined as the standard deviation of the proportion of information searched per alternative, is considered to give an indication of the degree of compensation of a decision strategy, compensation being smaller as variability increases. In this article, we propose an alternative way for establishing the degree of compensation of decision strategies in information board studies. We argue that the degree of compensation depends on both variability of searchand depth of search (the proportion of information searched), and that a valid compensation index has to be a multiplicative function of these two indices.

  13. 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…

  14. Project Decision Chain

    DEFF Research Database (Denmark)

    Rolstadås, Asbjørn; Pinto, Jeffrey K.; Falster, Peter

    2015-01-01

    To add value to project performance and help obtain project success, a new framework for decision making in projects is defined. It introduces the project decision chain inspired by the supply chain thinking in the manufacturing sector and uses three types of decisions: authorization, selection...

  15. Generation and Interpretation of Temporal Decision Rules

    CERN Document Server

    Karimi, Kamran

    2010-01-01

    We present a solution to the problem of understanding a system that produces a sequence of temporally ordered observations. Our solution is based on generating and interpreting a set of temporal decision rules. A temporal decision rule is a decision rule that can be used to predict or retrodict the value of a decision attribute, using condition attributes that are observed at times other than the decision attribute's time of observation. A rule set, consisting of a set of temporal decision rules with the same decision attribute, can be interpreted by our Temporal Investigation Method for Enregistered Record Sequences (TIMERS) to signify an instantaneous, an acausal or a possibly causal relationship between the condition attributes and the decision attribute. We show the effectiveness of our method, by describing a number of experiments with both synthetic and real temporal data.

  16. Key attributes of expert NRL referees.

    Science.gov (United States)

    Morris, Gavin; O'Connor, Donna

    2017-05-01

    Experiential knowledge of elite National Rugby League (NRL) referees was investigated to determine the key attributes contributing to expert officiating performance. Fourteen current first-grade NRL referees were asked to identify the key attributes they believed contributed to their expert refereeing performance. The modified Delphi method involved a 3-round process of an initial semi-structured interview followed by 2 questionnaires to reach consensus of opinion. The data revealed 25 attributes that were rated as most important that underpin expert NRL refereeing performance. Results illustrate the significance of the cognitive category, with the top 6 ranked attributes all cognitive skills. Of these, the referees ranked decision-making accuracy as the most important attribute, followed by reading the game, communication, game understanding, game management and knowledge of the rules. Player rapport, positioning and teamwork were the top ranked game skill attributes underpinning performance excellence. Expert referees also highlighted a number of psychological attributes (e.g., concentration, composure and mental toughness) that were significant to performance. There were only 2 physiological attributes (fitness, aerobic endurance) that were identified as significant to elite officiating performance. In summary, expert consensus was attained which successfully provided a hierarchy of the most significant attributes of expert NRL refereeing performance.

  17. 多属性决策及D-S证据理论在底板突水决策中的应用%APPLICATION OF MULTI-ATTRIBUTE DECISION AND D-S EVIDENCE THEORY TO WATER-INRUSH DECISION OF FLOOR IN MINING

    Institute of Scientific and Technical Information of China (English)

    韩进; 施龙青; 翟培合; 李术才; 于小鸽

    2009-01-01

    针对煤矿底板突水包含很多不确定因素和时空随机性的特点,探索多属性决策理论在底板突水预测中应用研究.采用案例统计与专家分析相结合的方法,赋予影响底板突水各种因素的权重,建立突水概率指数法的融合规则,提出突水概率指数法预测采场工作面底板突水的新方法.在获得底板突水概率指数的基础上,基于D-S证据理论,建立由突水、临界、不突水、不确定组成的识别框架,构建以富水性指数、构造指数、隔水层指数、水压指数、矿压指数为证据体的突水融合决策模型.通过在肥城煤田实例应用,说明经证据体的多次融合,能够提高突水概率的可信度,降低不确定性,证明基于多属性决策和D-S证据理论建立的工作面底板突水两级融合决策模型的有效性和可行性.%In view of characteristics of coal mine water-inrush from floor containing a lot of uncertain factors and time-location randomness,the multi-attribute decision-making theory in the prediction of water-inrush from floor applied research is explored. With case statistics and expert analysis,the weights are governed to the factors which affect water-inrush from floor. The fusion rule is established for water-inrush probability ratio,and a new method of water-inrush probability ratio is put forward for water-inrush from floor. It provides a technique for decision- making water-inrush from floor with water-inrush probability ratio. Based on the D-S evidence theory,the frame of discernment including water-inrush,critical condition,no water-inrush and uncertain information,is proposed and the water-inrush integration decision-making model is established considering aquifer water-bearing ratio,structure ratio,water-resisting layer thickness ratio,underground water pressure ratio and underground pressure ratio as evidences. With the practical application examples in Feicheng coal field,it shows that the degree of

  18. Attributing illness to food

    DEFF Research Database (Denmark)

    Batz, M. B.; Doyle, M. P.; Morris, J. G.

    2005-01-01

    Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other s...... of a risk-based approach to improving food safety.......Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other...... source responsible for illness. A wide variety of food attribution approaches and data are used around the world including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others. The Food Safety Research Consortium sponsored...

  19. A systematic review of ecological attributes that confer resilience to climate change in environmental restoration.

    Science.gov (United States)

    Timpane-Padgham, Britta L; Beechie, Tim; Klinger, Terrie

    2017-01-01

    Ecological restoration is widely practiced as a means of rehabilitating ecosystems and habitats that have been degraded or impaired through human use or other causes. Restoration practices now are confronted by climate change, which has the potential to influence long-term restoration outcomes. Concepts and attributes from the resilience literature can help improve restoration and monitoring efforts under changing climate conditions. We systematically examined the published literature on ecological resilience to identify biological, chemical, and physical attributes that confer resilience to climate change. We identified 45 attributes explicitly related to climate change and classified them as individual- (9), population- (6), community- (7), ecosystem- (7), or process-level attributes (16). Individual studies defined resilience as resistance to change or recovery from disturbance, and only a few studies explicitly included both concepts in their definition of resilience. We found that individual and population attributes generally are suited to species- or habitat-specific restoration actions and applicable at the population scale. Community attributes are better suited to habitat-specific restoration at the site scale, or system-wide restoration at the ecosystem scale. Ecosystem and process attributes vary considerably in their type and applicability. We summarize these relationships in a decision support table and provide three example applications to illustrate how these classifications can be used to prioritize climate change resilience attributes for specific restoration actions. We suggest that (1) including resilience as an explicit planning objective could increase the success of restoration projects, (2) considering the ecological context and focal scale of a restoration action is essential in choosing appropriate resilience attributes, and (3) certain ecological attributes, such as diversity and connectivity, are more commonly considered to confer

  20. Attributing illness to food

    DEFF Research Database (Denmark)

    Batz, M. B.; Doyle, M. P.; Morris, J. G.

    2005-01-01

    Identification and prioritization of effective food safety interventions require an understanding of the relationship between food and pathogen from farm to consumption. Critical to this cause is food attribution, the capacity to attribute cases of foodborne disease to the food vehicle or other...... of a risk-based approach to improving food safety....... source responsible for illness. A wide variety of food attribution approaches and data are used around the world including the analysis of outbreak data, case-control studies, microbial subtyping and source tracking methods, and expert judgment, among others. The Food Safety Research Consortium sponsored...

  1. Conceptual and Methodological Issues in Evaluating Multidimensional Visualizations for Decision Support.

    Science.gov (United States)

    Dimara, Evanthia; Bezerianos, Anastasia; Dragicevic, Pierre

    2017-08-29

    We explore how to rigorously evaluate multidimensional visualizations for their ability to support decision making. We first define multi-attribute choice tasks, a type of decision task commonly performed with such visualizations. We then identify which of the existing multidimensional visualizations are compatible with such tasks, and set out to evaluate three elementary visualizations: parallel coordinates, scatterplot matrices and tabular visualizations. Our method consists in first giving participants low-level analytic tasks, in order to ensure that they properly understood the visualizations and their interactions. Participants are then given multi-attribute choice tasks consisting of choosing holiday packages. We assess decision support through multiple objective and subjective metrics, including a decision accuracy metric based on the consistency between the choice made and self-reported preferences for attributes. We found the three visualizations to be comparable on most metrics, with a slight advantage for tabular visualizations. In particular, tabular visualizations allow participants to reach decisions faster. Thus, although decision time is typically not central in assessing decision support, it can be used as a tie-breaker when visualizations achieve similar decision accuracy. Our results also suggest that indirect methods for assessing choice confidence may allow to better distinguish between visualizations than direct ones. We finally discuss the limitations of our methods and directions for future work, such as the need for more sensitive metrics of decision support.

  2. Reconciling justice and attribution research to advance climate policy

    Science.gov (United States)

    Huggel, Christian; Wallimann-Helmer, Ivo; Stone, Dáithí; Cramer, Wolfgang

    2016-10-01

    The Paris Climate Agreement is an important step for international climate policy, but the compensation for negative effects of climate change based on clear assignment of responsibilities remains highly debated. From both a policy and a science perspective, it is unclear how responsibilities should be defined and on what evidence base. We explore different normative principles of justice relevant to climate change impacts, and ask how different forms of causal evidence of impacts drawn from detection and attribution research could inform policy approaches in accordance with justice considerations. We reveal a procedural injustice based on the imbalance of observations and knowledge of impacts between developed and developing countries. This type of injustice needs to be considered in policy negotiations and decisions, and efforts strengthened to reduce it.

  3. Attempting Measurement of Psychological Attributes

    Directory of Open Access Journals (Sweden)

    Thomas eSalzberger

    2013-02-01

    Full Text Available Measures of psychological attributes abound in the social sciences as much as measures of physical properties do in the physical sciences. However, there are crucial differences between the scientific underpinning of measurement. While measurement in the physical sciences is supported by empirical evidence that demonstrates the quantitative nature of the property assessed, measurement in the social sciences is, in large part, made possible only by a vague, discretionary definition of measurement that places hardly any restrictions on empirical data. Traditional psychometric analyses fail to address the requirements of measurement as defined more rigorously in the physical sciences. The construct definitions do not allow for testable predications; and content validity becomes a matter of judgment. In order to improve measurement of psychological attributes, it is suggested to, first, readopt the definition of measurement in the physical sciences; second, to devise an elaborate theory of the construct to be measured that includes the hypothesis of a quantitative attribute; and third, to test the data for the structure implied by the hypothesis of quantity as well as predictions derived from the theory of the construct.

  4. Multi-Attribute Vickrey Auctions when Utility Functions are Unknown

    NARCIS (Netherlands)

    Máhr, T.; De Weerdt, M.M.

    2006-01-01

    Multi-attribute auctions allow negotiations over multiple attributes besides price. For example in task allocation, service providers can define their service by means of multiple attributes, such as quality of service, deadlines, or delay penalties. Auction mechanisms assume that the players have e

  5. 基于威布尔比例故障率模型的装备检测间隔期多属性模糊决策方法%Multi-attribute Fuzzy Decision-making Method of Test Interval Based on Weibull Proportional Hazards Model

    Institute of Scientific and Technical Information of China (English)

    张仕新; 刘义乐; 陈杰翔

    2012-01-01

    Based on the research of Weibull proportional hazards model,the test interval is calculated which takes the acceptable failure rate as constraints.Because the utilization of equipments is affected by multiple attributes such as test expense,failure risk and operational availability,stop duration and other factors,a weighted project compromise method is used to establish a multi-attribute test interval decision-making mode to realize the optimal decision-making of state test interval under multi-factor conditions.Finally,the applicability of the model is validated with the analysis of examples.%在对威布尔比例故障率模型进行研究的基础上,以可接受的故障风险为约束,计算了装备的检测间隔期。由于装备使用受到故障风险、检测费用、可用度及停机时间等多属性影响,运用基于加权投影折中法建立了模糊多属性状态检测周期决策模型,实现了多因素条件下状态检测间隔期的综合优化决策。最后,通过实例分析验证了该模型的适用性。

  6. Attribution of irreversible loss to anthropogenic climate change

    Science.gov (United States)

    Huggel, Christian; Bresch, David; Hansen, Gerrit; James, Rachel; Mechler, Reinhard; Stone, Dáithí; Wallimann-Helmer, Ivo

    2016-04-01

    The Paris Agreement (2015) under the UNFCCC has anchored loss and damage in a separate article which specifies that understanding and support should be enhanced in areas addressing loss and damage such as early warning, preparedness, insurance and resilience. Irreversible loss is a special category under loss and damage but there is still missing clarity over what irreversible loss actually includes. Many negative impacts of climate change may be handled or mitigated by existing risk management, reduction and absorption approaches. Irreversible loss, however, is thought to be insufficiently addressed by risk management. Therefore, countries potentially or actually affected by irreversible loss are calling for other measures such as compensation, which however is highly contested in international climate policy. In Paris (2015) a decision was adopted that loss and damage as defined in the respective article of the agreement does not involve compensation and liability. Nevertheless, it is likely that some sort of mechanism will eventually need to come into play for irreversible loss due to anthropogenic climate change, which might involve compensation, other forms of non-monetary reparation, or transformation. Furthermore, climate litigation has increasingly been attempted to address negative effects of climate change. In this context, attribution is important to understand the drivers of change, what counts as irreversible loss due to climate change, and, possibly, who or what is responsible. Here we approach this issue by applying a detection and attribution perspective on irreversible loss. We first analyze detected climate change impacts as assessed in the IPCC Fifth Assessment Report. We distinguish between irreversible loss in physical, biological and human systems, and accordingly identify the following candidates of irreversible loss in these systems: loss of glaciers and ice sheets, loss of subsurface ice (permafrost) and related loss of lake systems; loss

  7. 基于信息熵的多属性决策方法在商品住宅价格中的研究%Research of Entropy-based Multi-attribute Decision-making Method in Commercial Residence Price

    Institute of Scientific and Technical Information of China (English)

    赵一洁

    2012-01-01

    In the market economy, real estate prices play an important function and role in the economic development and economic operation of the real estate, therefore, forecasting price the changes in housing price and how to rationally develop housing prices is particularly important. Price forecast, in essence, is the decision-making activity which reflects on the numerical value. This paper conducted predicted study on housing prices, combing with multi-attribute decision model and regression analysis. Through the selection of parts of macroscopical factors of affecting housing prices to build entropy-based multi-attribute decision-making model, the relationships between various factors and housing prices are obtained, and housing prices are predicted by regression analysis.%在市场经济条件下,房地产价格在房地产经济发展和房地产经济运行中有着重要的功能和作用,因此,对房价变动的预测以及如何能够合理制定房价,显得尤为重要.价格的预测,究其本质,是一种体现在数值上的决策活动,本文结合了多属性综合决策模型与回归分析对房价进行了预测研究.通过选取影响房价的部分宏观因素,建立基于熵的多属性综合决策模型,得到各因素与房价之间的关系,并通过回归分析,对房价进行预测.

  8. Phenomenology and Meaning Attribution

    African Journals Online (AJOL)

    ... may be both confusing and disorienting to academic and clinical practitioners who ... questions of students of phenomenology often are the most appropriate ... Meaning attribution is the psychological study of the ... a best-seller with my publisher. But, except for ..... perhaps listening to music, having a chat, and things are ...

  9. An evidence reasoning approach based on projection multi-attribute decision making%一种基于投影多属性决策的证据推理方法

    Institute of Scientific and Technical Information of China (English)

    胡丽芳; 初军田; 李强

    2015-01-01

    The Dempster’s rule of combination cannot efficiently handle highly conflicting evidence combination, because it can arouse counter-intuitive behaviors. Therefore, a novel evidence combination approach is proposed. Firstly, an objective programming model for determining the ideal attribute weights is proposed by considering in local. Then, the alternative is ranked by utilizing the projection on the interval ideal point. Finally, illustrative examples show that the proposed method can effectively handle conflicting evidence combination.%Dempster证据组合规则无法有效处理高冲突证据组合问题,往往引发反直观结果。针对这一问题,提出一种新的证据推理方法。该方法通过建立一个目标规划模型来获得各信源最优的属性权重向量,进而基于投影法对各个目标方案在区间型理想点上的投影进行排序。实验结果表明,所提出的方法能够有效应对高冲突证据组合问题。

  10. Defining Dynamic Graphics by a Graphical Language

    Institute of Scientific and Technical Information of China (English)

    毛其昌; 戴汝为

    1991-01-01

    A graphical language which can be used for defining dynamic picture and applying control actions to it is defined with an expanded attributed grammar.Based on this a system is built for developing the presentation of application data of user interface.This system provides user interface designers with a friendly and high efficient programming environment.

  11. Credit in Acceptance Sampling on Attributes

    NARCIS (Netherlands)

    Klaassen, Chris A.J.

    2000-01-01

    Credit is introduced in acceptance sampling on attributes and a Credit Based Acceptance sampling system is developed that is very easy to apply in practice.The credit of a producer is defined as the total number of items accepted since the last rejection.In our sampling system the sample size for a

  12. Novel Topic Authorship Attribution

    Science.gov (United States)

    2011-03-01

    cross-validation, genre shift, vector projection, singular value decomposition, principal component analysis Unclassified Unclassified Unclassified...by eight students. Each student wrote a total of 24 documents in three different genres about three different topics. They found that compensating for...Baayen, H. Halteren, A. Neijt, and F. Tweedie, “Outside the cave of shadows: Using syntactic annotation to enhance authorship attribution,” Literary

  13. The Most Important Attributes of Entrepreneurs. Case Study of the Environment of Czech SMEs.

    Directory of Open Access Journals (Sweden)

    Belás J.

    2016-06-01

    Full Text Available The aim of this paper was to define and quantify the most important attributes of entrepreneurs in the segment of small and medium-sized enterprises. The partial objective was to compare the opinions of the entrepreneurs in relation to their gender, age and level of education. Scientific questions, defined in this paper, were verified through empirical research conducted in the Czech Republic in 2015 on a sample of 1,141 entrepreneurs. In our research, we found that entrepreneurs consider expertise, responsibility and perseverance to be the most important personal characteristics and skills. Propensity to risk and decisiveness are ranked right after them. The same group of three most important attributes is presented by all defined groups of entrepreneurs, which means that the assessment of the importance of these attributes remains the same regardless of gender, age and level of education of the entrepreneur. It is interesting that the weight of the expertise increases with the age of the entrepreneur. This trend is caused by the fact that men significantly more intensively presented this opinion. When evaluating the attitudes of entrepreneurs to other characteristics and skills no significant differences in relation to gender, age and education were identified.

  14. Discriminative power of visual attributes in dermatology.

    Science.gov (United States)

    Giotis, Ioannis; Visser, Margaretha; Jonkman, Marcel; Petkov, Nicolai

    2013-02-01

    Visual characteristics such as color and shape of skin lesions play an important role in the diagnostic process. In this contribution, we quantify the discriminative power of such attributes using an information theoretical approach. We estimate the probability of occurrence of each attribute as a function of the skin diseases. We use the distribution of this probability across the studied diseases and its entropy to define the discriminative power of the attribute. The discriminative power has a maximum value for attributes that occur (or do not occur) for only one disease and a minimum value for those which are equally likely to be observed among all diseases. Verrucous surface, red and brown colors, and the presence of more than 10 lesions are among the most informative attributes. A ranking of attributes is also carried out and used together with a naive Bayesian classifier, yielding results that confirm the soundness of the proposed method. proposed measure is proven to be a reliable way of assessing the discriminative power of dermatological attributes, and it also helps generate a condensed dermatological lexicon. Therefore, it can be of added value to the manual or computer-aided diagnostic process. © 2012 John Wiley & Sons A/S.

  15. Optimization of Lubricant Formulation Based on Multi-attribute Group Decision-making Theory%基于多属性群决策理论的润滑油配方优选∗

    Institute of Scientific and Technical Information of China (English)

    经建芳; 马骁飞; 李康春; 邓富康; 黄福川

    2015-01-01

    Aimed at the problems existed in the lubricant formulation optimization such as a comprehensive comparison of various indicators and properties, quantifying fuzzy information, balancing community comments and other issues, a multi⁃attribute group decision⁃making optimization model of lubricant formulations was constructed based on the combina⁃tion of fuzzy set theory and combined weighted arithmetic averaging operator(CWAA operator).Taking the heavy load com⁃pressor oil of combustible gas as an example,the applicability and rationality of the model was validated.The result shows that the optimization model can elect the better lubricant formulation than others though gathering information of properties and integrating decision⁃maker ’ s opinions effectively. This research provides a scientific and effective decision⁃making method for comprehensive evaluation of lubricant formulation.%针对润滑油配方优选过程中通常需对多种属性、多个指标进行综合比较,且存在信息模糊难以量化及群体意见如何平衡等问题,提出结合模糊集理论与组合加权算术平均算子( CWAA算子),建立润滑油配方的多属性群决策优选模型的方法。以可燃气体重负荷压缩机油为例,对所建模型的适用性及科学合理性进行验证。结果表明:该优选模型可有效地集结众属性信息、综合各决策者意见,优选出综合性能较好的润滑油配方,为润滑油配方的综合评价提供了一种科学而有效的决策方法。

  16. Decisiveness indices are semiindices

    OpenAIRE

    Freixas Bosch, Josep; Pons Vallès, Montserrat

    2016-01-01

    In this note we prove that any decisiveness index, defined for any voter as the probability of him/her being decisive, is a semiindex when the probability distribution over coalitions is anonymous, and it is a semiindex with binomial coefficients when the probability over coalitions is anonymous and independent. Peer Reviewed

  17. Decision and decision makers

    Directory of Open Access Journals (Sweden)

    Anuta Porutiu

    2010-12-01

    Full Text Available In the current economic context, decision making requires complex and multiple actions on the part of the policy makers, who are more challenged than in previous situations, due to the crisis that we are facing. Decision problems cannot be solved by focusing on manager’s own experience or intuition, but require constant adaptation of the methods used effectively in the past to new challenges. Thus, a systemic analysis and modeling of arising issues is required, resulting in the stringent use of Decision Support Systems (DSS, as a necessity in a competitive environment. DSS optimize the situation by getting a timely decision because the decision making process must acquire, process and interpret an even larger amount of data in the shortest possible time. A solution for this purpose is the artificial intelligence systems, in this case Decision Support Systems (DSS, used in a wider area due to expansion of all the new information technologies in decisionmaking processes. These substantial cyber innovations have led to a radical shift in the relationship between enterprise success and quality of decisions made by managers.

  18. 区间值对偶犹豫模糊集的距离测度及其在多属性决策中的应用%Distance Measures for Interval-valued Dual Hesitant Fuzzy Sets and its Applicationto Multi-Attribute Decision Making

    Institute of Scientific and Technical Information of China (English)

    王金英; 韩晓冰

    2015-01-01

    基于区间值对偶犹豫模糊集的定义,提出了距离测度的公理化定义,给出了区间值对偶犹豫模糊集的各种距离测度的公式,如Hamming距离测度、Euclidean距离测度和Hausdorff距离测度,最后,通过一个实际案例研究了距离测度在多属性决策中的应用。%Based on the definition of interval-valued dual hesitate fuzzy sets, the axiomatic definition of distance measure is proposed, the various distance measure formulas of interval-valued dual hesitate fuzzy sets are given, such as Hamming distance measures, Euclidean distance measures and Hausdorff distance measures, finally, the distance measure is applied to multiple attribute decision making through a practical example.

  19. Interactive decision-making: effects of consultation before personal decisions on postdecision consolidation.

    Science.gov (United States)

    Eisele, Per

    2006-08-01

    Pre- and postdecision processes were studied in triads of participants, dyads of participants, and for individual decision-makers in two experiment (N = 57 and 50). Participants were students volunteering to take part in the study (21 men and 36 women with a mean age of 24 yr. and 25 men and 25 women with a mean age of 27 yr.). The purpose was to examine how much interactive versus individual social interaction (consultation with others before making a personal decision) affects postdecision consolidation. Predecision differentiation and postdecision consolidation have been defined as attractiveness changes over time in favour of the chosen alternative. Participants were coded into three categories (noncompensatory, compensatory, and nonclassified) according to their different decision strategies. For Exp. 1, postdecision consolidation effects were significant for participants who used a noncompensatory (no comparisons across attributes) decision strategy. For Exp. 2, postdecision consolidation effects were significant for participants who made a personal decision but not those who made an interactive decision. The differing results in these two experiments were discussed.

  20. Determination of An Optimal Return-Path on Road Attributes for Mobile Robot Recharging

    Directory of Open Access Journals (Sweden)

    Fei Liu

    2011-11-01

    Full Text Available Optimal path-planning for mobile robot recharging is a very vital requirement in real applications. This paper proposes a strategy of determining an optimal return-path in consideration of road attributes which include length, surface roughness, road grade and the setting of speed-control hump. The road in the environment is partitioned into multiple segments, and for each one, a model of cost that the robot will pay for is established under the constraints of the attributes. The cost consists of energy consumption and the influence of vibration on mobile robot that is induced by motion. The return-path is constituted by multiple segments and its cost is defined to be the sum of the cost of each segment. The idle time, deduced from the cost, is firstly used as the decision factor for determining the optimal return-path. Finally, the simulation is given and the results prove the effectiveness and superiority of the strategy.

  1. Multi-Attribute Sequential Search

    Science.gov (United States)

    Bearden, J. Neil; Connolly, Terry

    2007-01-01

    This article describes empirical and theoretical results from two multi-attribute sequential search tasks. In both tasks, the DM sequentially encounters options described by two attributes and must pay to learn the values of the attributes. In the "continuous" version of the task the DM learns the precise numerical value of an attribute when she…

  2. Social attributions from faces: determinants, consequences, accuracy, and functional significance.

    Science.gov (United States)

    Todorov, Alexander; Olivola, Christopher Y; Dotsch, Ron; Mende-Siedlecki, Peter

    2015-01-03

    Since the early twentieth century, psychologists have known that there is consensus in attributing social and personality characteristics from facial appearance. Recent studies have shown that surprisingly little time and effort are needed to arrive at this consensus. Here we review recent research on social attributions from faces. Section I outlines data-driven methods capable of identifying the perceptual basis of consensus in social attributions from faces (e.g., What makes a face look threatening?). Section II describes nonperceptual determinants of social attributions (e.g., person knowledge and incidental associations). Section III discusses evidence that attributions from faces predict important social outcomes in diverse domains (e.g., investment decisions and leader selection). In Section IV, we argue that the diagnostic validity of these attributions has been greatly overstated in the literature. In the final section, we offer an account of the functional significance of these attributions.

  3. Strictness Analysis for Attribute Grammars

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1992-01-01

    interpretation of attribute grammars. The framework is used to construct a strictness analysis for attribute grammars. Results of the analysis enable us to transform an attribute grammar such that attributes are evaluated during parsing, if possible. The analysis is proved correct by relating it to a fixpoint...... semantics for attribute grammars. An implementation of the analysis is discussed and some extensions to the analysis are mentioned....

  4. Three approaches to deal with inconsistent decision tables - Comparison of decision tree complexity

    KAUST Repository

    Azad, Mohammad

    2013-01-01

    In inconsistent decision tables, there are groups of rows with equal values of conditional attributes and different decisions (values of the decision attribute). We study three approaches to deal with such tables. Instead of a group of equal rows, we consider one row given by values of conditional attributes and we attach to this row: (i) the set of all decisions for rows from the group (many-valued decision approach); (ii) the most common decision for rows from the group (most common decision approach); and (iii) the unique code of the set of all decisions for rows from the group (generalized decision approach). We present experimental results and compare the depth, average depth and number of nodes of decision trees constructed by a greedy algorithm in the framework of each of the three approaches. © 2013 Springer-Verlag.

  5. 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.

  6. Análise dos atributos do solo e da produtividade da cultura de cana-de-açúcar com o uso da geoestatística e árvore de decisão Analyze the soil attributes and sugarcane yield culture with the use of geostatistics and decision trees

    Directory of Open Access Journals (Sweden)

    Zigomar Menezes de Souza

    2010-04-01

    Full Text Available Um dos desafios da agricultura de precisão é oferecer subsídios para a definição de unidades de manejo para posteriores intervenções. Portanto, o objetivo deste trabalho foi avaliar os atributos químicos do solo e a produtividade da cultura de cana-de-açúcar por meio da geoestatística e mineração de dados pela indução da árvore de decisão. A produtividade da cana-de-açúcar foi mapeada em uma área de aproximadamente 23ha, utilizando-se o critério de célula, por meio de um monitor de produtividade que permitiu a elaboração de um mapa digital que representa a superfície de produção para a área em estudo. Para determinar os atributos de um Argissolo Vermelho-Amarelo, foram coletadas as amostras no início da safra 2006/2007, utilizando-se uma grade regular de 50 x 50m, nas profundidades de 0,0-0,2m e 0,2-0,4m. Os dados dos atributos do solo e da produtividade foram analisados por meio da técnica de goestatística e classificados em três níveis de produção para indução de árvore de decisão. A árvore de decisão foi induzida no programa SAS Enterprise Miner, sendo utilizado algoritmo baseado na redução de entropia. As variáveis altitude e potássio apresentaram os maiores valores de correlação com a produtividade de cana-de-açúcar. A indução de árvores de decisão permitiu verificar que a altitude é a variável com maior potencial para interpretar os mapas de produtividade de cana-de-açúcar, auxiliando na agricultura de precisão e mostrando-se uma ferramenta adequada para o estudo de definição de zonas de manejo em área cultivada com essa cultura.One of the challenges of precision agriculture is to offer subsidies for the definition of management units for posterior interventions. Therefore, the objective of this work was to evaluate soil chemical attributes and sugarcane yield with the use of geostatistics and data mining by decision tree induction. Sugarcane yield was mapped in a 23ha field

  7. Attribution and reciprocity

    DEFF Research Database (Denmark)

    Sebald, Alexander Christopher

    2010-01-01

    , in turn, influence behavior. Dufwenberg and Kirchsteiger [Dufwenberg, M., Kirchsteiger, G., 2004. A theory of sequential reciprocity. Games Econ. Behav. 47 (2), 268-298] formalize this empirical finding in their ‘theory of sequential reciprocity'. This paper extends their analysis by moves of chance. More...... precisely, an extended framework is presented which allows for the analysis of strategic interactions of reciprocal agents in situations in which material outcomes also depend on chance. Moves of chance influence the attribution of responsibilities, people's perceptions about the (un)kindness of others and......, hence, their reciprocal behavior. Furthermore, with the help of two applications it is demonstrated how this framework can be used to explain experimental findings showing that people react very differently in outcomewise-identical situations depending on the moves of chance involved....

  8. Attributes of Spirituality Described by Survivors of Sexual Violence

    Science.gov (United States)

    Knapik, Gregory P.; Martsolf, Donna S.; Draucker, Claire B.; Strickland, Karen D.

    2010-01-01

    This study focuses on what aspects of attributes of spirituality as defined by Martsolf and Mickley (1998) are most salient for female and male survivors of sexual violence. Content analysis of secondary narrative data, provided by 50 participants in a study of women's and men's responses to sexual violence, was coded to the five attributes of…

  9. Paranormal belief and attributional style.

    Science.gov (United States)

    Dudley, R T; Whisnand, E A

    2000-06-01

    52 college students completed Tobacyk's 1988 Revised Paranormal Belief Scale and Peterson, Semmel, von Baeyer, Abramson, Metalsky, and Seligman's 1982 Attributional Style Questionnaire. Analysis showed significantly higher depressive attributional styles among high scorers on paranormal phenomena than low scorers.

  10. Intelligent negotiation model for ubiquitous group decision scenarios

    Institute of Scientific and Technical Information of China (English)

    Joo CARNEIRO; Diogo MARTINHO; Goreti MARREIROS; Paulo NOVAIS

    2016-01-01

    Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process specifically designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments, complex algorithms, and agents’ modeling in a negotiation model. It uses a social networking logic due to the type of communication employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process, which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look into this problem by considering and defining strategies to deal with important points such as the type of attributes in the multi- criterion problems, agents’ reasoning, and intelligent dialogues.

  11. Guava Jam packaging determinant attributes in consumer buying decision

    OpenAIRE

    Maria Inês de Souza Dantas; Vânia Nakajima; Damiana Diniz Rosa; Fábia de Oliveira Andrade; Camila Canzian; Hércia Stampini Duarte Martino

    2011-01-01

    Using packaging and labels to lure consumers and to communicate product benefits directly on the shelf is a competitive advantage factor in the food industry sector. The label is especially effective since besides supplying basic details, such as weight, ingredients, and instructions in compliance with governmental regulations, it attracts consumers' attention and the desire to buy and which often becomes synonymous to the brand name. The objective of this study was to obtain detailed informa...

  12. GPA and Attribute Framing Effects: Are Better Students More Sensitive or More Susceptible?

    Science.gov (United States)

    Dunegan, Ken

    2010-01-01

    Data from 2 studies show students differ in terms of how attribute framing alters perceptions and reactions in a decision-making episode. Using student GPA as a moderator, results from a role-play-decision-making exercise (Experiment 1) show perceptions and intended actions of higher GPA students were more strongly affected by attribute framing…

  13. GPA and Attribute Framing Effects: Are Better Students More Sensitive or More Susceptible?

    Science.gov (United States)

    Dunegan, Ken

    2010-01-01

    Data from 2 studies show students differ in terms of how attribute framing alters perceptions and reactions in a decision-making episode. Using student GPA as a moderator, results from a role-play-decision-making exercise (Experiment 1) show perceptions and intended actions of higher GPA students were more strongly affected by attribute framing…

  14. Definable deduction relation

    Institute of Scientific and Technical Information of China (English)

    张玉平

    1999-01-01

    The nonmonotonic deduction relation in default reasoning is defined with fixed point style, which has the many-extension property that classical logic is not possessed of. These two kinds of deductions both have boolean definability property, that is, their extensions or deductive closures can be defined by boolean formulas. A generalized form of fixed point method is employed to define a class of deduction relations, which all have the above property. Theorems on definability and atomless boolean algebras in model theory are essential in dealing with this assertion.

  15. New Explorations for Decision Trees

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Traditionally, the decision tree method is defined and used for finding the optimal solution of a Bayesian decision problem. And it is difficult to use the decision tree method to find the sub-optimal solution, not to mention to rank alternatives. This paper discusses how to use the decision tree method for the alternative selecting and ranking.A practical case study is given to illustrate the applicability.

  16. Instantaneous Frequency Attribute Comparison

    Science.gov (United States)

    Yedlin, M. J.; Margrave, G. F.; Ben Horin, Y.

    2013-12-01

    The instantaneous seismic data attribute provides a different means of seismic interpretation, for all types of seismic data. It first came to the fore in exploration seismology in the classic paper of Taner et al (1979), entitled " Complex seismic trace analysis". Subsequently a vast literature has been accumulated on the subject, which has been given an excellent review by Barnes (1992). In this research we will compare two different methods of computation of the instantaneous frequency. The first method is based on the original idea of Taner et al (1979) and utilizes the derivative of the instantaneous phase of the analytic signal. The second method is based on the computation of the power centroid of the time-frequency spectrum, obtained using either the Gabor Transform as computed by Margrave et al (2011) or the Stockwell Transform as described by Stockwell et al (1996). We will apply both methods to exploration seismic data and the DPRK events recorded in 2006 and 2013. In applying the classical analytic signal technique, which is known to be unstable, due to the division of the square of the envelope, we will incorporate the stabilization and smoothing method proposed in the two paper of Fomel (2007). This method employs linear inverse theory regularization coupled with the application of an appropriate data smoother. The centroid method application is straightforward and is based on the very complete theoretical analysis provided in elegant fashion by Cohen (1995). While the results of the two methods are very similar, noticeable differences are seen at the data edges. This is most likely due to the edge effects of the smoothing operator in the Fomel method, which is more computationally intensive, when an optimal search of the regularization parameter is done. An advantage of the centroid method is the intrinsic smoothing of the data, which is inherent in the sliding window application used in all Short-Time Fourier Transform methods. The Fomel technique

  17. Physiological attributes of triathletes.

    Science.gov (United States)

    Suriano, R; Bishop, D

    2010-05-01

    Triathlons of all distances can be considered endurance events and consist of the individual disciplines of swimming, cycling and running which are generally completed in this sequential order. While it is expected that elite triathletes would possess high values for submaximal and maximal measures of aerobic fitness, little is known about how these values compare with those of single-sport endurance athletes. Earlier reviews, conducted in the 1980s, concluded that triathletes possessed lower V(O2(max)) values than other endurance athletes. An update of comparisons is of interest to determine if the physiological capacities of elite triathletes now reflect those of single-sport athletes or whether these physiological capacities are compromised by the requirement to cross-train for three different disciplines. It was found that although differences in the physiological attributes during swimming, cycling and running are evident among triathletes, those who compete at an international level possess V(O2(max)) values that are indicative of success in endurance-based individual sports. Furthermore, various physiological parameters at submaximal workloads have been used to describe the capacities of these athletes. Only a few studies have reported the lactate threshold among triathletes with the majority of studies reporting the ventilatory threshold. Although observed differences among triathletes for both these submaximal measures are complicated by the various methods used to determine them, the reported values for triathletes are similar to those for trained cyclists and runners. Thus, from the limited data available, it appears that triathletes are able to obtain similar physiological values as single-sport athletes despite dividing their training time among three disciplines.

  18. The influence of passenger demographics on airport attribute evaluation

    Directory of Open Access Journals (Sweden)

    Stephen Carstens

    2012-11-01

    Full Text Available It is imperative for airport operators and airlines to have a clear understanding of the factors which influence the passenger’s decision with regard to which airport/airline combination to use in a multi-airport scenario. Interactions between demographic variables, such as gender and purpose of travel, and the choice attributes in the decision-making process exist. The extent to which specific attributes influence the passenger’s decision could be invaluable to service providers (airport operators and airlines in allocating and employing limited resources. The purpose of this article is to investigate the extent of the interactions between passenger demographics and attribute evaluation by taking into account the ordinal nature of the measurement scale.

  19. Strictness Analysis for Attribute Grammars

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1992-01-01

    Attribute grammars may be seen as a (rather specialised) lazy or demand-driven programming language. The ``programs'' in this language take text or parse trees as input and return values of the synthesised attributes to the root as output. From this observation we establish a framework for abstract...... interpretation of attribute grammars. The framework is used to construct a strictness analysis for attribute grammars. Results of the analysis enable us to transform an attribute grammar such that attributes are evaluated during parsing, if possible. The analysis is proved correct by relating it to a fixpoint...... semantics for attribute grammars. An implementation of the analysis is discussed and some extensions to the analysis are mentioned....

  20. Moral Attributes In A Dictator Game

    Directory of Open Access Journals (Sweden)

    Brian T. Kench

    2011-07-01

    Full Text Available This paper investigates whether or not the moral factors captured in an emotional intelligence assessment matter in the economic decisions made by subjects in a dictator game.  We find a statistically significant relationship between the amount of the dictator’s contribution and a few of the factors of the Intrapersonal Dimension of the EQ-i. We also find a significant relationship between dictator contributions and an adjusted EQ-i score, measures of independence, know-my-own and empathy. Our results may be relevant to researchers interested in understanding the preference set of economic decision-makers.  Moreover, for those interested in refining experimental design protocols, we show the EQ-i to be a useful resource to control for a few of the moral attributes Levitt et al. (2006 suggest are so very important in understanding laboratory and field experiments. 

  1. Split Decisions, Split Decisions

    Directory of Open Access Journals (Sweden)

    2000-01-01

    Full Text Available The lead stories in Nature and Science went in opposite directions this week. Science chose outer space, launching into NASA’s hotly disputed decision to shelve a planned mission to Pluto. Nature plunged into inner space with a story about a report to the European Commission advising against granting “premature” approval to create human embryos for stem-cell research.

  2. Ciphertext Policy Attribute based Encryption with anonymous access policy

    CERN Document Server

    Balu, A

    2010-01-01

    In Ciphertext Policy Attribute based Encryption scheme, the encryptor can fix the policy, who can decrypt the encrypted message. The policy can be formed with the help of attributes. In CP-ABE, access policy is sent along with the ciphertext. We propose a method in which the access policy need not be sent along with the ciphertext, by which we are able to preserve the privacy of the encryptor. The proposed construction is provably secure under Decision Bilinear Diffe-Hellman assumption.

  3. SLEAS: Supervised Learning using Entropy as Attribute Selection Measure

    Directory of Open Access Journals (Sweden)

    Kishor Kumar Reddy C

    2014-10-01

    Full Text Available There is embryonic importance in scaling up the broadly used decision tree learning algorithms to huge datasets. Even though abundant diverse methodologies have been proposed, a fast tree growing algorithm without substantial decrease in accuracy and substantial increase in space complexity is essential to a greater extent. This paper aims at improving the performance of the SLIQ (Supervised Learning in Quest decision tree algorithm for classification in data mining. In the present research, we adopted entropy as attribute selection measure, which overcomes the problems facing with Gini Index. Classification accuracy of the proposed supervised learning using entropy as attribute selection measure (SLEAS algorithm is compared with the existing SLIQ algorithm using twelve datasets taken from UCI Machine Learning Repository, and the results yields that the SLEAS outperforms when compared with SLIQ decision tree. Further, error rate is also computed and the results clearly show that the SLEAS algorithm is giving less error rate when compared with SLIQ decision tree.

  4. The Spatial Decision-making in Rural Migrants' Employment and the Effect of Their Individual Attribute:A Study of Four Villages in Anhui Province%农村劳动力转移就业的空间决策及其个体属性影响--以安徽省四个样本村为例

    Institute of Scientific and Technical Information of China (English)

    赵春雨

    2014-01-01

    the spatial decision-making in rural migrant labors' employment is the destination choosing process under the guidance of a specific employment goal with certain approaches to finding a certain job. An analysis of the cases in 4 villages in Anhui Province by frequency analysis , clustering analysis and cross-tab analysis to explore the characteristics of the rural labor's spatial migration decision-making in employment goals, approaches, modes and destinations. It finds that the individual attributes affect their spatial decision-making process significantly and the polices in removal of the barriers against equal employment such as the well known household system, social security, residents restriction is the key to improve the employment of the migrants from the rural in China.%农村劳动力转移就业空间决策是农村劳动力在特定目标指引下,通过具体就业途径和就业方式,进行就业地决策的过程。通过SPSS17.0的频率分析、聚类分析、交叉分析等方法,以安徽省四个样本村为例,探讨了农村劳动力在转移就业目标决策、就业途径决策、就业方式决策和就业地决策等方面的基本特征,分析了个体属性差异对转移就业空间决策的影响。研究结果表明,除外部环境外,个体属性因素深刻地影响农村劳动力转移就业空间决策,而提高人力资源,消除阻碍转移的户籍、社会保障、定居等障碍因素是提高劳动力就业质量的重要方面。

  5. A Teoria da Imagem como Explicação para a Atribuição de Pesos em Critérios de DecisãoThe Image Theory as Explanation for the Attribution of Values in Criteria for DecisionLa Teoría de la Imagen como Explicación para la Valorar los Criterios de Decisión

    Directory of Open Access Journals (Sweden)

    ESTIVALETE, Vânia de Fátima Barros

    2008-09-01

    task (complexity of the task and information’s quality were inserted with intention to test variations in the use of decision makers’ information. It was concluded that the individuals commit greater intentionally number of trespasses in the attribution of weights, that is, transgress axioms of the multicriterial method to choose one previous defined alternative. There is, also, no relation between the linearity of the process and the trespasses, discarding the linearity as an explanation for the trespasses. The result of this study supplies indications to prove that the decision makers have strong conceptual values in its structure of knowledge at the beginning the decision process, and that, these values guide the subsequent process all.RESUMENEste estudio tiene por finalidad determinar cómo las personas utilizan las informaciones en un proceso de toma de decisiones cuando tienen interés en lograr resultados previamente establecidos. Se utilizó una tarea decisoria multicriterio, resuelta con la ayuda de un SAD. El método de investigación fue experimental, con grupos experimentales, dividido por grado de conocimiento sobre el objeto de la decisión (coches del pueblo. También se incluyeron en el experimento otras dos variables independientes, la calidad de la información y la complejidad de la tarea. Las tres variables, una de sujeto (grado de conocimiento y dos de tarea (complejidad de la tarea y la calidad de la información se incluyeron con la finalidad de experimentar variaciones en el uso de la información por parte de los decisores. Se concluyó que los individuos cometen mayor número de transgresiones intencionalmente al valorar o sea, hay una transgresión de los axiomas del método multicriterio para seleccionar determinada alternativa. Tampoco hay relación entre la linealidad del proceso y las transgresiones, excluyéndose la linealidad como explicación para las transgresiones. El resultado de este estudio proporciona indicios para comprobar

  6. Historically defined autobiographical periods

    DEFF Research Database (Denmark)

    Brown, Norman R.; Hansen, Tia G. B.; Lee, Peter J.;

    2012-01-01

    The chapter reviews a research programme that has demonstrated the existence of historically defined autobiographical periods and identified the conditions that bring them about. Data from four samples of World War II-generation adults show that historically defined autobiographical periods endure...... over time and theoretical implications are discussed, notably by introducing a new approach to autobiographical memory, Transition Theory, which assumes that autobiographical memory is organized by transitional events that can be selfinitiated or externally imposed - historically defined...

  7. Research on Attribute Reduction in Hoisting Motor State Recognition of Quayside Container Crane

    Science.gov (United States)

    Li, F.; Tang, G.; Hu, X.

    2017-07-01

    In view of too many attributes in hoisting motor state recognition of quayside container crane. Attribute reduction method based on discernibility matrix is introduced to attribute reduction of lifting motor state information table. A method of attribute reduction based on the combination of rough set and genetic algorithm is proposed to deal with the hoisting motor state decision table. Under the condition that the information system's decision-making ability is unchanged, the redundant attribute is deleted. Which reduces the complexity and computation of the recognition process of the hoisting motor. It is possible to realize the fast state recognition.

  8. Extracting fuzzy rules under uncertainty and measuring definability using rough sets

    Science.gov (United States)

    Culas, Donald E.

    1991-01-01

    Although computers have come a long way since their invention, they are basically able to handle only crisp values at the hardware level. Unfortunately, the world we live in consists of problems which fail to fall into this category, i.e., uncertainty is all too common. A problem is looked at which involves uncertainty. To be specific, attributes are dealt with which are fuzzy sets. Under this condition, knowledge is acquired by looking at examples. In each example, a condition as well as a decision is made available. Based on the examples given, two sets of rules are extracted, certain and possible. Furthermore, measures are constructed of how much these rules are believed in, and finally, the decisions are defined as a function of the terms used in the conditions.

  9. Geometric Seismic Attributes of Boca de Jaruco Oil Field

    Directory of Open Access Journals (Sweden)

    Yamicela Tamayo López

    2013-06-01

    Full Text Available This paper focuses in determining the Geometric Seismic Attributes in the central block of Mouth ofJaruco oil field to decrease the uncertainty in the structural design. The three dimensions seismic datacollected and depth migration processing results were used and was defined that the surface isassociated to the main reserve. A Geometric Attributes maps elaboration (Azimuth, Dip, Curvature andRoughness work flow was developed; and was able to determine structural elements, where traditionalseismic data were not always able to demonstrate a confinable image of the geological structure. Thisstructure includes three structures between 1122 and 1200 m in depth. The Azimuth Attribute differentiatesthe southern flank from the northern flank; and defined accurately the top of the structure. The DipAttribute indicates values of layers inclination between 5 and 30º, the structure top with lowers valuesand the flanks with higher values, mainly to the south. Curvature and Roughness attributes reveal theareas of faults or channels.

  10. The Intuitionistic Fuzzy Weighted Geometric Aggregation (IFWGA) Operator Based on Interactions and Its Application to the Multiple Attributes Decision Making%基于交叉影响的IFWGA算子及其在多属性决策中的应用

    Institute of Scientific and Technical Information of China (English)

    何迎东; 邹委员; 陈华友; 周礼刚

    2013-01-01

    There may also exisit some interactions between membership function and nonmembership function in the process of aggregating different intuitionistic fuzzy numbers,we propose the improved operations laws over intuitionistic fuzzy numbers,including multiplication and power operation.Based on which,we present the intuitionistic fuzzy weighted geometric aggregation (IFWGA) operator and the intuitionistic fuzzy ordered weighted geometric aggregation (IFOWGA) operator.Moreover,the corresponding expressions are given,and the properties of these operators are investigated.Finally,an example shows the feasibility and validity of the new operators in the application of multiple attributes decision making.%不同直觉模糊数在信息集结过程中,其隶属度与非隶属度之间可能存在着相互影响.提出了直觉模糊数上的改进的乘法运算和幂运算,重新给出了直觉模糊加权几何平均算子和直觉模糊有序加权几何平均算子的表达式,并研究了他们的一些性质.最后通过实例说明了新的IFWGA集成算子在多属性决策中的应用是可行和有效的.

  11. Bilayer graphene quantum dot defined by topgates

    Energy Technology Data Exchange (ETDEWEB)

    Müller, André; Kaestner, Bernd; Hohls, Frank; Weimann, Thomas; Pierz, Klaus; Schumacher, Hans W., E-mail: hans.w.schumacher@ptb.de [Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig (Germany)

    2014-06-21

    We investigate the application of nanoscale topgates on exfoliated bilayer graphene to define quantum dot devices. At temperatures below 500 mK, the conductance underneath the grounded gates is suppressed, which we attribute to nearest neighbour hopping and strain-induced piezoelectric fields. The gate-layout can thus be used to define resistive regions by tuning into the corresponding temperature range. We use this method to define a quantum dot structure in bilayer graphene showing Coulomb blockade oscillations consistent with the gate layout.

  12. Defining Legal Moralism

    DEFF Research Database (Denmark)

    Thaysen, Jens Damgaard

    2015-01-01

    This paper discusses how legal moralism should be defined. It is argued that legal moralism should be defined as the position that “For any X, it is always a pro tanto reason for justifiably imposing legal regulation on X that X is morally wrong (where “morally wrong” is not conceptually equivalent...

  13. Transition constraints for temporal attributes

    CSIR Research Space (South Africa)

    Ongoma, EAN

    2014-07-01

    Full Text Available over time as the object migrates from one class to the next. Research on transition constraints has covered only object migration [3] and relation migration [14]. However, to efficiently represent and reason over data, we need to also look at attribute... transition, which is the migration of attributes along an object’s life cycle. Temporal attributes have been used and studied less in comparison to classes and relations. Yet in databases, we have a direct contact with attributes, and if those (temporal...

  14. Classification for Inconsistent Decision Tables

    KAUST Repository

    Azad, Mohammad

    2016-09-28

    Decision trees have been used widely to discover patterns from consistent data set. But if the data set is inconsistent, where there are groups of examples with equal values of conditional attributes but different labels, then to discover the essential patterns or knowledge from the data set is challenging. Three approaches (generalized, most common and many-valued decision) have been considered to handle such inconsistency. The decision tree model has been used to compare the classification results among three approaches. Many-valued decision approach outperforms other approaches, and M_ws_entM greedy algorithm gives faster and better prediction accuracy.

  15. Irreducible descriptive sets of attributes for information systems

    KAUST Repository

    Moshkov, Mikhail

    2010-01-01

    The maximal consistent extension Ext(S) of a given information system S consists of all objects corresponding to attribute values from S which are consistent with all true and realizable rules extracted from the original information system S. An irreducible descriptive set for the considered information system S is a minimal (relative to the inclusion) set B of attributes which defines exactly the set Ext(S) by means of true and realizable rules constructed over attributes from the considered set B. We show that there exists only one irreducible descriptive set of attributes. We present a polynomial algorithm for this set construction. We also study relationships between the cardinality of irreducible descriptive set of attributes and the number of attributes in S. The obtained results will be useful for the design of concurrent data models from experimental data. © 2010 Springer-Verlag.

  16. Authorship Attribution of Source Code

    Science.gov (United States)

    Tennyson, Matthew F.

    2013-01-01

    Authorship attribution of source code is the task of deciding who wrote a program, given its source code. Applications include software forensics, plagiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been presented in the past. A review of those existing methods is…

  17. Causal Attributions of Shy Subjects.

    Science.gov (United States)

    Teglasi, Hedwig; Hoffman, Mary Ann

    1982-01-01

    Causal attributions of shy students (N=36) were compared with those of a comparison group of students (N=36) in ten situations. Significant differences between the two groups emerged when explaining outcomes of situations considered to be problematic for shy individuals. Causal attributions may reflect realistic and situation-specific…

  18. Defining Documentary Film

    DEFF Research Database (Denmark)

    Juel, Henrik

    2006-01-01

    A discussion of various attemts at defining documentary film regarding form, content, truth, stile, genre or reception - and a propoposal of a positive list of essential, but non-exclusive characteristica of documentary film......A discussion of various attemts at defining documentary film regarding form, content, truth, stile, genre or reception - and a propoposal of a positive list of essential, but non-exclusive characteristica of documentary film...

  19. Definably amenable NIP groups

    OpenAIRE

    Chernikov, Artem; Simon, Pierre

    2015-01-01

    We study definably amenable NIP groups. We develop a theory of generics, showing that various definitions considered previously coincide, and study invariant measures. Applications include: characterization of regular ergodic measures, a proof of the conjecture of Petrykowski connecting existence of bounded orbits with definable amenability in the NIP case, and the Ellis group conjecture of Newelski and Pillay connecting the model-theoretic connected component of an NIP group with the ideal s...

  20. Decision Making in Action

    Science.gov (United States)

    Orasanu, Judith; Statler, Irving C. (Technical Monitor)

    1994-01-01

    The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication

  1. Equational binary decision diagrams

    NARCIS (Netherlands)

    Groote, J.F.; Pol, J.C. van de

    2000-01-01

    We incorporate equations in binary decision diagrams (BDD). The resulting objects are called EQ-BDDs. A straightforward notion of ordered EQ-BDDs (EQ-OBDD) is defined, and it is proved that each EQ-BDD is logically equivalent to an EQ-OBDD. Moreover, on EQ-OBDDs satisfiability and tautology checkin

  2. Equational binary decision diagrams

    NARCIS (Netherlands)

    J.F. Groote (Jan Friso); J.C. van de Pol (Jaco)

    2000-01-01

    textabstractWe incorporate equations in binary decision diagrams (BDD). The resulting objects are called EQ-BDDs. A straightforward notion of ordered EQ-BDDs (EQ-OBDD) is defined, and it is proved that each EQ-BDD is logically equivalent to an EQ-OBDD. Moreover, on EQ-OBDDs satisfiability and

  3. Equational binary decision diagrams

    NARCIS (Netherlands)

    J.F. Groote (Jan Friso); J.C. van de Pol (Jaco)

    2000-01-01

    textabstractWe incorporate equations in binary decision diagrams (BDD). The resulting objects are called EQ-BDDs. A straightforward notion of ordered EQ-BDDs (EQ-OBDD) is defined, and it is proved that each EQ-BDD is logically equivalent to an EQ-OBDD. Moreover, on EQ-OBDDs satisfiability and tauto

  4. Can play be defined?

    DEFF Research Database (Denmark)

    Eichberg, Henning

    2015-01-01

    Can play be defined? There is reason to raise critical questions about the established academic demand that at phenomenon – also in humanist studies – should first of all be defined, i.e. de-lineated and by neat lines limited to a “little box” that can be handled. The following chapter develops t....... Human beings can very well understand play – or whatever phenomenon in human life – without defining it........ The academic imperative of definition seems to be linked to the positivistic attempts – and produces sometimes monstrous definitions. Have they any philosophical value for our knowledge of what play is? Definition is not a universal instrument of knowledge-building, but a culturally specific construction...

  5. Nouns to Define Homophobia

    Directory of Open Access Journals (Sweden)

    Adalberto Campo Arias

    2013-09-01

    Full Text Available Background. The term ‘homophobia’ was introduced in the academic context more than 40 years ago. However, its meaning has changed over time. Objective. To review the nouns used in the last twelve years to define homophobia. Methodology. The authors conducted a systematic search in Medline through Pubmed that included editorials, letters to editors, comments and narrative reviews, in English and Spanish. A qualitative analysis (Grounded theory was applied to analyze nouns used to define homophobia since 2001 through 2012. Results. Authors reviewed three papers including ten nouns to define homophobia, the most common noun was fear. The terms were grouped into two domains: negative attitude and discomfort with homosexuality. Conclusion. Fear is the most used word to describe homophobia. The terms were grouped into two domains: negative attitude and discomfort toward homosexuality.

  6. Rational decisions

    CERN Document Server

    Binmore, Ken

    2008-01-01

    It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to ""look before you leap."" If taken seriously, this view makes Bayesian decision theory inappropriate for the large worlds of scientific discovery and macroeconomic enterprise. When is it correct to use Bayesian decision theory--and when does it need to be modified? Using a minimum of mathematics,

  7. Defining "intermittent UVR exposure"

    DEFF Research Database (Denmark)

    Bodekær, Mette; Philipsen, Peter Alshede; Petersen, Bibi Øager;

    2016-01-01

    to define and quantify “intermittent UVR exposure” by an objective measure. Methods: A broad study population of adults and children had data collected during a summer period. Data were personal UVR dosimetry measurements, from which the number of “intermittent days” was derived, sun behaviour diaries.......001). The corresponding numbers for prediction of nevi and lentigo density by retrospective questionnaire data was lower (R2 = 0.11, R2 = 0.26, p defined objective measure of intermittent UVR exposure. This measure may provide a better prediction of solar skin damage and CMM...

  8. Theory of the decision/problem state

    Science.gov (United States)

    Dieterly, D. L.

    1980-01-01

    A theory of the decision-problem state was introduced and elaborated. Starting with the basic model of a decision-problem condition, an attempt was made to explain how a major decision-problem may consist of subsets of decision-problem conditions composing different condition sequences. In addition, the basic classical decision-tree model was modified to allow for the introduction of a series of characteristics that may be encountered in an analysis of a decision-problem state. The resulting hierarchical model reflects the unique attributes of the decision-problem state. The basic model of a decision-problem condition was used as a base to evolve a more complex model that is more representative of the decision-problem state and may be used to initiate research on decision-problem states.

  9. Attribute-based analysis of hunters' lease preferences.

    Science.gov (United States)

    Hussain, Anwar; Munn, Ian A; Hudson, Darren; West, Ben

    2010-12-01

    Understanding of hunter preferences for hunting lease attributes is important to landowners because such knowledge provides key information for managing and marketing fee-hunting in order to maximize revenues. Premised on this insight, we used attribute based modeling to investigate how hunter preferences for potential leases were influenced by lease and hunter-specific attributes. A mail survey of Mississippi licensed hunters provided the necessary data. Estimation results based on McFadden conditional logit regression suggested that lease attributes including game diversity, lease location relative to hunter residence, lease size, lease duration and lease rate influenced willingness to pay for additional units of lease attributes. Depending on the specific levels of these attributes, WTP could vary as much as $5.70 per acre. Of the hunter-specific attributes, age and income significantly influenced hunter decision to buy a lease or opt for status quo. Results of this study should assist landowners in increasing financial returns from fee-hunting endeavors through appropriate changes to their hunting access policies and wildlife management activities in response to hunter preferences regarding lease attributes.

  10. Abstract Interpretation and Attribute Gramars

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    The objective of this thesis is to explore the connections between abstract interpretation and attribute grammars as frameworks in program analysis. Abstract interpretation is a semantics-based program analysis method. A large class of data flow analysis problems can be expressed as non......-standard semantics where the ``meaning'' contains information about the runtime behaviour of programs. In an abstract interpretation the analysis is proved correct by relating it to the usual semantics for the language. Attribute grammars provide a method and notation to specify code generation and program analysis...... directly from the syntax of the programming language. They are especially used for describing compilation of programming languages and very efficient evaluators have been developed for subclasses of attribute grammars. By relating abstract interpretation and attribute grammars we obtain a closer connection...

  11. Corporate attributes and corporate accruals

    National Research Council Canada - National Science Library

    Md Shamimul Hasan; Normah Omar; Rashidah Abdul Rahman; Syed Zabid Hossain

    2016-01-01

    ... (discretionary accruals) in Bangladesh. The behaviour of corporate accruals is explained by corporate attributes such as asset size, turnover, earnings per share, number of shareholders, year of listing, international link of audit firm...

  12. Spanning Tree Based Attribute Clustering

    DEFF Research Database (Denmark)

    Zeng, Yifeng; Jorge, Cordero Hernandez

    2009-01-01

    inconsistent edges from a maximum spanning tree by starting appropriate initial modes, therefore generating stable clusters. It discovers sound clusters through simple graph operations and achieves significant computational savings. We compare the Star Discovery algorithm against earlier attribute clustering...

  13. Software defined networks a comprehensive approach

    CERN Document Server

    Goransson, Paul

    2014-01-01

    Software Defined Networks discusses the historical networking environment that gave rise to SDN, as well as the latest advances in SDN technology. The book gives you the state of the art knowledge needed for successful deployment of an SDN, including: How to explain to the non-technical business decision makers in your organization the potential benefits, as well as the risks, in shifting parts of a network to the SDN modelHow to make intelligent decisions about when to integrate SDN technologies in a networkHow to decide if your organization should be developing its own SDN applications or

  14. On Defining Mass

    Science.gov (United States)

    Hecht, Eugene

    2011-01-01

    Though central to any pedagogical development of physics, the concept of mass is still not well understood. Properly defining mass has proven to be far more daunting than contemporary textbooks would have us believe. And yet today the origin of mass is one of the most aggressively pursued areas of research in all of physics. Much of the excitement…

  15. Defining Data Science

    OpenAIRE

    Zhu, Yangyong; Xiong, Yun

    2015-01-01

    Data science is gaining more and more and widespread attention, but no consensus viewpoint on what data science is has emerged. As a new science, its objects of study and scientific issues should not be covered by established sciences. Data in cyberspace have formed what we call datanature. In the present paper, data science is defined as the science of exploring datanature.

  16. Software Defined Networking

    DEFF Research Database (Denmark)

    Caba, Cosmin Marius

    resources are limited. Hence, to counteract this trend, current QoS mechanisms must become simpler to deploy and operate, in order to motivate NSPs to employ QoS techniques instead of overprovisioning. Software Defined Networking (SDN) represents a paradigm shift in the way telecommunication and data...

  17. Defining Effective Teaching

    Science.gov (United States)

    Layne, L.

    2012-01-01

    The author looks at the meaning of specific terminology commonly used in student surveys: "effective teaching." The research seeks to determine if there is a difference in how "effective teaching" is defined by those taking student surveys and those interpreting the results. To investigate this difference, a sample group of professors and students…

  18. Defining Game Mechanics

    DEFF Research Database (Denmark)

    Sicart (Vila), Miguel Angel

    2008-01-01

    This article defins game mechanics in relation to rules and challenges. Game mechanics are methods invoked by agents for interacting with the game world. I apply this definition to a comparative analysis of the games Rez, Every Extend Extra and Shadow of the Colossus that will show the relevance...... of a formal definition of game mechanics. Udgivelsesdato: Dec 2008...

  19. Software Defined Cyberinfrastructure

    Energy Technology Data Exchange (ETDEWEB)

    Foster, Ian; Blaiszik, Ben; Chard, Kyle; Chard, Ryan

    2017-07-17

    Within and across thousands of science labs, researchers and students struggle to manage data produced in experiments, simulations, and analyses. Largely manual research data lifecycle management processes mean that much time is wasted, research results are often irreproducible, and data sharing and reuse remain rare. In response, we propose a new approach to data lifecycle management in which researchers are empowered to define the actions to be performed at individual storage systems when data are created or modified: actions such as analysis, transformation, copying, and publication. We term this approach software-defined cyberinfrastructure because users can implement powerful data management policies by deploying rules to local storage systems, much as software-defined networking allows users to configure networks by deploying rules to switches.We argue that this approach can enable a new class of responsive distributed storage infrastructure that will accelerate research innovation by allowing any researcher to associate data workflows with data sources, whether local or remote, for such purposes as data ingest, characterization, indexing, and sharing. We report on early experiments with this approach in the context of experimental science, in which a simple if-trigger-then-action (IFTA) notation is used to define rules.

  20. Defining in Classroom Activities.

    Science.gov (United States)

    Mariotti, Maria Alessandra; Fischbein, Efraim

    1997-01-01

    Discusses some aspects of the defining process in geometrical context in the reference frame of the theory of "figural concepts." Presents analysis of some examples taken from a teaching experiment at the sixth-grade level. Contains 30 references. (Author/ASK)

  1. Defining Game Mechanics

    DEFF Research Database (Denmark)

    Sicart (Vila), Miguel Angel

    2008-01-01

    This article defins game mechanics in relation to rules and challenges. Game mechanics are methods invoked by agents for interacting with the game world. I apply this definition to a comparative analysis of the games Rez, Every Extend Extra and Shadow of the Colossus that will show the relevance...... of a formal definition of game mechanics. Udgivelsesdato: Dec 2008...

  2. Decision aids for people facing health treatment or screening decisions.

    Science.gov (United States)

    Stacey, Dawn; Légaré, France; Col, Nananda F; Bennett, Carol L; Barry, Michael J; Eden, Karen B; Holmes-Rovner, Margaret; Llewellyn-Thomas, Hilary; Lyddiatt, Anne; Thomson, Richard; Trevena, Lyndal; Wu, Julie H C

    2014-01-28

    Decision aids are intended to help people participate in decisions that involve weighing the benefits and harms of treatment options often with scientific uncertainty. To assess the effects of decision aids for people facing treatment or screening decisions. For this update, we searched from 2009 to June 2012 in MEDLINE; CENTRAL; EMBASE; PsycINFO; and grey literature. Cumulatively, we have searched each database since its start date including CINAHL (to September 2008). We included published randomized controlled trials of decision aids, which are interventions designed to support patients' decision making by making explicit the decision, providing information about treatment or screening options and their associated outcomes, compared to usual care and/or alternative interventions. We excluded studies of participants making hypothetical decisions. Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. The primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were:A) 'choice made' attributes;B) 'decision-making process' attributes.Secondary outcomes were behavioral, health, and health-system effects. We pooled results using mean differences (MD) and relative risks (RR), applying a random-effects model. This update includes 33 new studies for a total of 115 studies involving 34,444 participants. For risk of bias, selective outcome reporting and blinding of participants and personnel were mostly rated as unclear due to inadequate reporting. Based on 7 items, 8 of 115 studies had high risk of bias for 1 or 2 items each.Of 115 included studies, 88 (76.5%) used at least one of the IPDAS effectiveness criteria: A) 'choice made' attributes criteria: knowledge scores (76 studies); accurate risk perceptions (25 studies); and informed value-based choice (20 studies); and B) 'decision-making process' attributes criteria: feeling informed (34 studies) and feeling clear about values (29

  3. Relative Attribute SVM+ Learning for Age Estimation.

    Science.gov (United States)

    Wang, Shengzheng; Tao, Dacheng; Yang, Jie

    2016-03-01

    When estimating age, human experts can provide privileged information that encodes the facial attributes of aging, such as smoothness, face shape, face acne, wrinkles, and bags under-eyes. In automatic age estimation, privileged information is unavailable to test images. To overcome this problem, we hypothesize that asymmetric information can be explored and exploited to improve the generalizability of the trained model. Using the learning using privileged information (LUPI) framework, we tested this hypothesis by carefully defining relative attributes for support vector machine (SVM+) to improve the performance of age estimation. We term this specific setting as relative attribute SVM+ (raSVM+), in which the privileged information enables separation of outliers from inliers at the training stage and effectively manipulates slack variables and age determination errors during model training, and thus guides the trained predictor toward a generalizable solution. Experimentally, the superiority of raSVM+ was confirmed by comparing it with state-of-the-art algorithms on the face and gesture recognition research network (FG-NET) and craniofacial longitudinal morphological face aging databases. raSVM+ is a promising development that improves age estimation, with the mean absolute error reaching 4.07 on FG-NET.

  4. Risky Group Decision-Making Method for Distribution Grid Planning

    Science.gov (United States)

    Li, Cunbin; Yuan, Jiahang; Qi, Zhiqiang

    2015-12-01

    With rapid speed on electricity using and increasing in renewable energy, more and more research pay attention on distribution grid planning. For the drawbacks of existing research, this paper proposes a new risky group decision-making method for distribution grid planning. Firstly, a mixing index system with qualitative and quantitative indices is built. On the basis of considering the fuzziness of language evaluation, choose cloud model to realize "quantitative to qualitative" transformation and construct interval numbers decision matrices according to the "3En" principle. An m-dimensional interval numbers decision vector is regarded as super cuboids in m-dimensional attributes space, using two-level orthogonal experiment to arrange points uniformly and dispersedly. The numbers of points are assured by testing numbers of two-level orthogonal arrays and these points compose of distribution points set to stand for decision-making project. In order to eliminate the influence of correlation among indices, Mahalanobis distance is used to calculate the distance from each solutions to others which means that dynamic solutions are viewed as the reference. Secondly, due to the decision-maker's attitude can affect the results, this paper defines the prospect value function based on SNR which is from Mahalanobis-Taguchi system and attains the comprehensive prospect value of each program as well as the order. At last, the validity and reliability of this method is illustrated by examples which prove the method is more valuable and superiority than the other.

  5. Multi-Attribute Auctioning Resource in Grids: Model and Protocols

    Directory of Open Access Journals (Sweden)

    Lili Ding

    2013-10-01

    Full Text Available Auction models and protocols are found efficient in managing resources allocation, which are a key technology in grid computing system. In this paper, a new multi-attribute multi-round reverse auction is proposed, and related reverse auction based protocols are designed. The resource user’s satisfaction degree is introduced into the traditional grid resource allocation problem to help the grid resource broker make multi-attribute decisions with incomplete information. Numerical simulating experiments show that our model and protocols can satisfy the resource user’s quality demand on multiple attributes, and achieve high efficiency in user utility. The results also illustrate that the on-line multi-attribute algorithm in ONMRA protocol has better performance in an on-line setting for grid allocation.

  6. Defining the fascial system.

    Science.gov (United States)

    Adstrum, Sue; Hedley, Gil; Schleip, Robert; Stecco, Carla; Yucesoy, Can A

    2017-01-01

    Fascia is a widely used yet indistinctly defined anatomical term that is concurrently applied to the description of soft collagenous connective tissue, distinct sections of membranous tissue, and a body pervading soft connective tissue system. Inconsistent use of this term is causing concern due to its potential to confuse technical communication about fascia in global, multiple discipline- and multiple profession-spanning discourse environments. The Fascia Research Society acted to address this issue by establishing a Fascia Nomenclature Committee (FNC) whose purpose was to clarify the terminology relating to fascia. This committee has since developed and defined the terms a fascia, and, more recently, the fascial system. This article reports on the FNC's proposed definition of the fascial system. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. Defining Legal Moralism

    DEFF Research Database (Denmark)

    Thaysen, Jens Damgaard

    2015-01-01

    This paper discusses how legal moralism should be defined. It is argued that legal moralism should be defined as the position that “For any X, it is always a pro tanto reason for justifiably imposing legal regulation on X that X is morally wrong (where “morally wrong” is not conceptually equivalent...... to “harmful”)”. Furthermore, a distinction between six types of legal moralism is made. The six types are grouped according to whether they are concerned with the enforcement of positive or critical morality, and whether they are concerned with criminalising, legally restricting, or refraining from legally...... protecting morally wrong behaviour. This is interesting because not all types of legal moralism are equally vulnerable to the different critiques of legal moralism that have been put forth. Indeed, I show that some interesting types of legal moralism have not been criticised at all....

  8. Define Digital Vernacular

    Institute of Scientific and Technical Information of China (English)

    刘佳; 李海英; James Stevens; Rough Nelson

    2014-01-01

    As science and technology developed, the tools of humans developed from humans’hands, to mechanical and digital technologies. The tools influ-ence almost everything in the humans’world, so does vernacular. The digital vernacular could be understood as using digital technology to vernacular; the digital means technologies. It also could be understood as doing vernacular in a digital way;the digital means data and information, in other words it can be seeking truth from facts. Define digital vernacular is not only what is digital vernacular, but also about how to do the digital vernacular and what kind of attitude we should hold to-ward the digital vernacular. Define digital vernacular as both thinking and doing.

  9. Defining local food

    DEFF Research Database (Denmark)

    Eriksen, Safania Normann

    2013-01-01

    Despite evolving local food research, there is no consistent definition of “local food.” Various understandings are utilized, which have resulted in a diverse landscape of meaning. The main purpose of this paper is to examine how researchers within the local food systems literature define local...... food, and how these definitions can be used as a starting point to identify a new taxonomy of local food based on three domains of proximity....

  10. [To define internet addiction].

    Science.gov (United States)

    Tonioni, Federico

    2013-01-01

    Internet addiction is a new behavioral disorder difficult to define, especially when referring to young teenagers who make great use of web-mediated relationships. It's necessary to separate the cases of overt dependency on those in which the abuse of internet seems to have a different value, offering the only way to achieve the possible relationship. Internet is mediating a new way of communicating and thinking, this may favor the onset of clinical phenomena intended to surprise.

  11. Decidability of definability

    CERN Document Server

    Tsankov, Manuel Bodirsky; Michael Pinsker; Todor

    2010-01-01

    For a fixed infinite structure $\\Gamma$ with finite signature $\\tau$, we study the following computational problem: Input are quantifier-free first-order $\\tau$-formulas $\\phi_0,\\phi_1,\\dots,\\phi_n$ that define relations $R_0,R_1,\\dots,R_n$ over $\\Gamma$. The question is whether the relation $R_0$ is primitive positive definable from $R_1,\\ldots,R_n$, i.e., definable by a first-order formula that uses only relation symbols for $R_1, \\dots, R_n$, equality, conjunctions, and existential quantification (disjunction, negation, and universal quantification are forbidden). We show decidability of this problem for all structures $\\Gamma$ that have a first-order definition in an ordered homogeneous structure $\\Delta$ with a finite language whose age is a Ramsey class and determined by finitely many forbidden substructures. Examples for structures $\\Gamma$ with this property are the order of the rationals, the random graph, the homogeneous universal poset, the random tournament, all homogeneous universal $C$-relations...

  12. Spatial correlations in attribute communities.

    Directory of Open Access Journals (Sweden)

    Federica Cerina

    Full Text Available Community detection is an important tool for exploring and classifying the properties of large complex networks and should be of great help for spatial networks. Indeed, in addition to their location, nodes in spatial networks can have attributes such as the language for individuals, or any other socio-economical feature that we would like to identify in communities. We discuss in this paper a crucial aspect which was not considered in previous studies which is the possible existence of correlations between space and attributes. Introducing a simple toy model in which both space and node attributes are considered, we discuss the effect of space-attribute correlations on the results of various community detection methods proposed for spatial networks in this paper and in previous studies. When space is irrelevant, our model is equivalent to the stochastic block model which has been shown to display a detectability-non detectability transition. In the regime where space dominates the link formation process, most methods can fail to recover the communities, an effect which is particularly marked when space-attributes correlations are strong. In this latter case, community detection methods which remove the spatial component of the network can miss a large part of the community structure and can lead to incorrect results.

  13. Attribution of blame in incest.

    Science.gov (United States)

    Jackson, T L; Ferguson, W P

    1983-06-01

    This study was designed to identify the empirical structure of attitudes relating to attribution of blame in incest. A second purpose was to determine how variables such as gender, physically abused status, and sexually abused status influence the attribution of blame in incest. A sample of 201 male and 211 female college students was administered the Jackson Incest Blame Scale. Four factors emerged from the factor analysis of the total sample supporting the hypothesis that attribution of blame in incest is a multidimensional construct including victim, offender, situational, and societal factors. A difference in the level of victim blame was found between male and female samples. Results are discussed with regard to their implications for further research and training. Other potential uses of the Jackson Incest Blame Scale are suggested.

  14. Attribution style of patients with delusion disorder

    Directory of Open Access Journals (Sweden)

    Leposavić Ivana

    2006-01-01

    Full Text Available Introduction. Attribution style represents a tendency to explain events by our own actions, or actions of forces and causes, persons or surroundings, which are external. Objective. The objective of our study was the analysis of specific way in which patients with delusion disorders ascribe meanings to events. Method. The test group included 30 patients with delusional disorder, of both sexes, aged between 30 and 53, without serious organic or somatic disorders. In order to determine the specific attribution system, through a wider frame of cognitive style, Rorschach’s cognitive techniques was applied. RESULTS An average value of MMSE score amounted to 28.43 and IQ - to 103.86. The data were evaluated by Comprehensive interpretation system of John Exner, and only those parameters were used that were the most indicative for this analysis. Patients with delusional disorder belonged to ambitent experience type, which pointed to inconsistency because the role of emotions varied during the process of decision making. Processing quality was temporarily significantly reduced to less mature and unsophisticated level, especially in complex situations. Thinking was strongly fixed and inflexible. More than other people, they applied intellectualization in order to annihilate affective experiences, leading thus to delusional thinking disorder in extreme cases. Sometimes, internal conflicts between high self value and awareness that it might not be valid, could lead to delusional expressions, if the environment was especially unsupportive. Conclusion. Attribution style of patients with DD is externalized and implies the ascribing of negative experiences to another person’s action. Marked self-centering and experience of increased personal value dominate over the perception of the environment in these patients, while discrepancy between real self and an ideal is decreased by specific ascribing.

  15. Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach

    Directory of Open Access Journals (Sweden)

    Jorge L. García-Alcaraz

    2016-02-01

    Full Text Available Usually, agricultural tractor investments are assessed using traditional economic techniques that only involve financial attributes, resulting in reductionist evaluations. However, tractors have qualitative and quantitative attributes that must be simultaneously integrated into the evaluation process. This article reports a hybrid and multi-attribute approach to assessing a set of agricultural tractors based on AHP-TOPSIS. To identify the attributes in the model, a survey including eighteen attributes was given to agricultural machinery salesmen and farmers for determining their importance. The list of attributes was presented to a decision group for a case of study, and their importance was estimated using AHP and integrated into the TOPSIS technique. In this case, one tractor was selected from a set of six alternatives, integrating six attributes in the model: initial cost, annual maintenance cost, liters of diesel per hour, safety of the operator, maintainability and after-sale customer service offered by the supplier. Based on the results obtained, the model can be considered easy to apply and to have good acceptance among farmers and salesmen, as there are no special software requirements for the application.

  16. Cynicism about organizational change: an attribution process perspective.

    Science.gov (United States)

    Wanous, John P; Reichers, Arnon E; Austin, James T

    2004-06-01

    The underlying attribution process for cynicism about organizational change is examined with six samples from four different organizations. The samples include hourly (n=777) and salaried employees (n= 155) from a manufacturing plant, faculty (n=293) and staff (n=302) from a large university, managers from a utility company (n=97), and young managers (n=65) from various organizations who were attending an evening MBA program. This form of cynicism is defined as the combination of Pessimism (about future change efforts) and a Dispositional attribution (why past efforts to change failed). Three analyses support this definition. First, an exploratory factor analysis (from the largest sample) produced two factors, one composed of Pessimism and the Dispositional attribution items and the second of the Situational attribution items. Second, the average correlation (across several samples) between Pessimism and Dispositional attribution is much higher (.59) than the average correlation between Pessimism and Situational attribution (.17). Third, scores on two different trait-based measures of cynicism correlate highest with the Dispositional attribution component of cynicism. A practical implication is that organizational leaders may minimize cynicism by managing both employees' pessimism about organizational change and employees' attributions about it. Specific suggestions for how this might be done are offered.

  17. Transacting generation attributes across market boundaries: Compatible information systems and the treatment of imports and exports

    Energy Technology Data Exchange (ETDEWEB)

    Grace, Robert; Wiser, Ryan

    2002-11-01

    -border renewable transactions, this report develops criteria for ''compatible information systems.'' Where fully compatible information systems do not exist, certain cross-border attribute transactions may still be deemed suitably credible and verifiable to be recognized; this report also identifies possible criteria for such ''compatible transactions.'' The importance of credibly addressing imports and exports of renewable energy attributes should be evident. A lack of clarity as to what generation can and cannot be recognized in various markets can paralyze investment in and contracting for renewable generation. The development of rules for imports and exports will also minimize the potential for ''double counting'' of renewable energy attributes, will help define where and at what cost renewable plants will be built, and will directly impact the location of the benefits that renewable generation provides. This report ultimately concludes that the ''correct'' approach to treating renewable energy imports and exports depends on the context and motivations behind the transaction or the mandate, and that the presence of practical constraints or multiple objectives of ten make selecting the best approach difficult. That said, the report urges those creating market rules to move quickly in defining valid cross-border transaction structures and to consider the implications of their decisions on the creation of viable markets for new renewable generation.

  18. Defining Z in Q

    CERN Document Server

    Koenigsmann, Jochen

    2010-01-01

    We show that ${\\mathbb Z}$ is definable in ${\\mathbb Q}$ by a universal first-order formula in the language of rings. We also present an $\\forall\\exists$-formula for ${\\mathbb Z}$ in ${\\mathbb Q}$ with just one universal quantifier. We exhibit new diophantine subsets of ${\\mathbb Q}$ like the set of non-squares or the complement of the image of the norm map under a quadratic extension. Finally, we show that there is no existential formula for ${\\mathbb Z}$ in ${\\mathbb Q}$, provided one assumes a strong variant of the Bombieri-Lang Conjecture for varieties over ${\\mathbb Q}$ with many ${\\mathbb Q}$-rational points.

  19. Failing Decision

    DEFF Research Database (Denmark)

    Knudsen, Morten

    2014-01-01

    as a controlled cost for achieving organizational goals. Decisions must fail so the organization can succeed. This chapter uses two cases to elaborate on these ideas. By way of introduction, I will reflect on the notion of ‘failing decisions’ within organization and decision theory. This chapter is also propelled...... deals not with traffic delays, but with failing decisions in organizations. The assumption of this chapter is that failing decisions today are as normal as delayed trains. Instead of being the exception, failure is part of the everyday reproduction of organizations – as an uncontrolled effect but also...... by an interest in failure as one way of improving understanding of present-day decision making in organizations....

  20. Software-Defined Cluster

    Institute of Scientific and Technical Information of China (English)

    聂华; 杨晓君; 刘淘英

    2015-01-01

    The cluster architecture has played an important role in high-end computing for the past 20 years. With the advent of Internet services, big data, and cloud computing, traditional clusters face three challenges: 1) providing flexible system balance among computing, memory, and I/O capabilities;2) reducing resource pooling overheads;and 3) addressing low performance-power efficiency. This position paper proposes a software-defined cluster (SDC) architecture to deal with these challenges. The SDC architecture inherits two features of traditional cluster: its architecture is multicomputer and it has loosely-coupled interconnect. SDC provides two new mechanisms: global I/O space (GIO) and hardware-supported native access (HNA) to remote devices. Application software can define a virtual cluster best suited to its needs from resources pools provided by a physical cluster, and traditional cluster ecosystems need no modification. We also discuss a prototype design and implementation of a 32-processor cloud server utilizing the SDC architecture.

  1. Criterial Attributes of Interpersonal Solidarity.

    Science.gov (United States)

    Prisbell, Marshall

    An investigation was undertaken to further the conceptual and operational nature of interpersonal solidarity. Specifically, the investigation considered additional criterial attributes of solidarity to those previously studied by L. R. Wheeless. The sample consisted of 162 adults drawn from elementary and secondary school teachers, college…

  2. SOA: A Quality Attribute Perspective

    Science.gov (United States)

    2011-06-23

    JMS) – CORBA … • Infrastructure services available to service providers and/or service consumers to perform common tasks or satisfy QoS requirements...Services is one technology for SOA implementation SOA and Quality Attributes SOA WS* Web Services CORBA REST Services and POX Key Class Realization

  3. Subspace clustering through attribute clustering

    Institute of Scientific and Technical Information of China (English)

    Kun NIU; Shubo ZHANG; Junliang CHEN

    2008-01-01

    Many recently proposed subspace clustering methods suffer from two severe problems. First, the algorithms typically scale exponentially with the data dimensionality or the subspace dimensionality of clusters. Second, the clustering results are often sensitive to input parameters. In this paper, a fast algorithm of subspace clustering using attribute clustering is proposed to over-come these limitations. This algorithm first filters out redundant attributes by computing the Gini coefficient. To evaluate the correlation of every two non-redundant attributes, the relation matrix of non-redundant attributes is constructed based on the relation function of two dimensional united Gini coefficients. After applying an overlapping clustering algorithm on the relation matrix, the candidate of all interesting subspaces is achieved. Finally, all subspace clusters can be derived by clustering on interesting subspaces. Experiments on both synthesis and real datasets show that the new algorithm not only achieves a significant gain of runtime and quality to find subspace clusters, but also is insensitive to input parameters.

  4. Temporal context for authorship attribution

    DEFF Research Database (Denmark)

    Hansen, Niels Dalum; Lioma, Christina; Larsen, Birger;

    2014-01-01

    A study of temporal aspects of authorship attribution - a task which aims to distinguish automatically between texts written by different authors by measuring textual features. This task is important in a number of areas, including plagiarism detection in secondary education, which we study...

  5. Implementing Software Defined Radio

    CERN Document Server

    Grayver, Eugene

    2013-01-01

    Software Defined Radio makes wireless communications easier, more efficient, and more reliable. This book bridges the gap between academic research and practical implementation. When beginning a project, practicing engineers, technical managers, and graduate students can save countless hours by considering the concepts presented in these pages. The author covers the myriad options and trade-offs available when selecting an appropriate hardware architecture. As demonstrated here, the choice between hardware- and software-centric architecture can mean the difference between meeting an aggressive schedule and bogging down in endless design iterations. Because of the author’s experience overseeing dozens of failed and successful developments, he is able to present many real-life examples. Some of the key concepts covered are: Choosing the right architecture for the market – laboratory, military, or commercial Hardware platforms – FPGAs, GPPs, specialized and hybrid devices Standardization efforts to ens...

  6. Defining cyber warfare

    Directory of Open Access Journals (Sweden)

    Dragan D. Mladenović

    2012-04-01

    Full Text Available Cyber conflicts represent a new kind of warfare that is technologically developing very rapidly. Such development results in more frequent and more intensive cyber attacks undertaken by states against adversary targets, with a wide range of diverse operations, from information operations to physical destruction of targets. Nevertheless, cyber warfare is waged through the application of the same means, techniques and methods as those used in cyber criminal, terrorism and intelligence activities. Moreover, it has a very specific nature that enables states to covertly initiate attacks against their adversaries. The starting point in defining doctrines, procedures and standards in the area of cyber warfare is determining its true nature. In this paper, a contribution to this effort was made through the analysis of the existing state doctrines and international practice in the area of cyber warfare towards the determination of its nationally acceptable definition.

  7. Assessing the Attributes which Influence Pharmacy School Selection Utilizing the Freshman Pharmacy Student Survey.

    Science.gov (United States)

    Roche, Victoria F.; And Others

    1987-01-01

    Analysis of data indicates that student-centered, as opposed to institution-centered or program-centered, attributes have a greater impact on the student's decision-making process when selecting a pharmacy school. Significant differences in attribute influence based on demographic variables are presented. (Author/MLW)

  8. Organizational Attributes, Market Growth, and Product Innovation

    NARCIS (Netherlands)

    Song, Michael; Chen, Yan

    2014-01-01

    Extensive research has shown that organizational attributes affect product innovation. Extending this literature, this article delimits two general categories of organizational attributes and relates them to product innovation. Organizational attributes can be either control oriented or flexibility

  9. Organizational Attributes, Market Growth, and Product Innovation

    NARCIS (Netherlands)

    Song, Michael; Chen, Yan

    2014-01-01

    Extensive research has shown that organizational attributes affect product innovation. Extending this literature, this article delimits two general categories of organizational attributes and relates them to product innovation. Organizational attributes can be either control oriented or flexibility

  10. The Characteristics of Attributes in English

    Institute of Scientific and Technical Information of China (English)

    Deng Hui

    2008-01-01

    This essay focuses on two aspects.One is the characteristic of attribute.The other is concern with some points of using attributes in English.This understanding contributes to using attributes correctly both in written and spoken English.

  11. HOW LABELING OF SAFETY AND PROCESS ATTRIBUTES AFFECTS MARKETS FOR FOOD

    OpenAIRE

    Julie A Caswell

    1998-01-01

    Consumers are increasingly considering information on the safety and process (how foods are produced) attributes of food in making their buying decisions. Producers, processors, and retailers may choose voluntary labeling of these attributes, may be required to label by government regulations, or may use a combination of these approaches. The market effects depend on consumer perceptions of the attributes, the benefits and costs of labeling for companies, and the goals of government policy. T...

  12. Attribute Exploration of Gene Regulatory Processes

    CERN Document Server

    Wollbold, Johannes

    2012-01-01

    This thesis aims at the logical analysis of discrete processes, in particular of such generated by gene regulatory networks. States, transitions and operators from temporal logics are expressed in the language of Formal Concept Analysis. By the attribute exploration algorithm, an expert or a computer program is enabled to validate a minimal and complete set of implications, e.g. by comparison of predictions derived from literature with observed data. Here, these rules represent temporal dependencies within gene regulatory networks including coexpression of genes, reachability of states, invariants or possible causal relationships. This new approach is embedded into the theory of universal coalgebras, particularly automata, Kripke structures and Labelled Transition Systems. A comparison with the temporal expressivity of Description Logics is made. The main theoretical results concern the integration of background knowledge into the successive exploration of the defined data structures (formal contexts). Applyi...

  13. An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree

    Directory of Open Access Journals (Sweden)

    Bo Suk Yang

    2000-01-01

    Full Text Available This paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many diverse areas such as character recognition, medical diagnosis, and expert systems, etc. In order to build a decision tree for vibration diagnosis, we have to define classes and attributes. A set of cases based on past experiences is also needed. This training set is inducted using a result-cause matrix newly developed in the present work instead of using a conventionally implemented cause-result matrix. This method was applied to diagnostics for various cases taken from published work. It is found that the present method predicts causes of the abnormal vibration for test cases with high reliability.

  14. Disease proportions attributable to environment

    Directory of Open Access Journals (Sweden)

    Vineis Paolo

    2007-11-01

    Full Text Available Abstract Population disease proportions attributable to various causal agents are popular as they present a simplified view of the contribution of each agent to the disease load. However they are only summary figures that may be easily misinterpreted or over-interpreted even when the causal link between an exposure and an effect is well established. This commentary discusses several issues surrounding the estimation of attributable proportions, particularly with reference to environmental causes of cancers, and critically examines two recently published papers. These issues encompass potential biases as well as the very definition of environment and of environmental agent. The latter aspect is not just a semantic question but carries implications for the focus of preventive actions, whether centred on the material and social environment or on single individuals.

  15. Mathematicians, Attributional Complexity, and Gender

    Science.gov (United States)

    Stalder, Daniel R.

    Given indirect indications in sex role and soda! psychology research that mathematical-deductive reasoning may negatively relate to social acuity, Study 1 investigated whether mathematicians were less attributionally complex than nonmathematicians. Study 1 administered the Attributional Complexity Scale, a measure of social acuity, to female and male faculty members and graduate students in four Midwestern schools. Atlrihutional complexity (AC) is the ability and motivation to give complex explanations for behavior. Study 1 found a significant interaction between field and gender. Only among women did mathematicians score lower on AC. In addition, an established gender difference in AC (that women score higher than men) was present only among nonmathematicians. Studies 2 and 3 offered some preliminary support for the possibility that it is generally female students who score tow on AC who aspire to he mathematicians and for the underlying view that female students' perceived similarity to mathematicians can influence their vocational choices.

  16. Defining the Anthropocene

    Science.gov (United States)

    Lewis, Simon; Maslin, Mark

    2016-04-01

    Time is divided by geologists according to marked shifts in Earth's state. Recent global environmental changes suggest that Earth may have entered a new human-dominated geological epoch, the Anthropocene. Should the Anthropocene - the idea that human activity is a force acting upon the Earth system in ways that mean that Earth will be altered for millions of years - be defined as a geological time-unit at the level of an Epoch? Here we appraise the data to assess such claims, first in terms of changes to the Earth system, with particular focus on very long-lived impacts, as Epochs typically last millions of years. Can Earth really be said to be in transition from one state to another? Secondly, we then consider the formal criteria used to define geological time-units and move forward through time examining whether currently available evidence passes typical geological time-unit evidence thresholds. We suggest two time periods likely fit the criteria (1) the aftermath of the interlinking of the Old and New Worlds, which moved species across continents and ocean basins worldwide, a geologically unprecedented and permanent change, which is also the globally synchronous coolest part of the Little Ice Age (in Earth system terms), and the beginning of global trade and a new socio-economic "world system" (in historical terms), marked as a golden spike by a temporary drop in atmospheric CO2, centred on 1610 CE; and (2) the aftermath of the Second World War, when many global environmental changes accelerated and novel long-lived materials were increasingly manufactured, known as the Great Acceleration (in Earth system terms) and the beginning of the Cold War (in historical terms), marked as a golden spike by the peak in radionuclide fallout in 1964. We finish by noting that the Anthropocene debate is politically loaded, thus transparency in the presentation of evidence is essential if a formal definition of the Anthropocene is to avoid becoming a debate about bias. The

  17. Analysis of Consumer Attitude Using Fishbein Multi-Attributes Approach

    Directory of Open Access Journals (Sweden)

    Abdullah Ramdhani

    2012-07-01

    Full Text Available The development of today's economy growing rapidly, accompanied by increasingly sophisticated technological advances that led to the emergence of competition among firms.Increasing number of motorcycle brand in circulation led to a very tight competition in the motorcycle market, particularly in the type of motorcycle. This makes the consumer faced with various choices of brands, so the motorcycle manufacturers need to know the tastes and desires of consumers to create and sell a motorcycle can be favored by consumers. The purpose of this study were to determine what attributes are considered important by consumers to the product brand motorcycle Honda, Yamaha, and Suzuki, and to assess consumer attitudes toward product attributes motorcycle Honda, Yamaha, and Suzuki, The model used is multi-attribute attitude model of Fishbein Attitude Toward To Object Model and the Theory Of Reasoned Action. The results of this study indicate that (1 that are considered important attributes are attached to the product brand motorcycle Honda, Yamaha, and Suzuki is the attribute Price has the highest positive score compared * with a score of other attributes for each of the Honda brand motorcycle , Yamaha, and Suzuki. (2 consumer attitudes showed a positive attitude in which the score for the Honda is +60.03, +56.14 Yamaha, and Suzuki is +55.00. (3 the dominant factor influencing purchasing decisions motorcycle products for the Honda brand is a member of the family, while for the brand Yamaha, and Suzuki are the others

  18. Defining the Attributes of a CBRN Human Response Model: Findings and Conclusions

    Science.gov (United States)

    2009-08-01

    countermeasures, such as vaccination or antibiotic prophylaxis; the spread of disease from the release of an agent that is human-to-human contagious; or...pre- or post-exposure use of antibiotics , antivirals, immunoglobulins/antitoxins, and active immunoprophylaxis by immunization. In the context of... equine encephalitis, pertussis, measles, hepatitis, VHF, rabies, plague, burkholderia, and SEB. Two noted that biological agents might be less of a

  19. Defining obesity: second-level agenda setting attributes in black newspapers and general audience newspapers.

    Science.gov (United States)

    Lee, Hyunmin; Len-Ríos, María E

    2014-01-01

    This content analysis study examines how obesity is depicted in general-audience and Black newspaper stories (N=391) through the lens of second-level agenda setting theory. The results reveal that both Black newspapers and general-audience newspapers generally ascribe individual causes for obesity. While both types of newspapers largely neglected to mention solutions for the problem, Black newspapers were more likely than general-audience newspapers to suggest both individual and societal solutions for treating obesity. For Black newspapers, these solutions more often included community interventions. In addition, Black newspapers more often used a negative tone in stories and more frequently mentioned ethnic and racial minorities as at-risk groups.

  20. Mental and physical attributes defining world-class Norwegian athletes: content analysis of interviews.

    Science.gov (United States)

    Boes, R; Harung, H S; Travis, F; Pensgaard, A M

    2014-04-01

    This study reports the results of a content analysis of interviews with 28 Norwegian world-class athletes and 28 controls, matched for gender, age, and type of sport. Semi-structured interviews explored their perceptions of their best performance. The interviews were analyzed using the ATLAS.ti and yielded 20 higher-order codes. Nine higher-order codes were categorized as inner-oriented, five were categorized as outer-oriented, and six were a combination of inner- and outer-oriented. Statistical analysis, using the Mann-Whitney test, showed significant group differences for seven higher-order codes: (a) two outer-oriented codes relating to "mastery--achievements" and "training--outer"; and (b) five inner-oriented codes relating to "mental preparation," "self-reliance," "training--inner," "wholeness," "performance--inner," and "growth orientation." These findings highlight the importance of both inner- and outer-oriented development for high-level achievement in sports--the "mental game" is as important as the physical game, both during training and competitions. Previously published quantitative data reported higher levels of brain integration, faster habitation to a loud tone, and higher ego and moral development in these world-class athletes. These findings are interpreted in light of a Unified Theory of Performance, which proposes that higher mind-brain development provides a basis for higher performance in any activity.

  1. Morphosemantic Attributes of Meetei Proverbs

    Directory of Open Access Journals (Sweden)

    Lourembam Surjit Singh

    2015-06-01

    Full Text Available This study proposes to investigate the functions of morphosemantic in Meetei proverbs, particularly the attribution of different meanings of the lexical items in Meetei Proverbial verbs. Meetei society has been using proverbs in the all ages, stages of development, social changes, and cultural diversifications to mark their wisdom of social expertise. Meetei used proverbs as an important aspect of verbal discourses within the socio-cultural and ethno-civilization contexts in which skills, knowledge, ideas, emotion, and experiences are communicating. The language used in proverbs reflects the Meetei’s status of life, food habits, belief systems, philosophy, cultural and social orientations. At the same time, various meanings attribute in Meetei proverbs in the forms of figurative, witty, pithy, didactic etc. The construction of these forms are grammatically insightful thereby creating spaces for a whole range of possibilities for investigating the features, functions and structure of verbal inflectional markers occurred in Meetei proverbial sentences. Keywords: Proverbs, morphosemantics, features of lexical items, attributes of meanings and language

  2. A Novel Multiple Attribute Satisfaction Evaluation Approach with Hesitant Intuitionistic Linguistic Fuzzy Information

    Directory of Open Access Journals (Sweden)

    Shanghong Yang

    2014-01-01

    Full Text Available This paper investigates the multiple attribute decision making (MADM problems in which the attribute values take the form of hesitant intuitionistic linguistic fuzzy element (HILFE. Firstly, motivated by the idea of intuitionistic linguistic variables (ILVs and hesitant fuzzy elements (HFEs, the concept, operational laws, and comparison laws of HILFE are defined. Then, some aggregation operators are developed for aggregating the hesitant intuitionistic linguistic fuzzy information, such as hesitant intuitionistic linguistic fuzzy weighted aggregation operators, hesitant intuitionistic linguistic fuzzy ordered weighted aggregation operators, and generalized hesitant intuitionistic linguistic fuzzy weighted aggregation operators. Moreover, some desirable properties of these operators and the relationships between them are discussed. Based on the hesitant intuitionistic linguistic fuzzy weighted average (HILFWA operator and the hesitant intuitionistic linguistic fuzzy weighted geometric (HILFWG operator, an approach for evaluating satisfaction degree is proposed under hesitant intuitionistic linguistic fuzzy environment. Finally, a practical example of satisfaction evaluation for milk products is given to illustrate the application of the proposed method and to demonstrate its practicality and effectiveness.

  3. A Method for Proposing Valued-Adding Attributes in Customized Housing

    Directory of Open Access Journals (Sweden)

    Cynthia S. Hentschke

    2014-12-01

    Full Text Available In most emerging economies, there has been many incentives and high availability of funding for low-cost housing projects. This has encouraged product standardization and the application of mass production ideas, based on the assumption that this is the most effective strategy for reducing costs. However, the delivery of highly standardized housing units to customers with different needs, without considering their lifestyle and perception of value, often results in inadequate products. Mass customization has been pointed out as an effective strategy to improve value generation in low-cost housing projects, and to avoid waste caused by renovations done in dwellings soon after occupancy. However, one of the main challenges for the implementation of mass customization is the definition of a set of relevant options based on users’ perceived value. The aim of this paper is to propose a method for defining value adding attributes in customized housing projects, which can support decision-making in product development. The means-end chain theory was used as theoretical framework to connect product attributes and costumers’ values, through the application of the laddering technique. The method was tested in two house-building projects delivered by a company from Brazil. The main contribution of this method is to indicate the customization units that are most important for users along with the explanation of why those units are the most relevant ones.

  4. 基于粗糙集的复合属性铁路旅客出行决策影响因素分析与权重计算%Rough Set Theory Based Travel Decision-making Factor Analysis and Weight Calculation for Railway Passengers of Compound Attributes

    Institute of Scientific and Technical Information of China (English)

    冯运卿; 李雪梅; 李学伟

    2014-01-01

    Firstly,the degree of satisfaction was used as the evaluation factor that affected decision-making of passenger travel.The railway passenger satisfaction evaluation index system was established in respect of econ-omy,rapidity,comfort,convenience,safety,service and punctuality.Secondly,the passenger travel satisfac-tion evaluation questionnaire was designed to conduct investigations and analysis was made on reliability and va-lidity.Thirdly,on the principle of market segmentation,the passengers were divided into 1 2 categories from the double-attribute angle of the travel purpose and the monthly income.On the basis of the survey data,the passenger satisfaction evaluation knowledge system was established.The rough set theory was applied to screen the key factors affecting passenger travel satisfaction.The weight preferences of the twelve kinds of pas-sengers for each factor affecting passenger travel satisfaction were calculated and compared.Finally,according to different weight preferences for different affecting factors,the twelve kinds of passengers were merged into passengers of the four types of characters,i.e.,efficiency,economy,leisure-enj oying and high-level service. The personalized service marketing strategy was put forward for different kinds of passengers.%首先,本文将满意度作为影响旅客出行决策的评价因子,从经济、快速、舒适、便捷、安全、服务、准时7个方面建立铁路旅客出行满意评价指标体系;其次,设计旅客出行满意度评价调查问卷,进行问卷调研,并对调研数据进行信度、效度分析;再次,根据市场细分原则,从出行目的和月收入双重属性角度将旅客划分为12类,以调研数据为基础构建旅客出行满意评价知识系统,运用粗糙集理论筛选影响旅客出行满意的关键因素,计算并对比分析12种类型的旅客对出行满意影响因素的权重偏向;最后,根据12种类型旅客对不同满意因素

  5. Attribute-Based Encryption with Partially Hidden Ciphertext Policies

    Science.gov (United States)

    Nishide, Takashi; Yoneyama, Kazuki; Ohta, Kazuo

    We propose attribute-based encryption schemes where encryptor-specified policies (called ciphertext policies) are hidden. By using our schemes, an encryptor can encrypt data with a hidden access control policy. A decryptor obtains her secret key associated with her attributes from a trusted authority in advance and if the attributes associated with the decryptor's secret key do not satisfy the access control policy associated with the encrypted data, the decryptor cannot decrypt the data or guess even what access control policy was specified by the encryptor. We prove security of our construction based on the Decisional Bilinear Diffie-Hellman assumption and the Decision Linear assumption. In our security notion, even the legitimate decryptor cannot obtain the information about the access control policy associated with the encrypted data more than the fact that she can decrypt the data.

  6. A General Attribute and Rule Based Role-Based Access Control Model

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Growing numbers of users and many access control policies which involve many different resource attributes in service-oriented environments bring various problems in protecting resource. This paper analyzes the relationships of resource attributes to user attributes in all policies, and propose a general attribute and rule based role-based access control(GAR-RBAC) model to meet the security needs. The model can dynamically assign users to roles via rules to meet the need of growing numbers of users. These rules use different attribute expression and permission as a part of authorization constraints, and are defined by analyzing relations of resource attributes to user attributes in many access policies that are defined by the enterprise. The model is a general access control model, and can support many access control policies, and also can be used to wider application for service. The paper also describes how to use the GAR-RBAC model in Web service environments.

  7. A neuroimaging investigation of attribute framing and individual differences.

    Science.gov (United States)

    Murch, Kevin B; Krawczyk, Daniel C

    2014-10-01

    Functional magnetic resonance imaging was used to evaluate the neural basis of framing effects. We tested the reflexive and reflective systems model of social cognition as it relates to framing. We also examined the relationships among frame susceptibility, intelligence and personality measures. Participants evaluated whether personal attributes applied to themselves from multiple perspectives and in positive and negative frames. Participants rated whether each statement was descriptive or not and endorsed positive frames more than negative frames. Individual differences on frame decisions enabled us to form high and low frame susceptibility groups. Endorsement of frame-consistent attributes was associated with personality factors, cognitive reflection and intelligence. Reflexive brain regions were associated with positive frames while reflective areas were associated with negative frames. Region of Interest analyses showed that frame-inconsistent responses were associated with increased activation within reflective cognitive control regions including the left dorsolateral prefrontal cortex (PFC), dorsomedial PFC and left ventrolateral PFC. Frame-consistent responses were associated with increased activation in the right orbitofrontal cortex. These results demonstrate that individual differences in frame susceptibility influence personal attribute evaluations. Overall, this study clarifies the neural correlates of the reflective and reflexive systems of social cognition as applied to decisions about social attributions.

  8. On defining dietary fibre.

    Science.gov (United States)

    DeVries, Jonathan W

    2003-02-01

    Establishing a definition for dietary fibre has historically been a balance between nutrition knowledge and analytical method capabilities. While the most widely accepted physiologically-based definitions have generally been accurate in defining the dietary fibre in foods, scientists and regulators have tended, in practice, to rely on analytical procedures as the definitional basis in fact. As a result, incongruities between theory and practice have resulted in confusion regarding the components that make up dietary fibre. In November 1998 the president of the American Association of Cereal Chemists (AACC) appointed an expert scientific review committee and charged it with the task of reviewing and, if necessary, updating the definition of dietary fibre. The committee was further charged with assessing the state of analytical methodology and making recommendations relevant to the updated definition. After due deliberation, an updated definition of dietary fibre was delivered to the AACC Board of Directors for consideration and adoption (Anon, 2000; Jones 2000b). The updated definition includes the same food components as the historical working definition used for approximately 30 years (a very important point, considering that the majority of the research of the past 30 years delineating the positive health effects of dietary fibre is based on that working definition). However, the updated definition more clearly delineates the make-up of dietary fibre and its physiological functionality. As a result, relatively few changes will be necessary in analytical methodology. Current methodologies, in particular AACC-approved method of analysis 32-05 (Grami, 2000), Association of Official Analytical Chemists' official method of analysis 985.29 (Horwitz, 2000a) or AACC 32-07 (Grami, 2000) Association of Official Analytical Chemists 991.43 (Horwitz, 2000a) will continue to be sufficient and used for most foods. A small number of additional methods will be necessary to

  9. Assessing the importance of factors determining decision-making by actors involved in innovation processes

    NARCIS (Netherlands)

    Heerkens, Hans

    2006-01-01

    Innovations can be seen as chains of non-routine decisions. With each decision, the innovator has to assess how important the various decision attributes are. Because the decisions are non-routine, innovators cannot fall back on judgements of past importance. Most decision support methods elicit imp

  10. Detection and attribution of extreme weather disasters

    Science.gov (United States)

    Huggel, Christian; Stone, Dáithí; Hansen, Gerrit

    2014-05-01

    Single disasters related to extreme weather events have caused loss and damage on the order of up to tens of billions US dollars over the past years. Recent disasters fueled the debate about whether and to what extent these events are related to climate change. In international climate negotiations disaster loss and damage is now high on the agenda, and related policy mechanisms have been discussed or are being implemented. In view of funding allocation and effective risk reduction strategies detection and attribution to climate change of extreme weather events and disasters is a key issue. Different avenues have so far been taken to address detection and attribution in this context. Physical climate sciences have developed approaches, among others, where variables that are reasonably sampled over climatically relevant time periods and related to the meteorological characteristics of the extreme event are examined. Trends in these variables (e.g. air or sea surface temperatures) are compared between observations and climate simulations with and without anthropogenic forcing. Generally, progress has been made in recent years in attribution of changes in the chance of some single extreme weather events to anthropogenic climate change but there remain important challenges. A different line of research is primarily concerned with losses related to the extreme weather events over time, using disaster databases. A growing consensus is that the increase in asset values and in exposure are main drivers of the strong increase of economic losses over the past several decades, and only a limited number of studies have found trends consistent with expectations from climate change. Here we propose a better integration of existing lines of research in detection and attribution of extreme weather events and disasters by applying a risk framework. Risk is thereby defined as a function of the probability of occurrence of an extreme weather event, and the associated consequences

  11. Decision aids for people facing health treatment or screening decisions.

    Science.gov (United States)

    Stacey, Dawn; Légaré, France; Lewis, Krystina; Barry, Michael J; Bennett, Carol L; Eden, Karen B; Holmes-Rovner, Margaret; Llewellyn-Thomas, Hilary; Lyddiatt, Anne; Thomson, Richard; Trevena, Lyndal

    2017-04-12

    Decision aids are interventions that support patients by making their decisions explicit, providing information about options and associated benefits/harms, and helping clarify congruence between decisions and personal values. To assess the effects of decision aids in people facing treatment or screening decisions. Updated search (2012 to April 2015) in CENTRAL; MEDLINE; Embase; PsycINFO; and grey literature; includes CINAHL to September 2008. We included published randomized controlled trials comparing decision aids to usual care and/or alternative interventions. For this update, we excluded studies comparing detailed versus simple decision aids. Two reviewers independently screened citations for inclusion, extracted data, and assessed risk of bias. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made and the decision-making process.Secondary outcomes were behavioural, health, and health system effects.We pooled results using mean differences (MDs) and risk ratios (RRs), applying a random-effects model. We conducted a subgroup analysis of studies that used the patient decision aid to prepare for the consultation and of those that used it in the consultation. We used GRADE to assess the strength of the evidence. We included 105 studies involving 31,043 participants. This update added 18 studies and removed 28 previously included studies comparing detailed versus simple decision aids. During the 'Risk of bias' assessment, we rated two items (selective reporting and blinding of participants/personnel) as mostly unclear due to inadequate reporting. Twelve of 105 studies were at high risk of bias.With regard to the attributes of the choice made, decision aids increased participants' knowledge (MD 13.27/100; 95% confidence interval (CI) 11.32 to 15.23; 52 studies; N = 13,316; high-quality evidence), accuracy of risk perceptions (RR 2.10; 95% CI 1.66 to 2.66; 17 studies; N = 5096; moderate

  12. Rhetorical intentionality attribution: its ontogenesis in ordinary conversation.

    Science.gov (United States)

    Bonaiuto, M; Fasulo, A

    1997-12-01

    This paper addresses the assumption that the epistemological dichotomy between reality and its construction is an everyday rhetorical tool children and adults use in their explanations and arguments. Within a discursive psychology perspective, the phenomenon of attribution of rhetorical intentionality (AIR) is theoretically defined developing the notion of prepackaged interest attribution technique (Edwards & Potter, 1992). AIR consists in an explanation of others' discursive moves in terms of a rhetorical-argumentative activity; that is, in terms of a deliberate attempt aimed at construing and presenting reality as a function of the speaker's point of view, perspective and interests, in order to affect the listeners mental state (belief, knowledge, intention) or action. Theoretical links are made to the theory of mind paradigm in the study of intentionality attribution, particularly to the form of life approach which defines intentionality attribution in terms of language games. On this basis, the present study examines the structures and functions of AIR used by children and their parents in everyday conversation. Qualitative discourse analysis of transcripts of 22 dinner conversations from eight Italian families shows explicit and implicit AIR in children from three and a half to seven years of age. Moreover, parents attribute rhetorical intentionality to their children, contributing to their social construction as rhetorical speakers. AIR is used as a rhetorical strategy within disputes and argumentative contexts, often achieving topic closure. Results are discussed with reference to the ontological status of intentionalist talk.

  13. From Attribute Grammars to Constraint Handling Rules

    NARCIS (Netherlands)

    Serrano Mena, A.; Hage, J.

    2016-01-01

    Attribute grammars provide a framework to de ne compu- tations over trees, by decorating those trees with attributes. Attribute grammars have been successfully applied in many areas, including compiler construction and natural language processing. In this paper we present a translation of attribute

  14. The Aestetic and Perceived Attributes of Products

    DEFF Research Database (Denmark)

    Lenau, Torben Anker; Johnson, Kara; Ashby, M.F.

    2003-01-01

    . The character of a product depends on more than this – its technical attributes are a part, but so too are its aesthetic or perceived attributes. The aesthetic attributes are those to which the senses respond: touch, sight, sound, smell and even taste. Perceived attributes of a product – its style and its...

  15. Headache attributed to psychiatric disorders.

    Science.gov (United States)

    Guidetti, Vincenzo; Galli, Federica; Sheftell, Fred

    2010-01-01

    The association between psychiatric illness and headache is widely recognized. "Headache attributed to psychiatric disorder" is a new category of secondary headache introduced in the 2004 revision of the International Classification of Headache Disorders (ICHD-II) (Headache Classification Subcommittee of the International Headache Society, 2004). It represents a new, but not conclusive, step toward a better systematization of the topic "headache and psychological factors." From the early 1990s the involvement of psychological factors in headache disorders has been clearly identified as "psychiatric comorbidity." The current conceptualization of the term implies an association, more than casual, but likely not causal, between an index disease or disorder and one or more coexisting physical or psychological pathologies. Additionally, clarifying the direction, meaning, and weight of comorbidities has pathophysiological, nosological, course, and treatment implications. However, the study of comorbidity may present a series of difficulties related to the current understanding of the etiology and pathophysiology of diseases at the center of our attention. Sometimes, as happens in the subject of headache, we proceed against a background where many issues need to be clarified. In this chapter, we analyze the past and current literature, tracing the line from "migraine personality" to "psychiatric comorbidity" to "headache attributed to psychiatric disorders." Questions related to etiology, pathophysiology, and treatment options are discussed for different headache subtypes.

  16. Control of System with Defined Risk Level

    Directory of Open Access Journals (Sweden)

    Pavol Tomasov

    2002-01-01

    Full Text Available In the following paper the basic requirements for system control with defined risk level is presented. The paper should be an introduction to describe of theoretical apparatus, which was created during some years of research work in the Department of information and safety systems in this area. It a modification or creation of new parts of Information theory, System theory, and Control theory means. This parts are necessary for the analysis and synthesis tasks in the systems where dominant attribute of control is defined risk level. The basic problem is the creation of protect mechanism again the threats from inside and from controlled system environs. For each risk reduction mechanism is needed some redundancy which should be into control algorithm to put by exactly determined way.

  17. Time to decision: the drivers of innovation adoption decisions

    Science.gov (United States)

    Ciganek, Andrew Paul; (Dave) Haseman, William; Ramamurthy, K.

    2014-03-01

    Organisations desire timeliness. Timeliness facilitates a better responsiveness to changes in an organisation's external environment to either attain or maintain competitiveness. Despite its importance, decision timeliness has not been explicitly examined. Decision timeliness is measured in this study as the time taken to commit to a decision. The research objective is to identify the drivers of decision timeliness in the context of adopting service-oriented architecture (SOA), an innovation for enterprise computing. A research model rooted in the technology-organisation-environment (TOE) framework is proposed and tested with data collected in a large-scale study. The research variables have been examined before in the context of adoption, but their applicability to the timeliness of innovation decision-making has not received much attention and their salience is unclear. The results support multiple hypothesised relationships, including the finding that a risk-oriented organisational culture as well as normative and coercive pressures accelerates decision timeliness. Top management support as well as the traditional innovation attributes (compatibility, relative advantage and complexity/ease-of-use) were not found to be significant when examining their influence on decision timeliness, which appears inconsistent with generally accepted knowledge and deserves further examination.

  18. Software Defined Radio Architecture Contributions to Next Generation Space Communications

    Science.gov (United States)

    Kacpura, Thomas J.; Eddy, Wesley M.; Smith, Carl R.; Liebetreu, John

    2015-01-01

    Space communications architecture concepts, comprising the elements of the system, the interactions among them, and the principles that govern their development, are essential factors in developing National Aeronautics and Space Administration (NASA) future exploration and science missions. Accordingly, vital architectural attributes encompass flexibility, the extensibility to insert future capabilities, and to enable evolution to provide interoperability with other current and future systems. Space communications architectures and technologies for this century must satisfy a growing set of requirements, including those for Earth sensing, collaborative observation missions, robotic scientific missions, human missions for exploration of the Moon and Mars where surface activities require supporting communications, and in-space observatories for observing the earth, as well as other star systems and the universe. An advanced, integrated, communications infrastructure will enable the reliable, multipoint, high-data-rate capabilities needed on demand to provide continuous, maximum coverage for areas of concentrated activity. Importantly, the cost/value proposition of the future architecture must be an integral part of its design; an affordable and sustainable architecture is indispensable within anticipated future budget environments. Effective architecture design informs decision makers with insight into the capabilities needed to efficiently satisfy the demanding space-communication requirements of future missions and formulate appropriate requirements. A driving requirement for the architecture is the extensibility to address new requirements and provide low-cost on-ramps for new capabilities insertion, ensuring graceful growth as new functionality and new technologies are infused into the network infrastructure. In addition to extensibility, another key architectural attribute of the space communication equipment's interoperability with other NASA communications

  19. Managerial Decision Making in Traffic

    Directory of Open Access Journals (Sweden)

    Teodor Perić

    2003-11-01

    Full Text Available Decision-making is defined as a selection of a certain actionamong several alternatives. It is the essence of planning, asin the managerial sense there is no plan until a decision of engagementof resources, reputation and direction of activities ismade. Decision-making is, in fact, only a step in planning, evenwhen it is performed quickly and without special consideration.It is what we all experience every day. It is one of the most fascinatingbiological activities and the subject of frightening implicationsfor the whole human race. Since various techniques improvethe system and the quality of managerial decision-making,they are classified into three assumptions: risk analysis, decision-making trees, and the theory of revealed preference. Allof these are based on the interaction of a certain number of importantvariables out of which many contain the elements ofuncertainty, but maybe also high level of probability.

  20. Organizational Decision

    DEFF Research Database (Denmark)

    Kreiner, Kristian

    2012-01-01

    in architectural competitions and claim that they reflect necessity more than vice. They are ways around the fundamental incommensurability of the alternative design proposals. The garbage can model is used as a framework for making sense of the observed counterintuitive ways of decision making. Its attempt...

  1. Evaluating the psychometric properties of the Jacelon Attributed Dignity Scale.

    Science.gov (United States)

    Jacelon, Cynthia S; Choi, Jeungok

    2014-09-01

    To develop and psychometrically test the Jacelon Attributed Dignity Scale (JADS). The JADS was designed to measure self-perceived attributed dignity in community-dwelling older adults. Attributed dignity was conceived of as a state characteristic of the self. The JADS is a short, positively scored, norm-referenced, evaluation index designed to measure self-perceived attributed dignity during the last week. Instrument development and testing including psychometric properties, internal consistency, factor structure, temporal stability and construct validity. Using a quota sample, 289 older adults (65-99 years old) were recruited from senior centres in western New England to complete the JADS, demographic information, the Self-Esteem Scale and the Social Desirability Scale during 2010-2011. Descriptive statistics, exploratory factor analysis, construct validity and temporal stability were evaluated. The resulting positively scored 18-item scale has four factors with high internal consistency for each factor and the entire scale. Construct validity was established by examining correlations with instruments that measured self-esteem and social desirability. Attributed dignity is a unique concept that is stable over time. The JADS is an 18-item Likert-scaled instrument designed to measure attributed dignity. Attributed dignity is a concept with four factors and is defined as a cognitive component of the self-connoting self-value, perceived value from others, self in relation to others and behaving with respect. The importance of attributed dignity for older adults in relation to health, function, independence, quality of life and successful ageing can now be evaluated. © 2014 John Wiley & Sons Ltd.

  2. Research on Radar Emitter Attribute Recognition Method

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    In order to solve emitter recognition problems in a practical reconnaissance environment, attribute mathematics is introduced. The basic concepts and theory of attribute set and attribute measure are described in detail. A new attribute recognition method based on attribute measure is presented in this paper. Application example is given, which demonstrates this new method is accurate and effective. Moreover, computer simulation for recognizing the emitter purpose is selected, and compared with classical statistical pattern recognition through simulation. The excellent experimental results demonstrate that this is a brand-new attribute recognition method as compared to existing statistical pattern recognition techniques.

  3. A rough set approach for determining weights of decision makers in group decision making

    Science.gov (United States)

    Yang, Qiang; Du, Ping-an; Wang, Yong; Liang, Bin

    2017-01-01

    This study aims to present a novel approach for determining the weights of decision makers (DMs) based on rough group decision in multiple attribute group decision-making (MAGDM) problems. First, we construct a rough group decision matrix from all DMs’ decision matrixes on the basis of rough set theory. After that, we derive a positive ideal solution (PIS) founded on the average matrix of rough group decision, and negative ideal solutions (NISs) founded on the lower and upper limit matrixes of rough group decision. Then, we obtain the weight of each group member and priority order of alternatives by using relative closeness method, which depends on the distances from each individual group member’ decision to the PIS and NISs. Through comparisons with existing methods and an on-line business manager selection example, the proposed method show that it can provide more insights into the subjectivity and vagueness of DMs’ evaluations and selections. PMID:28234974

  4. Attributes of clinical leadership in contemporary nursing: an integrative review.

    Science.gov (United States)

    Mannix, Judy; Wilkes, Lesley; Daly, John

    2013-08-01

    Effective clinical leadership is offered as the key to healthy, functional and supportive work environments for nurses and other health professionals. However, as a concept it lacks a standard definition and is poorly understood. This paper reports on an integrative review undertaken to uncover current understandings of defining attributes of contemporary clinical leadership in nursing. Data collection involved a search of relevant electronic databases for a 10-year period. Keywords for the search were 'clinical leadership' and 'nursing'. Ten research papers met the inclusion criteria for the integrative review. Analysis of these studies indicated clinical leadership attributes had a clinical focus, a follower/team focus or a personal qualities focus; attributes necessary to sustain supportive workplaces and build the capacity and resilience of nursing workforces. The small number of research-based studies yielded for the review indicates the need for further research in the area of clinical leadership.

  5. 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.

  6. 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.

  7. Quality of Patient Decisions About Breast Reconstruction After Mastectomy.

    Science.gov (United States)

    Lee, Clara Nan-Hi; Deal, Allison M; Huh, Ruth; Ubel, Peter Anthony; Liu, Yuen-Jong; Blizard, Lillian; Hunt, Caprice; Pignone, Michael Patrick

    2017-08-01

    Breast reconstruction has the potential to improve a person's body image and quality of life but has important risks. Variations in who undergoes breast reconstruction have led to questions about the quality of patient decisions. To assess the quality of patient decisions about breast reconstruction. A prospective, cross-sectional survey study was conducted from June 27, 2012, to February 28, 2014, at a single, academic, multidisciplinary oncology clinic among women planning to undergo mastectomy for stage I to III invasive ductal or lobular breast cancer, ductal carcinoma in situ, or prophylaxis. Mastectomy only and mastectomy with reconstruction. Knowledge, as ascertained using the Decision Quality Instrument; preference concordance, based on rating and ranking of key attributes; and decision quality, defined as having knowledge of 50% or more and preference concordance. During the 20-month period, 214 patients were eligible, 182 were approached, and 32 missed. We enrolled 145 patients (79.7% enrollment rate), and received surveys from 131 patients (72.0% participation rate). Five participants became ineligible. The final study population was 126 patients. Among the 126 women in the study (mean [SD] age, 53.2 [12.1] years), the mean (SD) knowledge score was 58.5% (16.2%) and did not differ by treatment group (mastectomy only, 55.2% [15.0%]; mastectomy with reconstruction, 60.5% [16.5%]). A total of 82 of 123 participants (66.7%) had a calculated treatment preference of mastectomy only; 39 of these women (47.6%) underwent mastectomy only. A total of 41 participants (32.5%) had a calculated treatment preference of mastectomy with reconstruction; 36 of these women (87.8%) underwent mastectomy with reconstruction. Overall, 52 of 120 participants (43.3%) made a high-quality decision. In multivariable analysis, white race/ethnicity (odds ratio [OR], 2.72; 95% CI, 1.00-7.38; P = .05), having private insurance (OR, 1.61; 95% CI, 1.35-1.93; P quality decision. A

  8. Attribution style of patients with depression

    Directory of Open Access Journals (Sweden)

    Leposavić Ivana

    2009-01-01

    Full Text Available Introduction The role of attribution in psychopathology has been investigated most systematically within the depression context. The presumption which makes people depressive consists, to an excessive degree, of internal, stable and global attributions to negative occurrences. Negative attributions for unpleasant events are associated with the loss of self-respect which follows. Objective Establishing the characteristics of attribution style of depressive patients. Methods The investigation included 62 subjects. The first group consisted of 32 patients with endogenous depression in remission. The second group included 30 healthy subjects. The characteristics of attribution style, in both groups, were tested by the Attribution Style Questionnaire (ASQ. Results The group of depressive patients, in comparison with healthy subjects, exhibited a significantly more marked internal attribution for negative events (t(60=-3.700; p<0.01 and global internal negative attributions (t(60=-4.023; p<0.01. There was no significant difference between the groups in the stability of these negative attributions (t(60=-1.937; p>0.05, and also the composite score which represents the measure of hopelessness did not make a significant difference between depressive and healthy subjects (t(60=-1.810; p>0.05. Conclusion Depressive patients exhibit an inclination towards internal and global attribution for negative events. These negative attributions do not have stable character, i.e. these attributions vary in time. Characteristics of attribution judgments of depressive people do not represent a permanent pattern within their cognitive style.

  9. Tools for collaborative decision-making

    CERN Document Server

    Zaraté, Pascale

    2013-01-01

    Decision-making has evolved recently thanks to the introduction of information and communication technologies in many organizations, which has led to new kinds of decision-making processes, called "collaborative decision-making", at the organizational and cognitive levels. This book looks at the development of the decision-making process in organizations. Decision-aiding and its paradigm of problem solving are defined, showing how decision-makers now need to work in a cooperative way. Definitions of cooperation and associated concepts such as collaboration and coordination are given and a framework of cooperative decision support systems is presented, including intelligent DSS, cooperative knowledge-based systems, workflow, group support systems, collaborative engineering, integrating with a collaborative decision-making model in part or being part of global projects. Several models and experimental studies are also included showing that these new processes have to be supported by new types of tools, several ...

  10. A Mathematical Framework for Statistical Decision Confidence.

    Science.gov (United States)

    Hangya, Balázs; Sanders, Joshua I; Kepecs, Adam

    2016-09-01

    Decision confidence is a forecast about the probability that a decision will be correct. From a statistical perspective, decision confidence can be defined as the Bayesian posterior probability that the chosen option is correct based on the evidence contributing to it. Here, we used this formal definition as a starting point to develop a normative statistical framework for decision confidence. Our goal was to make general predictions that do not depend on the structure of the noise or a specific algorithm for estimating confidence. We analytically proved several interrelations between statistical decision confidence and observable decision measures, such as evidence discriminability, choice, and accuracy. These interrelationships specify necessary signatures of decision confidence in terms of externally quantifiable variables that can be empirically tested. Our results lay the foundations for a mathematically rigorous treatment of decision confidence that can lead to a common framework for understanding confidence across different research domains, from human and animal behavior to neural representations.

  11. What is a clinical decision analysis study?

    Directory of Open Access Journals (Sweden)

    Aleem Ilyas

    2008-01-01

    Full Text Available Decision making in clinical practice often involves the need to make complex and intricate decisions with important long-term consequences. Decision analysis is a tool that allows users to apply evidence-based medicine to make informed and objective clinical decisions when faced with complex situations. A Decision Tree, together with literature-derived probabilities and defined outcome values, is used to model a given problem and help determine the best course of action. Sensitivity analysis allows an exploration of important variables on final clinical outcomes. A decision-maker can thereafter establish a preferred method of treatment and explore variables which influence the final outcome. The present paper is intended to give an overview of decision analysis and its application in clinical decision making.

  12. Organizational Decisions.

    Science.gov (United States)

    1982-03-01

    the customer is the Federal Government subjective bases for decisions were mentioned over three times as frequently as sophisticated methods of... satisfcations ? Much of the answer will depend on organizational antecedents and consequences (Bass, 1981). The Cascade. Based on dissatisfaction with his current...transactions (such as discounts to customers during off-seasons), by anticipating needed changes requiring technical adaptation (e.g. maintaining

  13. Investigating subjective attributes of quality for videos displayed with local backlight dimming

    DEFF Research Database (Denmark)

    Mantel, Claire; Bech, Søren; Forchhammer, Søren

    2014-01-01

    This paper investigates what composes the quality of videos displayed on LCD with local backlight dimming. In a sub- jective experiment, participants assessed the level of nine attributes defined using the Qualitative Descriptive Anal- ysis method. Results show that three attributes (Contrast...

  14. XHTML Role Attribute, A module to support role classification of elements

    NARCIS (Netherlands)

    W3C, institution; Birbeck, M.; et al, not CWI

    2007-01-01

    The XHTML Role Attribute defined in this specification allows the author to annotate XML Languages with machine-extractable semantic information about the purpose of an element. Use cases include accessibility, device adaptation, server-side processing, and complex data description. This attribute c

  15. Decision Making in the Airplane

    Science.gov (United States)

    Orasanu, Judith; Shafto, Michael G. (Technical Monitor)

    1995-01-01

    The Importance of decision-making to safety in complex, dynamic environments like mission control centers, aviation, and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. Yet laboratory research on decision making has not proven especially helpful In improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multi-dimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that

  16. Attribute-based point cloud visualization in support of 3-D classification

    Science.gov (United States)

    Zlinszky, András; Otepka, Johannes; Kania, Adam

    2016-04-01

    Despite the rich information available in LIDAR point attributes through full waveform recording, radiometric calibration and advanced texture metrics, LIDAR-based classification is mostly done in the raster domain. Point-based analyses such as noise removal or terrain filtering are often carried out without visual investigation of the point cloud attributes used. This is because point cloud visualization software usually handle only a limited number of pre-defined point attributes and only allow colorizing the point cloud with one of these at a time. Meanwhile, point cloud classification is rapidly evolving, and uses not only the individual attributes but combinations of these. In order to understand input data and output results better, more advanced methods for visualization are needed. Here we propose an algorithm of the OPALS software package that handles visualization of the point cloud together with its attributes. The algorithm is based on the .odm (OPALS data manager) file format that efficiently handles a large number of pre-defined point attributes and also allows the user to generate new ones. Attributes of interest can be visualized individually, by applying predefined or user-generated palettes in a simple .xml format. The colours of the palette are assigned to the points by setting the respective Red, Green and Blue attributes of the point to result in the colour pre-defined by the palette for the corresponding attribute value. The algorithm handles scaling and histogram equalization based on the distribution of the point attribute to be considered. Additionally, combinations of attributes can be visualized based on RBG colour mixing. The output dataset can be in any standard format where RGB attributes are supported and visualized with conventional point cloud viewing software. Viewing the point cloud together with its attributes allows efficient selection of filter settings and classification parameters. For already classified point clouds, a large

  17. Attributions and Relapse in Opiate Addicts.

    Science.gov (United States)

    Bradley, Brendan P.; And Others

    1992-01-01

    Investigated whether attributions of opiate addicts would predict abstinence and reactions to abstinence violations. Found that addicts who at admission attributed to themselves greater responsibility for negative outcomes and who attributed relapse episodes to more personally controllable factors were subsequently more likely either to be…

  18. The hopelessness theory of depression: attributional aspects.

    Science.gov (United States)

    Alloy, L B; Abramson, L Y; Metalsky, G I; Hartlage, S

    1988-02-01

    In this article, we clarify, expand and revise the basic postulates of the hopelessness theory of depression (Abramson, Alloy & Metalsky, 1988a; Abramson, Metalsky & Alloy, 1987, 1988b; previously referred to as the reformulated helplessness theory of depression: Abramson, Seligman & Teasdale, 1978) and place the theory more explicitly in the context of work in descriptive psychiatry about the heterogeneity among the depressive disorders. We suggest that the hopelessness theory hypothesizes the existence in nature of an, as yet, unidentified subtype of depression--'hopelessness depression'--defined, in part, by its cause. We then give a critique of work conducted to test the hopelessness theory and explicate the limitations in research strategy associated with this line of work. Our critique includes a logical analysis that deduces the conceptual and methodological inadequacies of the research strategies used to test the theory. Finally, we suggest more adequate research strategies for testing the hopelessness theory and discuss conceptual and assessment issues that will arise in conducting such tests with special emphasis on attributional styles.

  19. ENVIRONMENTAL AND SAFETY ATTRIBUTES GEOSTRATEGIC HEGEMONY

    Directory of Open Access Journals (Sweden)

    A. Bohan

    2014-12-01

    Full Text Available The article deals with modern aspects of manifestation geostrategic hegemony in the context of its environmental and safety attributes that determine the appearance of new determinants of economic development and progress of the world. Specificity of the geopolitical sphere in the context of a retrospective and prospects of development of civilization, which requires the use of new system-methodological approaches to its study. Defined mechanisms to enhance the status of the hegemon, which by their nature are accompanied by threats and challenges of globalization and conflict-military factors in the fight for resources and ecological imbalance in the world. The space competition geopolitical actors are increasingly extended to third countries, thus causing their economic instability, environmental vulnerability and permanent conflict. The factors, causes and conditions for the identification of new measurements geostrategic hegemony, which can affect the configuration of world order, the balance of economic power and the establishment of constructive international dialogue aimed at security, sustainable development and well-being of all mankind.

  20. Consumer perception: attributes considered important in packaging

    Directory of Open Access Journals (Sweden)

    Nara Medianeira Stefano

    2012-08-01

    Full Text Available Packaging has been considered the main vehicle for sales, brand building and product identity, since it is the first contact with the product that the consumer has, it is fundamental when choosing and buying a product. In this sense, the packaging is a silent salesperson, because it is up to the package to attract attention, create interest and desire, show the quality of the product and close the sale within seconds. Packaging has contributed to corporate communication with consumers; it provides product protection, storage and convenience, as products move through the value chain. Thinking about it, the product cannot be planned separately from its packaging, and it should not be defined based only on engineering, marketing, communications or economics. The packaging concept has expanded and gained product status; packaging is able to communicate the same language of convenience wherever it goes. Today, packaging industries are taking advantage of this opportunity to differentiate their products through packaging, finding that it is not enough for the package to be beautiful, unbreakable, or preserve the flavor and freshness of foods. Within this context, the objective of this research is to analyze, from the point of view of consumers, the most important product packaging attributes at the time of purchase. For this purpose, the data obtained in this study was run through the Statistica 8.0 and SPSS 16 (Statistical Package Social Sciences software’s.

  1. An exploration of pre-service teachers’ attributions in English

    Directory of Open Access Journals (Sweden)

    Yılmaz Cevdet

    2016-01-01

    Full Text Available With the developments in cognitive psychology, language learners’ beliefs have received considerable attention in the domain of language teaching and learning. One area that merits investigation as to what the learner brings to this educational process is learner attributions which are commonly defined as ‘perceived causes of success and failure’. This paper investigated pre-service teachers’ perceptions of student attributions and their performance in English. Attributions are categorized as either internal (for instance ability or external (for instance task difficulty. Motivated by these theoretical concerns, the study investigated the attributions of 122 pre-service teachers majoring in English and the connections between attribution and proficiency and gender. The study concludes with a set of far-reaching pedagogical implications and suggestions for learner training and teacher action in the EFL classroom. The results underscore the need for pre-service students to become aware of their own perceptions with regard to students' success and failure in English.

  2. Preferences of processing companies for attributes of Swiss milk: a conjoint analysis in a business-to-business market.

    Science.gov (United States)

    Boesch, I

    2013-04-01

    This study aimed to determine key attributes of milk that drive a processor's supply decisions and possibilities for differentiation based on these product attributes. Feedback-driven exploration was applied to derive product attributes relevant to the buying decision. Conjoint analysis with hierarchical Bayes estimation methods was used to determine the relative importance of attributes. Results show that the technical aspects of milk, as well as the price and country of origin, dominate the buying decision. Potential for differentiation was found for environmental and societal attributes as well as freedom from genetically modified products. Product and supplier criteria also provide the potential to segment the market if the price premium is held within limits. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  3. Perceptual and motor attribute ratings for 559 object concepts.

    Science.gov (United States)

    Amsel, Ben D; Urbach, Thomas P; Kutas, Marta

    2012-12-01

    To understand how and when object knowledge influences the neural underpinnings of language comprehension and linguistic behavior, it is critical to determine the specific kinds of knowledge that people have. To extend the normative data currently available, we report a relatively more comprehensive set of object attribute rating norms for 559 concrete object nouns, each rated on seven attributes corresponding to sensory and motor modalities-color, motion, sound, smell, taste, graspability, and pain-in addition to familiarity (376 raters, M = 23 raters per item). The mean ratings were subjected to principal-components analysis, revealing two primary dimensions plausibly interpreted as relating to survival. We demonstrate the utility of these ratings in accounting for lexical and semantic decision latencies. These ratings should prove useful for the design and interpretation of experimental tests of conceptual and perceptual object processing.

  4. A Novel Strategy for Minimum Attribute Reduction Based on Rough Set Theory and Fish Swarm Algorithm

    Directory of Open Access Journals (Sweden)

    Yuebin Su

    2017-01-01

    Full Text Available For data mining, reducing the unnecessary redundant attributes which was known as attribute reduction (AR, in particular, reducts with minimal cardinality, is an important preprocessing step. In the paper, by a coding method of combination subset of attributes set, a novel search strategy for minimal attribute reduction based on rough set theory (RST and fish swarm algorithm (FSA is proposed. The method identifies the core attributes by discernibility matrix firstly and all the subsets of noncore attribute sets with the same cardinality were encoded into integers as the individuals of FSA. Then, the evolutionary direction of the individual is limited to a certain extent by the coding method. The fitness function of an individual is defined based on the attribute dependency of RST, and FSA was used to find the optimal set of reducts. In each loop, if the maximum attribute dependency and the attribute dependency of condition attribute set are equal, then the algorithm terminates, otherwise adding a single attribute to the next loop. Some well-known datasets from UCI were selected to verify this method. The experimental results show that the proposed method searches the minimal attribute reduction set effectively and it has the excellent global search ability.

  5. Multicriteria methodology for decision aiding

    CERN Document Server

    Roy, Bernard

    1996-01-01

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

  6. Inflated applicants: attribution errors in performance evaluation by professionals.

    Directory of Open Access Journals (Sweden)

    Samuel A Swift

    Full Text Available When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals to make systematic mistakes in their selection decisions, favoring alumni from academic institutions with high grade distributions and employees from forgiving business environments. We find that candidates benefiting from favorable situations are more likely to be admitted and promoted than their equivalently skilled peers. The results suggest that decision-makers take high nominal performance as evidence of high ability and do not discount it by the ease with which it was achieved. These results clarify our understanding of the correspondence bias using evidence from both archival studies and experiments with experienced professionals. We discuss implications for both admissions and personnel selection practices.

  7. RANKINGTHEREFACTORING TECHNIQUES BASED ON THE INTERNAL QUALITY ATTRIBUTES

    Directory of Open Access Journals (Sweden)

    Sultan Alshehri

    2014-01-01

    Full Text Available The analytic hierarchy process (AHP has been applied in many fields and especially to complex engineering problems and applications. The AHP is capable of structuring decision problems and finding mathematically determined judgments built on knowledge and experience. This suggests that AHP should prove useful in agile software development where complex decisions occur routinely. In this paper, the AHP is used to rank the refactoring techniques based on the internal code quality attributes. XP encourages applying the refactoring where the code smells bad. However, refactoring may consume more time and efforts.So, to maximize the benefits of the refactoring in less time and effort, AHP has been applied to achieve this purpose. It was found that ranking the refactoring techniques helped the XP team to focus on the technique that improve the code and the XP development process in general.

  8. A hybrid method for decision making with dependence & feedback under incomplete information

    Directory of Open Access Journals (Sweden)

    Chen Weijie

    2016-01-01

    Full Text Available This paper presents a hybrid method to tackle multiple criteria decision making problems with incomplete weight information in the context of fuzzy soft sets. In order to determine the weights of criteria, we develop a comprehensive two-stage framework. Stage One: We first define the distance between two fuzzy soft numbers. Next, we establish an optimization model based on ideal point of attribute values, by which the attrib-ute weights can be determined. Stage Two: To get the global weights, we use fuzzy cognitive maps to depict the dependent and feedback effect among criteria. Next, we require constructing fuzzy soft set to decide the desirable alternative. Finally, a case study is given to clarify the proposed approach of this paper.

  9. Protective actions in the late phase - intervention criteria and decision-making

    DEFF Research Database (Denmark)

    Jensen, Per Hedemann

    2004-01-01

    Major countermeasures in the late phase of a nuclear or radiological accident where long-lived radionuclides have been dispersed in the environment are relocation/resettlement, foodstuff restrictions, agricultural countermeasures and clean-up of contaminated areas. There has essentially been...... a broad acceptance internationally of the principles for their introduction, but it has not been possible to reach an agreement for the purpose of defining a net benefit based upon the exact weighting to be attached to each of the attributes influencing the decision on intervention, e.g. socio......-psychological attributes. Optimisation of protection, i.e. maximising the net benefit, is not a question of developing radiation protection philosophy to fully include socio-psychological factors but rather to include these factors-in parallel with the radiological protection factors-in cooperation between radiation...

  10. Neutrosophic Logic Applied to Decision Making

    DEFF Research Database (Denmark)

    Madsen, Henrik; Albeanu, Grigore; Burtschy, Bernard

    2014-01-01

    Decision making addresses the usage of various methods to select "the best", in some way, alternative strategy (from many available) when a problem is given for solving. The authors propose the usage of neutrosophic way of thinking, called also Smarandache's logic, to select a model by experts when...... degrees of trustability, ultrastability (falsehood), and indeterminacy are used to decide. The procedures deal with multi-attribute neutrosophic decision making and a case study on e-learning software objects is presented....

  11. Decision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Study

    KAUST Repository

    Azad, Mohammad

    2013-10-04

    In this paper, we present three approaches for construction of decision rules for decision tables with many-valued decisions. We construct decision rules directly for rows of decision table, based on paths in decision tree, and based on attributes contained in a test (super-reduct). Experimental results for the data sets taken from UCI Machine Learning Repository, contain comparison of the maximum and the average length of rules for the mentioned approaches.

  12. ATTRIBUTION AND CHARACTERISATION OF SCLEROPHYLL FORESTED LANDSCAPES OVER LARGE AREAS

    Directory of Open Access Journals (Sweden)

    S. Jones

    2016-06-01

    Full Text Available This paper presents a methodology for the attribution and characterisation of Sclerophyll forested landscapes over large areas. First we define a set of woody vegetation data primitives (e.g. canopy cover, leaf area index (LAI, bole density, canopy height, which are then scaled-up using multiple remote sensing data sources to characterise and extract landscape woody vegetation features. The advantage of this approach is that vegetation landscape features can be described from composites of these data primitives. The proposed data primitives act as building blocks for the re-creation of past woody characterisation schemes as well as allowing for re-compilation to support present and future policy and management and decision making needs. Three main research sites were attributed; representative of different sclerophyll woody vegetated systems (Box Iron-bark forest; Mountain Ash forest; Mixed Species foothills forest. High resolution hyperspectral and full waveform LiDAR data was acquired over the three research sites. At the same time, land management agencies (Victorian Department of Environment, Land Water and Planning and researchers (RMIT, CRC for Spatial Information and CSIRO conducted fieldwork to collect structural and functional measurements of vegetation, using traditional forest mensuration transects and plots, terrestrial lidar scanning and high temporal resolution in-situ autonomous laser (VegNet scanners. Results are presented of: 1 inter-comparisons of LAI estimations made using ground based hemispherical photography, LAI 2200 PCA, CI-110 and terrestrial and airborne laser scanners; 2 canopy height and vertical canopy complexity derived from airborne LiDAR validated using ground observations; and, 3 time-series characterisation of land cover features. 1. Accuracy targets for remotely sensed LAI products to match within ground based estimates are ± 0.5 LAI or a 20% maximum (CEOS/GCOS with new aspirational targets of 5%. In this

  13. Attribution and Characterisation of Sclerophyll Forested Landscapes Over Large Areas

    Science.gov (United States)

    Jones, Simon; Soto-Berelov, Mariela; Suarez, Lola; Wilkes, Phil; Woodgate, Will; Haywood, Andrew

    2016-06-01

    This paper presents a methodology for the attribution and characterisation of Sclerophyll forested landscapes over large areas. First we define a set of woody vegetation data primitives (e.g. canopy cover, leaf area index (LAI), bole density, canopy height), which are then scaled-up using multiple remote sensing data sources to characterise and extract landscape woody vegetation features. The advantage of this approach is that vegetation landscape features can be described from composites of these data primitives. The proposed data primitives act as building blocks for the re-creation of past woody characterisation schemes as well as allowing for re-compilation to support present and future policy and management and decision making needs. Three main research sites were attributed; representative of different sclerophyll woody vegetated systems (Box Iron-bark forest; Mountain Ash forest; Mixed Species foothills forest). High resolution hyperspectral and full waveform LiDAR data was acquired over the three research sites. At the same time, land management agencies (Victorian Department of Environment, Land Water and Planning) and researchers (RMIT, CRC for Spatial Information and CSIRO) conducted fieldwork to collect structural and functional measurements of vegetation, using traditional forest mensuration transects and plots, terrestrial lidar scanning and high temporal resolution in-situ autonomous laser (VegNet) scanners. Results are presented of: 1) inter-comparisons of LAI estimations made using ground based hemispherical photography, LAI 2200 PCA, CI-110 and terrestrial and airborne laser scanners; 2) canopy height and vertical canopy complexity derived from airborne LiDAR validated using ground observations; and, 3) time-series characterisation of land cover features. 1. Accuracy targets for remotely sensed LAI products to match within ground based estimates are ± 0.5 LAI or a 20% maximum (CEOS/GCOS) with new aspirational targets of 5%). In this research we

  14. A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: By foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree

    Energy Technology Data Exchange (ETDEWEB)

    Saracoglu, B.O.

    2016-07-01

    The electricity demand in Turkey has been increasing for a while. Hydropower is one of the major electricity generation types to compensate this electricity demand in Turkey. Private investors (domestic and foreign) in the hydropower electricity generation sector have been looking for the most appropriate and satisfactory new private hydropower investment (PHPI) options and opportunities in Turkey. This study aims to present a qualitative multi-attribute decision making (MADM) model, that is easy, straightforward, and fast for the selection of the most satisfactory reasonable PHPI options during the very early investment stages (data and information poorness on projects). The data and information of the PHPI options was gathered from the official records on the official websites. A wide and deep literature review was conducted for the MADM models and for the hydropower industry. The attributes of the model were identified, selected, clustered and evaluated by the expert decision maker (EDM) opinion and by help of an open source search results clustering engine (Carrot2) (helpful for also comprehension). The PHPI options were clustered according to their installed capacities main property to analyze the options in the most appropriate, decidable, informative, understandable and meaningful way. A simple clustering algorithm for the PHPI options was executed in the current study. A template model for the selection of the most satisfactory PHPI options was built in the DEXi (Decision EXpert for Education) and the DEXiTree software. The basic attributes for the selection of the PHPI options were presented and afterwards the aggregate attributes were defined by the bottom-up structuring for the early investment stages. The attributes were also analyzed by help of Carrot2. The most satisfactory PHPI options in Turkey in the big options data set were selected for each PHPI options cluster by the EDM evaluations in the DEXi. (Author)

  15. Defining asthma in genetic studies

    NARCIS (Netherlands)

    Koppelman, GH; Postma, DS; Meijer, G.

    1999-01-01

    Genetic studies have been hampered by the lack of a gold standard to diagnose asthma. The complex nature of asthma makes it more difficult to identify asthma genes. Therefore, approaches to define phenotypes, which have been successful in other genetically complex diseases, may be applied to define

  16. Defining asthma in genetic studies

    NARCIS (Netherlands)

    Koppelman, GH; Postma, DS; Meijer, G.

    1999-01-01

    Genetic studies have been hampered by the lack of a gold standard to diagnose asthma. The complex nature of asthma makes it more difficult to identify asthma genes. Therefore, approaches to define phenotypes, which have been successful in other genetically complex diseases, may be applied to define

  17. Heuristic decision making.

    Science.gov (United States)

    Gigerenzer, Gerd; Gaissmaier, Wolfgang

    2011-01-01

    As reflected in the amount of controversy, few areas in psychology have undergone such dramatic conceptual changes in the past decade as the emerging science of heuristics. Heuristics are efficient cognitive processes, conscious or unconscious, that ignore part of the information. Because using heuristics saves effort, the classical view has been that heuristic decisions imply greater errors than do "rational" decisions as defined by logic or statistical models. However, for many decisions, the assumptions of rational models are not met, and it is an empirical rather than an a priori issue how well cognitive heuristics function in an uncertain world. To answer both the descriptive question ("Which heuristics do people use in which situations?") and the prescriptive question ("When should people rely on a given heuristic rather than a complex strategy to make better judgments?"), formal models are indispensable. We review research that tests formal models of heuristic inference, including in business organizations, health care, and legal institutions. This research indicates that (a) individuals and organizations often rely on simple heuristics in an adaptive way, and (b) ignoring part of the information can lead to more accurate judgments than weighting and adding all information, for instance for low predictability and small samples. The big future challenge is to develop a systematic theory of the building blocks of heuristics as well as the core capacities and environmental structures these exploit.

  18. Group Decision Process Support

    DEFF Research Database (Denmark)

    Gøtze, John; Hijikata, Masao

    1997-01-01

    Introducing the notion of Group Decision Process Support Systems (GDPSS) to traditional decision-support theorists.......Introducing the notion of Group Decision Process Support Systems (GDPSS) to traditional decision-support theorists....

  19. An intelligent, knowledge-based multiple criteria decision making advisor for systems design

    Science.gov (United States)

    Li, Yongchang

    In systems engineering, design and operation of systems are two main problems which always attract researcher's attentions. The accomplishment of activities in these problems often requires proper decisions to be made so that the desired goal can be achieved, thus, decision making needs to be carefully fulfilled in the design and operation of systems. Design is a decision making process which permeates through out the design process, and is at the core of all design activities. In modern aircraft design, more and more attention is paid to the conceptual and preliminary design phases so as to increase the odds of choosing a design that will ultimately be successful at the completion of the design process, therefore, decisions made during these early design stages play a critical role in determining the success of a design. Since aerospace systems are complex systems with interacting disciplines and technologies, the Decision Makers (DMs) dealing with such design problems are involved in balancing the multiple, potentially conflicting attributes/criteria, transforming a large amount of customer supplied guidelines into a solidly defined set of requirement definitions. Thus, one could state with confidence that modern aerospace system design is a Multiple Criteria Decision Making (MCDM) process. A variety of existing decision making methods are available to deal with this type of decision problems. The selection of the most appropriate decision making method is of particular importance since inappropriate decision methods are likely causes of misleading engineering design decisions. With no sufficient knowledge about each of the methods, it is usually difficult for the DMs to find an appropriate analytical model capable of solving their problems. In addition, with the complexity of the decision problem and the demand for more capable methods increasing, new decision making methods are emerging with time. These various methods exacerbate the difficulty of the selection

  20. Labeled experimental choice design for estimating attribute and availability cross effects with N attributes and specific brand attribute levels

    DEFF Research Database (Denmark)

    Nguyen, Thong Tien

    2011-01-01

    , orthogonal design is not available for every situation. Instead, efficient design based on computerized design algorithm is always available. This paper presents the method of efficient design for estimating brand models having attribute and availability cross effects. The paper gives a framework...... for implementing designs that is efficient enough to estimate model with N brands, each brand have K attributes, and brand attribute has specific levels. The paper also illustrates an example in food consumption study....

  1. A Contemporary Matrix Approach to Defining Shared Governance.

    Science.gov (United States)

    Davenport, Richard; Daniels, Elaine; Jones, James; Kesseler, Roger; Mowrey, Merlyn

    This paper outlines a matrix approach to shared governance developed at Central Michigan University (CMU), designed to help faculty and administrators focus on specific decision areas and to define existing roles more clearly. The process began at CMU in spring 1998 with the formation of an ad hoc committee on governance which surveyed faculty and…

  2. Mitigating the controller performance bottlenecks in Software Defined Networks

    DEFF Research Database (Denmark)

    Caba, Cosmin Marius; Soler, José

    2016-01-01

    The centralization of the control plane decision logic in Software Defined Networking (SDN) has raised concerns regarding the performance of the SDN Controller (SDNC) when the network scales up. A number of solutions have been proposed in the literature to address these concerns. This paper propo...

  3. Decision theory and decision behaviour

    CERN Document Server

    Rapoport, Anatol

    1998-01-01

    The book treats two approaches to decision theory: (1) the normative, purporting to determine how a 'perfectly rational' actor ought to choose among available alternatives; (2) the descriptive, based on observations of how people actually choose in real life and in laboratory experiments. The mathematical tools used in the normative approach range from elementary algebra to matrix and differential equations. Sections on different levels can be studied independently. Special emphasis is made on 'offshoots' of both theories to cognitive psychology, theoretical biology, and philosophy.

  4. Biosphere reserves: Attributes for success.

    Science.gov (United States)

    Van Cuong, Chu; Dart, Peter; Hockings, Marc

    2017-03-01

    Biosphere reserves established under the UNESCO Man and the Biosphere Program aim to harmonise biodiversity conservation and sustainable development. Concerns over the extent to which the reserve network was living up to this ideal led to the development of a new strategy in 1995 (the Seville Strategy) to enhance the operation of the network of reserves. An evaluation of effectiveness of management of the biosphere reserve network was called for as part of this strategy. Expert opinion was assembled through a Delphi Process to identify successful and less successful reserves and investigate common factors influencing success or failure. Ninety biosphere reserves including sixty successful and thirty less successful reserves in 42 countries across all five Man and the Biosphere Program regions were identified. Most successful sites are the post-Seville generation while the majority of unsuccessful sites are pre-Seville that are managed as national parks and have not been amended to conform to the characteristics that are meant to define a biosphere reserve. Stakeholder participation and collaboration, governance, finance and resources, management, and awareness and communication are the most influential factors in the success or failure of the biosphere reserves. For success, the biosphere reserve concept needs to be clearly understood and applied through landscape zoning. Designated reserves then need a management system with inclusive good governance, strong participation and collaboration, adequate finance and human resource allocation and stable and responsible management and implementation. All rather obvious but it is difficult to achieve without commitment to the biosphere reserve concept by the governance authorities. Copyright © 2016 Elsevier Ltd. All rights reserved.

  5. Solutions for decision support in university management

    Directory of Open Access Journals (Sweden)

    Andrei STANCIU

    2009-06-01

    Full Text Available The paper proposes an overview of decision support systems in order to define the role of a system to assist decision in university management. The authors present new technologies and the basic concepts of multidimensional data analysis using models of business processes within the universities. Based on information provided by scientific literature and on the authors’ experience, the study aims to define selection criteria in choosing a development environment for designing a support system dedicated to university management. The contributions consist in designing a data warehouse model and models of OLAP analysis to assist decision in university management.

  6. Lightning Strikes and Attribution of Climatic Change

    CERN Document Server

    Webster, Anthony J

    2015-01-01

    Using lightning strikes as an example, two possible schemes are discussed for the attribution of changes in event frequency to climate change, and estimating the cost associated with them. The schemes determine the fraction of events that should be attributed to climatic change, and the fraction that should be attributed to natural chance. They both allow for the expected increase in claims and the fluctuations about this expected value. Importantly, the attribution fraction proposed in the second of these schemes is necessarily different to that found in epidemiological studies. This ensures that the statistically expected fraction of attributed claims is correctly equal to the expected increase in claims. The analysis of lightning data highlights two particular difficulties with data-driven, as opposed to modeled, attribution studies. The first is the possibility of unknown "confounding" variables that can influence the strike frequency. This is partly accounted for here by considering the influence of temp...

  7. Defining and Classifying Interest Groups

    DEFF Research Database (Denmark)

    Baroni, Laura; Carroll, Brendan; Chalmers, Adam;

    2014-01-01

    The interest group concept is defined in many different ways in the existing literature and a range of different classification schemes are employed. This complicates comparisons between different studies and their findings. One of the important tasks faced by interest group scholars engaged...... in large-N studies is therefore to define the concept of an interest group and to determine which classification scheme to use for different group types. After reviewing the existing literature, this article sets out to compare different approaches to defining and classifying interest groups with a sample...

  8. Building and Defining Behavioral Economics

    NARCIS (Netherlands)

    Heukelom, F.

    2011-01-01

    George Loewenstein, a prominent behavioral economist, recalls thatIn 1994, when Thaler, Camerer, Rabin, Prelec and I spent the year at the Center for Advanced Study in the Behavioral Sciences, we had a meeting to make a kind of final decision about what to call what we were doing. Remarkably, at

  9. Building and Defining Behavioral Economics

    NARCIS (Netherlands)

    Heukelom, F.

    2011-01-01

    George Loewenstein, a prominent behavioral economist, recalls thatIn 1994, when Thaler, Camerer, Rabin, Prelec and I spent the year at the Center for Advanced Study in the Behavioral Sciences, we had a meeting to make a kind of final decision about what to call what we were doing. Remarkably, at tha

  10. Building and Defining Behavioral Economics

    NARCIS (Netherlands)

    Heukelom, F.

    2011-01-01

    George Loewenstein, a prominent behavioral economist, recalls thatIn 1994, when Thaler, Camerer, Rabin, Prelec and I spent the year at the Center for Advanced Study in the Behavioral Sciences, we had a meeting to make a kind of final decision about what to call what we were doing. Remarkably, at tha

  11. Attribute association based privacy preservation for multi trust level environment

    Indian Academy of Sciences (India)

    R Praveena Priyadarsini; M L Valarmathi; S Sivakumari

    2015-09-01

    Enormous amount of e-data is collected world-wide by organizations for the purpose of their research and decision making. The availability of this heterogeneous, sensitive information in e-databases poses a threat to the privacy of the individual or organization on which the data is collected. Privacy Preserving Data Mining [PPDM] is a field of research which concentrates on preserving data privacy during the process of data mining. This paper proposes a two level partition and perturbation frame work to release multiple copies of privacy preserved datasets in Multi Trust Level [MTL] scenario that can prevent linking and diversity attack. The framework proposes two methods namely, Entropy based Attribute Privacy Preservation [EAPP] and Information Gain based Attribute Privacy Preservation [IGAPP] for privacy preservation in MTL environment. The two methods perform vertical and horizontal partitioning of data for privacy preservation. Simple K-Means clustering algorithm with cluster size 2 using both Euclidean and Manhattan distance functions are used for horizontal partitioning. The vertical partitioning of attributes within the cluster is performed based on their entropy value that indicates its one way association with its class in EAPP method and Information Gain [IG] value of the attributes that indicates the two way associations with class in IGAPP method. The attributes in the clusters are subjected to privacy preservation technique based on their entropy and IG values in EAPP and IGAPP methods, respectively. The effect of distance in clustering the data points on privacy preservation and the ability of the privacy preserved datasets generated using the proposed methods to prevent privacy attacks are studied using variance, rank distortion and utility metrics. Real life medical and bench mark adult data sets have been used here for experimentation. The results show that the generated datasets exhibit good variance and rank distortion values and hence can

  12. Cognitive Phenotypes and the Evolution of Animal Decisions.

    Science.gov (United States)

    Mendelson, Tamra C; Fitzpatrick, Courtney L; Hauber, Mark E; Pence, Charles H; Rodríguez, Rafael L; Safran, Rebecca J; Stern, Caitlin A; Stevens, Jeffrey R

    2016-11-01

    Despite the clear fitness consequences of animal decisions, the science of animal decision making in evolutionary biology is underdeveloped compared with decision science in human psychology. Specifically, the field lacks a conceptual framework that defines and describes the relevant components of a decision, leading to imprecise language and concepts. The 'judgment and decision-making' (JDM) framework in human psychology is a powerful tool for framing and understanding human decisions, and we apply it here to components of animal decisions, which we refer to as 'cognitive phenotypes'. We distinguish multiple cognitive phenotypes in the context of a JDM framework and highlight empirical approaches to characterize them as evolvable traits.

  13. Knowledge Automation How to Implement Decision Management in Business Processes

    CERN Document Server

    Fish, Alan N

    2012-01-01

    A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information-business knowledge

  14. Attributional style and life-events.

    Science.gov (United States)

    Rothwell, N; Williams, J M

    1983-06-01

    The study addressed the question of the significance of intervening life-events in linking attributional style and depression. Twenty male subjects who had experienced an uncontrollable event, job redundancy, were compared with 20 controls on measures of attributional style, depression and self-esteem. The reformulated helplessness hypothesis implies that attribution and depression should be correlated only after the uncontrollable event. This was found to be the case for internal--external dimension, providing tentative support for the reformulated helplessness model.

  15. Second Attribute Algorithm Based on Tree Expression

    Institute of Scientific and Technical Information of China (English)

    Su-Qing Han; Jue Wang

    2006-01-01

    One view of finding a personalized solution of reduct in an information system is grounded on the viewpoint that attribute order can serve as a kind of semantic representation of user requirements. Thus the problem of finding personalized solutions can be transformed into computing the reduct on an attribute order. The second attribute theorem describes the relationship between the set of attribute orders and the set of reducts, and can be used to transform the problem of searching solutions to meet user requirements into the problem of modifying reduct based on a given attribute order. An algorithm is implied based on the second attribute theorem, with computation on the discernibility matrix. Its time complexity is O(n2 × m) (n is the number of the objects and m the number of the attributes of an information system).This paper presents another effective second attribute algorithm for facilitating the use of the second attribute theorem,with computation on the tree expression of an information system. The time complexity of the new algorithm is linear in n. This algorithm is proved to be equivalent to the algorithm on the discernibility matrix.

  16. Theoretical approaches to elections defining

    Directory of Open Access Journals (Sweden)

    Natalya V. Lebedeva

    2011-01-01

    Full Text Available Theoretical approaches to elections defining develop the nature, essence and content of elections, help to determine their place and a role as one of the major national law institutions in democratic system.

  17. Automating hypertext for decision support

    Science.gov (United States)

    Bieber, Michael

    1990-01-01

    A decision support system (DSS) shell is being constructed that can support applications in a variety of fields, e.g., engineering, manufacturing, finance. The shell provides a hypertext-style interface for 'navigating' among DSS application models, data, and reports. The traditional notion of hypertext had to be enhanced. Hypertext normally requires manually, pre-defined links. A DSS shell, however, requires that hypertext connections to be built 'on the fly'. The role of hypertext is discussed in augmenting DSS applications and the decision making process. Also discussed is how hypertext nodes, links, and link markers tailored to an arbitrary DSS application were automatically generated.

  18. Defining Modules, Modularity and Modularization

    DEFF Research Database (Denmark)

    Miller, Thomas Dedenroth; Pedersen, Per Erik Elgård

    The paper describes the evolution of the concept of modularity in a historical perspective. The main reasons for modularity are: create variety, utilize similarities, and reduce complexity. The paper defines the terms: Module, modularity, and modularization.......The paper describes the evolution of the concept of modularity in a historical perspective. The main reasons for modularity are: create variety, utilize similarities, and reduce complexity. The paper defines the terms: Module, modularity, and modularization....

  19. Application of portfolio theory in decision tree analysis.

    Science.gov (United States)

    Galligan, D T; Ramberg, C; Curtis, C; Ferguson, J; Fetrow, J

    1991-07-01

    A general application of portfolio analysis for herd decision tree analysis is described. In the herd environment, this methodology offers a means of employing population-based decision strategies that can help the producer control economic variation in expected return from a given set of decision options. An economic decision tree model regarding the use of prostaglandin in dairy cows with undetected estrus was used to determine the expected return of the decisions to use prostaglandin and breed on a timed basis, use prostaglandin and then breed on sign of estrus, or breed on signs of estrus. The risk attributes of these decision alternatives were calculated from the decision tree, and portfolio theory was used to find the efficient decision combinations (portfolios with the highest return for a given variance). The resulting combinations of decisions could be used to control return variation.

  20. Reducing Attributes in Rough Set Theory with the Viewpoint of Mining Frequent Patterns

    Directory of Open Access Journals (Sweden)

    Thanh-Trung Nguyen

    2013-05-01

    Full Text Available The main objective of the Attribute Reduction problem in Rough Set Theory is to find and retain the set of attributes whose values vary most between objects in an Information System or Decision System. Besides, Mining Frequent Patterns aims finding items that the number of times they appear together in transactions exceeds a given threshold as much as possible. Therefore, the two problems have similarities. From that, an idea formed is to solve the problem of Attribute Reduction from the viewpoint and method of Mining Frequent Patterns. The main difficulty of the Attribute Reduction problem is the time consuming for execution, NP-hard. This article proposes two new algorithms for Attribute Reduction: one has linear complexity, and one has global optimum with concepts of Maximal Random Prior Set and Maximal Set

  1. Inconsistent decision reduction of object oriented concept lattices%对象定向概念格的不协调决策约简

    Institute of Scientific and Technical Information of China (English)

    李俊余; 王霞

    2016-01-01

    In practice ,most formal decision contexts are inconsistent because of various factors such as prediction ca‐pability ,noise in data ,and so on .Due to inconsistency ,it is more complex and difficult to extract useful information from inconsistent formal decision contexts .Since attribute reduction of concept lattices makes knowledge representation of formal decision contexts more succinct ,knowledge hiding in formal decision contexts clearer ,and adaptability of rule sets for formal decision contexts better ,it is necessary to research attribute reduction of concept lattices in the case of inconsistent formal decision contexts .The purpose of this paper is to investigate notions and methods of attribute reduction of object oriented concept lattices in the case of inconsistent decision formal contexts . Based on an equivalent relation defined on the object power set ,two notions of attribute reduction of an object oriented concept lattice are presented for an inconsistent decision formal context ,which are decision attribute reduct and maximum decision attribute reduct .It is shown that the distribution consistent set preserves the degrees in which the conditional equivalent class belongs to each decision equivalent class ,and the maximum distribution consistent set preserves all maximum decision equivalent classes .Then relations between decision attribute consistent set and maximum decision attribute consistent are discussed in detail .And a distribution consistent set must be a maximum distribution consistent set ,but the converse is not necessarily true .Finally ,two notions of discernible matrix are introduced into an object oriented concept lattice ,which are decision discernible matrix and maximum decision discernible matrix .By using decision discernible matrix and maximum decision discernible matrix ,judgement theorems of decision attribute reduct and maximum decision attribute reduct are obtained respectively ,and a method of discernible matrix is

  2. 基于前景理论的电网建设项目组合多属性决策方法%Prospect Theory Based Multiple-attribute Decision-making Method for Determining Portfolio of Construction Projects in Power Systems

    Institute of Scientific and Technical Information of China (English)

    张华一; 文福拴; 张璨; 田春筝

    2016-01-01

    电网建设项目组合的投资决策属于多属性决策问题。现有投资决策方法一般将评价指标体系的属性用确定值描述,并对单个项目进行评估得到待选项目集。事实上,有些属性并不适合用确定值来描述;另一方面,有些项目之间存在相关性,这样按单个项目来确定待选项目集就未必合适。在此背景下,首先发展了针对确定型、区间型、概率型和模糊型4种数据类型指标的收益/损失及其概率的计算方法。为计及决策过程中决策者的心理因素和风险倾向的影响,将前景理论引入电网建设项目组合的投资决策之中。然后,基于差异化思想选择指标权重,并利用 VIKOR 这种多准则决策分析方法确定最优项目组合,避免了传统线性加权法用优质指标补偿劣质指标,从而可能导致所得到的最优项目组合中包含劣质指标的情况。最后,以某省级电力公司的电网建设项目组合的投资决策问题为例,说明了所述方法的可行性和有效性。%Determining the most desirable portfolio of construction projects in a power system is a multiple‐attribute decision‐making problem . In traditional portfolio decision‐making methods , the attribute values of indices are described as deterministic ones , and the optimal portfolio is selected from single projects ranked with the attribute values of the indices . However , it is not appropriate to represent some indices as deterministic quantities , and the optimal portfolio should not be selected based on the evaluations of single projects because of the possibility of having correlations among some single projects . Given this background , a method for computing the gains/losses and their probabilities of the indices with deterministic , interval , probabilistic , fuzzy types of data is first developed for the portfolio of construction projects . In order to deal with the impacts of

  3. The complex networks approach for authorship attribution of books

    Science.gov (United States)

    Mehri, Ali; Darooneh, Amir H.; Shariati, Ashrafalsadat

    2012-04-01

    Authorship analysis by means of textual features is an important task in linguistic studies. We employ complex networks theory to tackle this disputed problem. In this work, we focus on some measurable quantities of word co-occurrence network of each book for authorship characterization. Based on the network features, attribution probability is defined for authorship identification. Furthermore, two scaling exponents, q-parameter and α-exponent, are combined to classify personal writing style with acceptable high resolution power. The q-parameter, generally known as the nonextensivity measure, is calculated for degree distribution and the α-exponent comes from a power law relationship between number of links and number of nodes in the co-occurrence network constructed for different books written by each author. The applicability of the presented method is evaluated in an experiment with thirty six books of five Persian litterateurs. Our results show high accuracy rate in authorship attribution.

  4. Anonymous Credential Schemes with Encrypted Attributes

    NARCIS (Netherlands)

    Guajardo Merchan, J.; Mennink, B.; Schoenmakers, B.

    2011-01-01

    In anonymous credential schemes, users obtain credentials on certain attributes from an issuer, and later show these credentials to a relying party anonymously and without fully disclosing the attributes. In this paper, we introduce the notion of (anonymous) credential schemes with encrypted attribu

  5. An Exploration of EFL Teachers' Attributions

    Science.gov (United States)

    Ghonsooly, Behzad; Ghanizadeh, Afsaneh; Ghazanfari, Mohammad; Ghabanchi, Zargham

    2015-01-01

    The present study investigated English as a foreign language (EFL) teachers' attributions of success and failure. It also set out to investigate whether these attributions vary by teachers' age, teaching experience, gender and educational level. To do so, 200 EFL teachers were selected according to convenience sampling among EFL teachers teaching…

  6. The Aestetic and Perceived Attributes of Products

    DEFF Research Database (Denmark)

    Lenau, Torben Anker; Johnson, Kara; Ashby, M.F.

    2003-01-01

    The performance of a product – technical, aesthetic or perceived – is determined by its attributes. Technical attributes of a product, such as its weight, power, scale, efficiency, cost and the chosen material or manufacturing technologies can be measured or expressed in standard, accepted, ways....

  7. Attributes Heeded When Representing an Osmosis Problem.

    Science.gov (United States)

    Zuckerman, June Trop

    Eighteen high school science students were involved in a study to determine what attributes in the problem statement they need when representing a typical osmosis problem. In order to realize this goal students were asked to solve problems aloud and to explain their answers. Included as a part of the results are the attributes that the students…

  8. Sex Differences in Attributions of Juvenile Delinquency.

    Science.gov (United States)

    Sagatun, Inger J.

    This paper is an application of attribution theory to the processing of juvenile delinquents in an attempt to understand the differential treatment of female and male offenders within the juvenile justice system. The paper explores the attributions of juvenile delinquency both by male and female minors, by male and female parents, and by male and…

  9. Attribute-Based Digital Signature System

    NARCIS (Netherlands)

    Ibraimi, Luan; Asim, Muhammad; Petkovic, Milan

    2011-01-01

    An attribute-based digital signature system comprises a signature generation unit (1) for signing a message (m) by generating a signature (s) based on a user secret key (SK) associated with a set of user attributes, wherein the signature generation unit (1) is arranged for combining the user secret

  10. Scaling Terrain Attributes By Fractal Methods

    Science.gov (United States)

    Terrain attributes derived from grid digital elevation models (DEMs) are commonly used in distributed hydrologic models. However, many attribute estimations are biased by DEM grid cell size. For example, land surface slopes estimated from 30-m DEMs are, on average, less than slopes estimated from ...

  11. A characterization of attribute evaluation in passes

    NARCIS (Netherlands)

    Alblas, Henk

    1981-01-01

    This paper describes the evaluation of semantic attributes in a bounded number of passes from left-to-right and/or from right-to-left over the derivation tree of a program. Evaluation strategies where different instances of the same attribute in any derivation tree are restricted to be evaluated in

  12. Attribute-Based Digital Signature System

    NARCIS (Netherlands)

    Ibraimi, L.; Asim, Muhammad; Petkovic, M.

    2011-01-01

    An attribute-based digital signature system comprises a signature generation unit (1) for signing a message (m) by generating a signature (s) based on a user secret key (SK) associated with a set of user attributes, wherein the signature generation unit (1) is arranged for combining the user secret

  13. Accounting Students' Perceptions of Effective Faculty Attributes

    Science.gov (United States)

    Alfraih, Mishari M.; Alanezi, Faisal S.

    2016-01-01

    Purpose: This study aims to explore the attributes of an effective accounting faculty from the student perspective. It also examines similarities and differences in the perceived importance of these attributes between bachelor's and associate's accounting degree students in two public higher education institutions in Kuwait, namely, Kuwait…

  14. The internal and external optimality of decisions based on tests

    NARCIS (Netherlands)

    van der Linden, Willem J.

    1979-01-01

    In applied measurement, test scores are usually transformed to decisions. Analogous to classical test theory, the reliability of decisions has been defined as the consistency of decisions on a test and a retest or on two parallel tests. Coefficient kappa (Cohen, 1960) is used for assessing the

  15. Reflective Decision Making among University Department Heads across Academic Disciplines

    Science.gov (United States)

    Kampmann, Jennifer A.

    2012-01-01

    Within the scope of leadership and management, decision making greatly defines the role of university administrator, in particular, the university department head and his/her ability to be a reflective practitioner in the realm of decision making. Decision making is one characteristic of university department head work which warrants close…

  16. Navigating the Decision Space: Shared Medical Decision Making as Distributed Cognition.

    Science.gov (United States)

    Lippa, Katherine D; Feufel, Markus A; Robinson, F Eric; Shalin, Valerie L

    2016-08-23

    Despite increasing prominence, little is known about the cognitive processes underlying shared decision making. To investigate these processes, we conceptualize shared decision making as a form of distributed cognition. We introduce a Decision Space Model to identify physical and social influences on decision making. Using field observations and interviews, we demonstrate that patients and physicians in both acute and chronic care consider these influences when identifying the need for a decision, searching for decision parameters, making actionable decisions Based on the distribution of access to information and actions, we then identify four related patterns: physician dominated; physician-defined, patient-made; patient-defined, physician-made; and patient-dominated decisions. Results suggests that (a) decision making is necessarily distributed between physicians and patients, (b) differential access to information and action over time requires participants to transform a distributed task into a shared decision, and (c) adverse outcomes may result from failures to integrate physician and patient reasoning. Our analysis unifies disparate findings in the medical decision-making literature and has implications for improving care and medical training.

  17. Trust and communicated attributions in close relationships.

    Science.gov (United States)

    Rempel, J K; Ross, M; Holmes, J G

    2001-07-01

    The attributional statements intimate partners communicate to one another were examined as a function of trust. In discussions by 35 married couples, 850 attributions and corresponding events were coded on dimensions of valence, globality, and locus. Results of regression and contingency analyses indicate that attributional statements expressed in high-trust relationships emphasized positive aspects of the relationship. Medium-trust couples actively engaged issues but focused more on negative events and explanations. Low-trust couples expressed more specific, less affectively extreme attributional statements that minimized the potential for increased conflict. Results could not be accounted for by relationship satisfaction. These findings also highlight the importance of focusing on features of the events for which attributions are expressed.

  18. Decision Making with Imperfect Decision Makers

    CERN Document Server

    Guy, Tatiana Valentine; Wolpert, David H

    2012-01-01

    Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, lit

  19. The Defining Characteristics of Urban Living Labs

    Directory of Open Access Journals (Sweden)

    Kris Steen

    2017-07-01

    Full Text Available The organization of supported and sustainable urban interventions is challenging, with multiple actors involved, fragmented decision-making powers, and multiple values at stake. Globally, urban living labs have become a fashionable phenomenon to tackle this challenge, fostering the development and implementation of innovation, experimentation, and knowledge in urban, real-life settings while emphasizing the important role of participation and co-creation. However, although urban living labs could in this way help cities to speed up the sustainable transition, urban living lab experts agree that, in order to truly succeed in these ambitious tasks, the way urban living labs are being shaped and steered needs further research. Yet, they also confirm the existing variation and opaqueness in the definition of the concept. This article contributes to conceptual clarity by developing an operationalized definition of urban living labs, which has been used to assess 90 sustainable urban innovation projects in the city of Amsterdam. The assessment shows that the majority of the projects that are labelled as living labs do not include one or more of the defining elements of a living lab. In particular, the defining co-creation and development activities were found to be absent in many of the projects. This article makes it possible to categorize alleged living lab projects and distill the “true” living labs from the many improperly labelled or unlabelled living labs, allowing more specific analyses and, ultimately, better targeted methodological recommendations for urban living labs.

  20. A Decision Tree Approach for Predicting Smokers' Quit Intentions

    Institute of Scientific and Technical Information of China (English)

    Xiao-Jiang Ding; Susan Bedingfield; Chung-Hsing Yeh; Ron Borland; David Young; Jian-Ying Zhang; Sonja Petrovic-Lazarevic; Ken Coghill

    2008-01-01

    This paper presents a decision treeapproach for predicting smokers' quit intentions usingthe data from the International Tobacco Control FourCountry Survey. Three rule-based classification modelsare generated from three data sets using attributes inrelation to demographics, warning labels, and smokers'beliefs. Both demographic attributes and warning labelattributes are important in predicting smokers' quitintentions. The model's ability to predict smokers' quitintentions is enhanced, if the attributes regardingsmokers' internal motivation and beliefs about quittingare included.

  1. MULTIATTRIBUTE DECISION SUPPORT AND COMPLEXITY - AN EVALUATION AND PROCESS ANALYSIS OF AIDED VERSUS UNAIDED DECISION-MAKING

    NARCIS (Netherlands)

    VLEK, C; Timmermans, D.

    The present study addresses the effectiveness of a computerized decision aid (DECAID, Pitz 1987) based on the Multi-Attribute Utility Model (MAU). The effectiveness of DECAID was investigated for personnel selection problems varying in complexity (number of alternatives and number of attributes).

  2. Defining the states of consciousness.

    Science.gov (United States)

    Tassi, P; Muzet, A

    2001-03-01

    Consciousness remains an elusive concept due to the difficulty to define what has been regarded for many years as a subjective experience, therefore irrelevant for scientific study. Recent development in this field of research has allowed to provide some new insight to a possible way to define consciousness. Going through the extensive literature in this domain, several perspectives are proposed to define this concept. (1) Consciousness and Attention may not reflect the same process. (2) Consciousness during wake and sleep may not involve the same mechanisms. (3) Besides physiological states of consciousness, human beings can experience modified states of consciousness either by self-training (transcendental meditation, hypnosis, etc.) or by drug intake (hallucinogens, anaesthetics, etc.). Altogether, we address the question of a more precise terminology, given the theoretical weight words can convey. To this respect, we propose different definitions for concepts like consciousness, vigilance, arousal and alertness as candidates to separate functional entities.

  3. Modular Software-Defined Radio

    Directory of Open Access Journals (Sweden)

    Rhiemeier Arnd-Ragnar

    2005-01-01

    Full Text Available In view of the technical and commercial boundary conditions for software-defined radio (SDR, it is suggestive to reconsider the concept anew from an unconventional point of view. The organizational principles of signal processing (rather than the signal processing algorithms themselves are the main focus of this work on modular software-defined radio. Modularity and flexibility are just two key characteristics of the SDR environment which extend smoothly into the modeling of hardware and software. In particular, the proposed model of signal processing software includes irregular, connected, directed, acyclic graphs with random node weights and random edges. Several approaches for mapping such software to a given hardware are discussed. Taking into account previous findings as well as new results from system simulations presented here, the paper finally concludes with the utility of pipelining as a general design guideline for modular software-defined radio.

  4. ENDER: A Statistical Framework for Boosting Decision Rules

    NARCIS (Netherlands)

    Dembczynski, K.; Kotlowski, W.T.; Slowinski, R.

    2010-01-01

    Induction of decision rules plays an important role in machine learning. Themain advantage of decision rules is their simplicity and human-interpretable form. Moreover, they are capable of modeling complex interactions between attributes. In this paper, we thoroughly analyze a learning algorithm, ca

  5. Model for multi-stand management based on structural attributes of individual stands

    Science.gov (United States)

    G.W. Miller; J. Sullivan

    1997-01-01

    A growing interest in managing forest ecosystems calls for decision models that take into account attribute goals for large forest areas while continuing to recognize the individual stand as a basic unit of forest management. A dynamic, nonlinear forest management model is described that schedules silvicultural treatments for individual stands that are linked by multi-...

  6. Defining the Internet of Things

    OpenAIRE

    Benghozi, Pierre-Jean; Bureau, Sylvain; Massit-Folléa, Françoise

    2012-01-01

    How can a definition be given to what does not yet exist ? The Internet of Things, as it is conceptualized by researchers or imagined by science-fiction writers such as Bruce Sterling, is not yet reality and if we try to define it accurately we risk rash predictions. In order to better comprehend this notion, let us first define the main principles of the IoT as given in research papers and reports on the subject. Definitions gradually established Almost all agree that the Internet of Things...

  7. Defining the Internet of Things

    OpenAIRE

    Benghozi, Pierre-Jean; Bureau, Sylvain; Massit-Folléa, Françoise

    2012-01-01

    How can a definition be given to what does not yet exist ? The Internet of Things, as it is conceptualized by researchers or imagined by science-fiction writers such as Bruce Sterling, is not yet reality and if we try to define it accurately we risk rash predictions. In order to better comprehend this notion, let us first define the main principles of the IoT as given in research papers and reports on the subject. Definitions gradually established Almost all agree that the Internet of Things...

  8. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette...

  9. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures...

  10. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette...

  11. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures...

  12. Decision-making Procedures

    DEFF Research Database (Denmark)

    Aldashev, Gani; Kirchsteiger, Georg; Sebald, Alexander Christopher

    2009-01-01

    is crucial for the effort exerted by agents. This prediction is tested in a field experiment, where some subjects had to type in data, whereas others had to verify the data inserted by the typists. The controllers' wage was 50% higher than that of the typists. In one treatment the less attractive typists......It is a persistent finding in psychology and experimental economics that people's behavior is not only shaped by outcomes but also by decision-making procedures. In this paper we develop a general framework capable of modelling these procedural concerns. Within the context of psychological games we...... define procedures as mechanisms that influence the probabilities of reaching different endnodes. We show that for such procedural games a sequential psychological equilibrium always exists. Applying this approach within a principal-agent context we show that the way less attractive jobs are allocated...

  13. Evaluation of an attributive measurement system in the automotive industry

    Science.gov (United States)

    Simion, C.

    2016-08-01

    Measurement System Analysis (MSA) is a critical component for any quality improvement process. MSA is defined as an experimental and mathematical method of determining how much the variation within the measurement process contributes to overall process variability and it falls into two categories: attribute and variable. Most problematic measurement system issues come from measuring attribute data, which are usually the result of human judgment (visual inspection). Because attributive measurement systems are often used in some manufacturing processes, their assessment is important to obtain the confidence in the inspection process, to see where are the problems in order to eliminate them and to guide the process improvement. It was the aim of this paper to address such a issue presenting a case study made in a local company from the Sibiu region supplying products for the automotive industry, specifically the bag (a technical textile component, i.e. the fabric) for the airbag module. Because defects are inherent in every manufacturing process and in the field of airbag systems a minor defect can influence their performance and lives depend on the safety feature, there is a stringent visual inspection required on the defects of the bag material. The purpose of this attribute MSA was: to determine if all inspectors use the same criteria to determine “pass” from “fail” product (i.e. the fabric); to assess company inspection standards against customer's requirements; to determine how well inspectors are conforming to themselves; to identify how inspectors are conforming to a “known master,” which includes: how often operators ship defective product, how often operators dispose of acceptable product; to discover areas where training is required, procedures must be developed and standards are not available. The results were analyzed using MINITAB software with its module called Attribute Agreement Analysis. The conclusion was that the inspection process must

  14. Manipulating decision making of typical agents

    CERN Document Server

    Yukalov, V I

    2014-01-01

    We investigate how the choice of decision makers can be varied under the presence of risk and uncertainty. Our analysis is based on the approach we have previously applied to individual decision makers, which we now generalize to the case of decision makers that are members of a society. The approach employs the mathematical techniques that are common in quantum theory, justifying our naming as Quantum Decision Theory. However, we do not assume that decision makers are quantum objects. The techniques of quantum theory are needed only for defining the prospect probabilities taking into account such hidden variables as behavioral biases and other subconscious feelings. The approach describes an agent's choice as a probabilistic event occurring with a probability that is the sum of a utility factor and of an attraction factor. The attraction factor embodies subjective and unconscious dimensions in the mind of the decision maker. We show that the typical aggregate amplitude of the attraction factor is $1/4$, and ...

  15. A TEMPORAL FRAMEWORK EMBEDDED IN DECISION MAKING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2014-06-01

    Full Text Available This paper shows that the influence of knowledge on new forms of work organisation can be described as mutual relationships. Different changes in work organisation also have a strong influence on the increasing importance of knowledge of different individual and collective actors in working situations. After that, we characterize a piece of basic formal system, an Extended Fuzzy Logic System (EFLS with temporal attributes, to conceptualize Distributed Knowledge Management Systems (DKMSs based on human imprecise for distributed just in time decisions. The approximate reasoning is perceived as a derivation of new formulas with the corresponding temporal attributes, within a fuzzy theory defined by the fuzzy set of special axioms. In a management application like the prototype REFK2, the reasoning is evolutionary because of unexpected events which may change the state of the DKMS. In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain for which these are true. These last aspects stand as possible further directions of development at a basic logic level for future technologies that must automate knowledge organizational processes.

  16. Predictors of attributional style change in children.

    Science.gov (United States)

    Gibb, Brandon E; Alloy, Lauren B; Walshaw, Patricia D; Comer, Jonathan S; Shen, Gail H C; Villari, Annette G

    2006-06-01

    A number of studies have supported the hypothesis that negative attributional styles may confer vulnerability to the development of depression. The goal of this study was to explore factors that may contribute to the development of negative attributional styles in children. As hypothesized, elevated levels of depressive symptoms and hopelessness at the initial assessment predicted negative changes in children's attributional styles over the 6-month follow-up period. In addition, elevated levels of verbal victimization occurring between the 2 assessments, as well as that occurring in the 6 months preceding the initial assessment, prospectively predicted negative changes in children's attributional styles over the follow-up. Further, initial depressive symptoms and verbal victimization during the follow-up continued to significantly predict attributional style change even when the overlap among the predictors was statistically controlled. Contrary to the hypotheses, however, neither parent-reported levels of overall negative life events nor parents' attributions for their children's events predicted changes in children's attributional styles.

  17. Algorithms for Decision Tree Construction

    KAUST Repository

    Chikalov, Igor

    2011-01-01

    The study of algorithms for decision tree construction was initiated in 1960s. The first algorithms are based on the separation heuristic [13, 31] that at each step tries dividing the set of objects as evenly as possible. Later Garey and Graham [28] showed that such algorithm may construct decision trees whose average depth is arbitrarily far from the minimum. Hyafil and Rivest in [35] proved NP-hardness of DT problem that is constructing a tree with the minimum average depth for a diagnostic problem over 2-valued information system and uniform probability distribution. Cox et al. in [22] showed that for a two-class problem over information system, even finding the root node attribute for an optimal tree is an NP-hard problem. © Springer-Verlag Berlin Heidelberg 2011.

  18. Defined medium for Moraxella bovis.

    OpenAIRE

    Juni, E; Heym, G A

    1986-01-01

    A defined medium (medium MB) for Moraxella bovis was formulated. Nineteen strains grew well on medium MB. One strain was auxotrophic for asparagine, and another was auxotrophic for methionine. Strains of M. equi and M. lacunata also grew on medium MB. All strains had an absolute requirement for thiamine and were stimulated by or actually required the other growth factors in the medium.

  19. Indico CONFERENCE: Define the Programme

    CERN Document Server

    CERN. Geneva; Ferreira, Pedro

    2017-01-01

    In this tutorial you are going to learn how to define the programme of a conference in Indico. The program of your conference is divided in different “tracks”. Tracks represent the subject matter of the conference, such as “Online Computing”, “Offline Computing”, and so on.

  20. Defining and Measuring User Experience

    DEFF Research Database (Denmark)

    Stage, Jan

    2006-01-01

    on the intrinsic relation between definition and measurement. In the area of usability, this relation has been developed over several years. It is described how usability is defined and measured in contemporary approaches. Based on that, it is discussed to what extent we can employ experience from the conceptual...

  1. Defining sphincter of oddi dysfunction

    DEFF Research Database (Denmark)

    Funch-Jensen, P

    1996-01-01

    Sphincter of Oddi (SO) dysmotility may give rise to pain. The golden standard for the demonstration of SO dysfunction is endoscopic manometry. A number of abnormalities are observed in patients with postcholecystectomy pain and in patients with idiopathic recurrent pancreatitis. Criteria for defi...... for defining SO dysfunction and the possible mechanisms for the precipitation of pain are discussed....

  2. Defined medium for Moraxella bovis.

    Science.gov (United States)

    Juni, E; Heym, G A

    1986-10-01

    A defined medium (medium MB) for Moraxella bovis was formulated. Nineteen strains grew well on medium MB. One strain was auxotrophic for asparagine, and another was auxotrophic for methionine. Strains of M. equi and M. lacunata also grew on medium MB. All strains had an absolute requirement for thiamine and were stimulated by or actually required the other growth factors in the medium.

  3. Defined medium for Moraxella bovis.

    OpenAIRE

    1986-01-01

    A defined medium (medium MB) for Moraxella bovis was formulated. Nineteen strains grew well on medium MB. One strain was auxotrophic for asparagine, and another was auxotrophic for methionine. Strains of M. equi and M. lacunata also grew on medium MB. All strains had an absolute requirement for thiamine and were stimulated by or actually required the other growth factors in the medium.

  4. Network Coded Software Defined Networking

    DEFF Research Database (Denmark)

    Krigslund, Jeppe; Hansen, Jonas; Roetter, Daniel Enrique Lucani

    2015-01-01

    Software Defined Networking (SDN) and Network Coding (NC) are two key concepts in networking that have garnered a large attention in recent years. On the one hand, SDN's potential to virtualize services in the Internet allows a large flexibility not only for routing data, but also to manage buffe...

  5. Defining and Differentiating the Makerspace

    Science.gov (United States)

    Dousay, Tonia A.

    2017-01-01

    Many resources now punctuate the maker movement landscape. However, some schools and communities still struggle to understand this burgeoning movement. How do we define these spaces and differentiate them from previous labs and shops? Through a multidimensional framework, stakeholders should consider how the structure, access, staffing, and tools…

  6. Causal Attributions for Poverty in Developing Countries

    Directory of Open Access Journals (Sweden)

    José Juan Vázquez

    2009-07-01

    Full Text Available This paper analyzes attributional differences about causes of poverty in the less developed countries, among Nicaraguan ("actors" and Spanish ("observers" undergraduates. A self–applied questionnaire was used. It included socio–demographic questions and an adaptation of the "Causes of Third World Poverty Questionnaire" (CTWPQ. Results show agreement between Spanish and Nicaraguan in attributions about the main causes of poverty in the less developed countries, although there are differences about the perception of the incidence of the different causes in that situation. Nicaraguan students consider, as causes of poverty, more dispositional attributes about the population in those countries.

  7. Salmonella source attribution based on microbial subtyping

    DEFF Research Database (Denmark)

    Barco, Lisa; Barrucci, Federica; Olsen, John Elmerdahl

    2013-01-01

    Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping...... source attribution models have been implemented by using serotyping and phage-typing data. Molecular-based methods may prove to be similarly valuable in the future, as already demonstrated for other food-borne pathogens like Campylobacter. This review assesses the state of the art concerning Salmonella...... in the context of their potential applicability for Salmonella source attribution studies....

  8. The Role of Empathy in Mental Attribution

    Directory of Open Access Journals (Sweden)

    Brunsteins, Patricia

    2011-05-01

    Full Text Available This work examines in what extent a notion of empathy may clarify mindreading’s debate. Taking into account an interdisciplinary and integrative notion of empathy, compatibility with mental attribution strategies both mental simulation and theory-theory, in non pure versions, is evaluated. Firstly, new empirical research is supposed to contribute strengthening an integrative empathy instead of theory-theory or mental simulation `s points of view. Secondly, new empirical research will bring better tools to distinguish between empathy and simulation. Consequently, the relationship between empathy and mental attribution theories may be better delimited and a full mental attribution theory may possibly be proposed.

  9. A calculus for attribute-based communication

    DEFF Research Database (Denmark)

    Alrahman, Yehia Abd; De Nicola, Rocco; Loreti, Michele

    2015-01-01

    The notion of attribute-based communication seems promising to model and analyse systems with huge numbers of interacting components that dynamically adjust and combine their behaviour to achieve specific goals. A basic process calculus, named AbC, is introduced that has as primitive construct...... exactly attribute-based communication and its impact on the above mentioned kind of systems is considered. An AbC system consists of a set of parallel components each of which is equipped with a set of attributes. Communication takes place in a broadcast fashion and communication links among components...

  10. Defining excellence in vascular neurosurgery.

    Science.gov (United States)

    Sanai, Nader; Spetzler, Robert F

    2010-01-01

    Success as a vascular neurosurgeon almost always begins with passion, an inherent love for the work that drives an insatiable desire for personal improvement. A personal definition of excellence in vascular neurosurgery includes several fundamental qualities: mastery of the basics, refinement of technique, advancement of technology, investigative study, advanced decision making, microsurgical innovation, a well-rounded surgical armamentarium, and a lifelong commitment to teaching. Ultimately, the reward for these efforts is the ability to influence generations to come, particularly as one follows the rising careers of former trainees, each redefining the term "excellence" in vascular neurosurgery.

  11. Preference for pharmaceutical formulation and treatment process attributes

    Directory of Open Access Journals (Sweden)

    Stewart KD

    2016-07-01

    , acute vs chronic and patient (eg, injection experience characteristics.Conclusion: Despite heterogeneity in study methods and design, some general patterns of preference clearly emerged. Overall, the results of this review suggest that treatment process has a quantifiable impact on preference and willingness to pay for treatment, even in many situations where safety and efficacy were the primary concerns. Patient preferences for treatment process attributes can inform drug development decisions to better meet the needs of patients and deliver improved outcomes. Keywords: preference, treatment process, pharmaceutical formulation, conjoint, utility, contingent valuation

  12. 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.

  13. Optimization of decision rules based on dynamic programming approach

    KAUST Repository

    Zielosko, Beata

    2014-01-14

    This chapter is devoted to the study of an extension of dynamic programming approach which allows optimization of approximate decision rules relative to the length and coverage. We introduce an uncertainty measure that is the difference between number of rows in a given decision table and the number of rows labeled with the most common decision for this table divided by the number of rows in the decision table. We fix a threshold γ, such that 0 ≤ γ < 1, and study so-called γ-decision rules (approximate decision rules) that localize rows in subtables which uncertainty is at most γ. Presented algorithm constructs a directed acyclic graph Δ γ T which nodes are subtables of the decision table T given by pairs "attribute = value". The algorithm finishes the partitioning of a subtable when its uncertainty is at most γ. The chapter contains also results of experiments with decision tables from UCI Machine Learning Repository. © 2014 Springer International Publishing Switzerland.

  14. Creating an organizational culture for evidence-informed decision making.

    Science.gov (United States)

    Ward, Megan; Mowat, David

    2012-01-01

    A public health department in Ontario, Canada, set a 10-year strategic direction for evidence-informed decision making, defined as the systematic application of research evidence to program decisions. The multifaceted approach has identified eight key lessons for leadership, funding, infrastructure, staff development, partnerships, and change management. Results after 4 years include systematic and transparent application of research to > 15 program decisions and, increasingly, evidence-informed decision making as a cultural norm.

  15. Continuous Attributes Discretization Algorithm based on FPGA

    Directory of Open Access Journals (Sweden)

    Guoqiang Sun

    2013-07-01

    Full Text Available The paper addresses the problem of Discretization of continuous attributes in rough set. Discretization of continuous attributes is an important part of rough set theory because most of data that we usually gain are continuous data. In order to improve processing speed of discretization, we propose a FPGA-based discretization algorithm of continuous attributes making use of the speed advantage of FPGA. Combined attributes dependency degree of rough ret, the discretization system was divided into eight modules according to block design. This method can save much time of pretreatment in rough set and improve operation efficiency. Extensive experiments on a certain fighter fault diagnosis validate the effectiveness of the algorithm.  

  16. Object attributes combine additively in visual search.

    Science.gov (United States)

    Pramod, R T; Arun, S P

    2016-01-01

    We perceive objects as containing a variety of attributes: local features, relations between features, internal details, and global properties. But we know little about how they combine. Here, we report a remarkably simple additive rule that governs how these diverse object attributes combine in vision. The perceived dissimilarity between two objects was accurately explained as a sum of (a) spatially tuned local contour-matching processes modulated by part decomposition; (b) differences in internal details, such as texture; (c) differences in emergent attributes, such as symmetry; and (d) differences in global properties, such as orientation or overall configuration of parts. Our results elucidate an enduring question in object vision by showing that the whole object is not a sum of its parts but a sum of its many attributes.

  17. Generating Decision Trees Method Based on Improved ID3 Algorithm

    Institute of Scientific and Technical Information of China (English)

    Yang Ming; Guo Shuxu1; Wang Jun3

    2011-01-01

    The ID3 algorithm is a classical learning algorithm of decision tree in data mining.The algorithm trends to choosing the attribute with more values,affect the efficiency of classification and prediction for building a decision tree.This article proposes a new approach based on an improved ID3 algorithm.The new algorithm introduces the importance factor λ when calculating the information entropy.It can strengthen the label of important attributes of a tree and reduce the label of non-important attributes.The algorithm overcomes the flaw of the traditional ID3 algorithm which tends to choose the attributes with more values,and also improves the efficiency and flexibility in the process of generating decision trees.

  18. Quality Attribute Driven Software Architecture Reconstruction

    Science.gov (United States)

    2016-06-21

    3890 Quality Attribute Driven Software Architecture Reconstruction SATURN Workshop April 7, 2005 Liam O’Brien © 2005 by Carnegie Mellon University...Version 1.0 QADSAR – SATURN 2005 - page 2 Motivation - 1 • Software architectures are critical to implement an organization’s business goals and critical...Attribute Driven Software Architecture Reconstruction 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER

  19. Use of seismic attributes for sediment classification

    Directory of Open Access Journals (Sweden)

    Fabio Radomille Santana

    2015-04-01

    Full Text Available A study to understand the relationships between seismic attributes extracted from 2D high-resolution seismic data and the seafloor's sediments of the surveyed area. As seismic attributes are features highly influenced by the medium through which the seismic waves are propagated, the authors can assume that it would be possible to characterise the geological nature of the seafloor by using these attributes. Herein, a survey was performed on the continental margin of the South Shetland Islands in Antarctica, where both 2D high-resolution seismic data and sediment gravity cores samples were simultaneously acquired. A computational script was written to extract the seismic attributes from the data, which have been statistically analysed with clustering analyses, such as principal components analysis, dendrograms and k-means classification. The extracted seismic attributes are the amplitude, the instantaneous phase, the instantaneous frequency, the envelope, the time derivative of the envelope, the second derivative of the envelope and the acceleration of phase. Statistical evaluation showed that geological classification of the seafloor's sediments is possible by associating these attributes according to their coherence. The methodologies here developed seem to be appropriate for glacio-marine environment and coarse-to-medium silt sediment found in the study area and may be applied to other regions in the same geological conditions.

  20. Attribution bias and social anxiety in schizophrenia

    Directory of Open Access Journals (Sweden)

    Amelie M. Achim

    2016-06-01

    Full Text Available Studies on attribution biases in schizophrenia have produced mixed results, whereas such biases have been more consistently reported in people with anxiety disorders. Anxiety comorbidities are frequent in schizophrenia, in particular social anxiety disorder, which could influence their patterns of attribution biases. The objective of the present study was thus to determine if individuals with schizophrenia and a comorbid social anxiety disorder (SZ+ show distinct attribution biases as compared with individuals with schizophrenia without social anxiety (SZ− and healthy controls. Attribution biases were assessed with the Internal, Personal, and Situational Attributions Questionnaire in 41 individual with schizophrenia and 41 healthy controls. Results revealed the lack of the normal externalizing bias in SZ+, whereas SZ− did not significantly differ from healthy controls on this dimension. The personalizing bias was not influenced by social anxiety but was in contrast linked with delusions, with a greater personalizing bias in individuals with current delusions. Future studies on attribution biases in schizophrenia should carefully document symptom presentation, including social anxiety.