Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for structuring preferences and determining the correct relative weights for criteria. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. They also propose a novel hybrid MADM model that combines DEMATEL and analytic network process (ANP) with VIKOR procedures. The first part of the book focuses on the theory of each method and includes examples that can be calculated without a computer, providing a complete understanding of the procedures. Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be used to solve real-world MADM problems. Applications covered in the book include: AHP to select planning and design services for a construction project TOPSIS and VIKOR to evaluate the best alternative-fuel vehicles for urban areas ELECTRE to solve network design problems in urban transportation planning PROMETEE to set priorities for the development of new energy systems, from solar thermal to hydrogen energy Fuzzy integrals to evaluate enterprise intranet web sites Rough sets to make decisions in insurance marketing Helping readers understand how to apply MADM techniques to their decision making, this book is suitable for undergraduate and graduate students as well as practitioners.
Introduction Profile of Multiple Criterion Decision Making Historical Development of Multiple Attribute Decision Making Historical Development of Multiple Objective Decision Making Introduction to Fuzzy Sets Outline of this Book PART I CONCEPTS AND THEORY OF MADM Analytic Hierarchy Process Eigenvalue Method Geometric Mean Method Linear Programming Method Fuzzy Lambda-Max Method Analytic Network Process and Fuzzy Analytic Network Process Analytic Network Process Fuzzy Analytic Network Process A Matrix Method for Fuzzy Analytic Network Process Simple Additive Weighting Method Simple Additive Weighting Method Fuzzy Simple Additive Weighting Fuzzy Simple Additive Weighting for the Best Plan: Example of an Environment-Watershed Plan Fuzzy Multiple Criteria Decision-Making TOPSIS and VIKOR TOPSIS VIKOR Comparing VIKOR and TOPSIS Fuzzy TOPSIS ELECTRE Method ELECTRE I ELECTRE II ELECTRE III ELECTRE IV PROMETHEE Method The Notion of the PROMETHEE Method PROMETHEE I, II, III, IV Example for House Selection Gray Relational Model Concepts of Gray System and Gray Relation Gray Relation Model Gray Relation for Multiple Criteria Evaluation Example for Car Selection Fuzzy Integral Technique Fuzzy Integral Hierarchical Fuzzy Integral Rough Sets Information System Indiscernible Relation Approximation of Sets and Approximation of Accuracy Reduction of Attributes Decision Table and Decision Rules The Analytical Procedure of Data Analysis Structural Model Interpretive Structural Modeling Method Dematel Method Fuzzy Cognition Maps PART II APPLICATIONS OF MADM AHP: An Application Introduction Planning and Design Alternatives Evaluation Model Case of Selecting the Engineering Service for Public Buildings Discussions Conclusion A VIKOR Technique with Applications Based on DEMATEL and ANP Introduction A Novel Hybrid Multiple Criteria Decision Making model Numerical Example with Applications Discussions and Comparisons Conclusions TOPSIS and VIKOR: An Application Alternative Solutions Evaluation Criteria Evaluation of the Alternatives Multicriteria Optimization Conclusions ELECTRE: An Application Introduction Multiple Objective Equilibrium Network Design Problem Modeling the Network Improvement Problem with Multiobjective Decision Making The Model and the Solution of the Bilevel Multiobjective Network Design The Evaluation and Group Decision Making for Network Improvement Project Conclusions and Recommendations PROMETEE: An Application Introduction Solar Thermal Energy Solar Photovoltaics Fuel Cells Wind Energy Biofuels Geothermal Energy Ocean Energy Hydrogen Energy Evaluation of New Energy-Development Alternatives Application of AHP Application of PROMETHEE Conclusions Gray Relation: An Application Introduction Non-additive Type Fuzzy Multicriteria Evaluation Multicriteria Evaluation through the Fuzzy Integral Multiple Criteria Evaluation of the Gray Relation Model Constructing the Gray Relation Model with Non-Additive Measures Empirical Analysis: A Case Study of Taiwan's Junior Colleges Problem Descriptions Constructing a Multiple Criteria Evaluation Systems Analysis Procedures Analysis Results and Discussions Conclusions Appendices Fuzzy Integral: An Application Introduction Modeling the Hierarchical Structure of the Choquet Integral Empirical Case: Fuzzy Integral for Enterprise Intranet Web Sites Conclusions Appendices Rough Sets: An Application Introduction Illustrative Empirical Study: A Case for Making Insurance Marketing Decisions Study of Customer Needs and Reason for No Purchase Empirical Result Discussions Conclusions Appendices Extending the DEMATEL Method for Group Decision Making in Fuzzy Environments Introduction Dematel and Fuzzy Group Decision Making The Analytical Procedure of the Proposed Methodology Application of the Proposed Methodology Conclusions Appendix Appendix References Index
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