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Fuzzy Multiple Objective Decision Making : Methods and Applications / by Young-Jou Lai, Ching-Lai Hwang
(Lecture Notes in Economics and Mathematical Systems. ISSN:21969957 ; 404)
版 | 1st ed. 1994. |
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出版者 | (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer) |
出版年 | 1994 |
大きさ | XIV, 482 p : online resource |
著者標目 | *Lai, Young-Jou author Hwang, Ching-Lai author SpringerLink (Online service) |
件 名 | LCSH:Mathematical logic LCSH:Operations research LCSH:Artificial intelligence LCSH:Industrial engineering LCSH:Production engineering FREE:Mathematical Logic and Foundations FREE:Operations Research and Decision Theory FREE:Artificial Intelligence FREE:Industrial and Production Engineering |
一般注記 | 1 Introduction -- 1.1 Objectives of This Study -- 1.2 (Fuzzy) Multiple Objective Decision Making -- 1.3 Classification of (Fuzzy) Multiple Objective Decision Making -- 1.4 Applications of (Fuzzy) Multiple Objective Decision Making -- 1.5 Literature Survey -- 1.6 Fuzzy Sets -- 2 Multiple Objective Decision Making -- 2.1 Introduction -- 2.2 Goal Programming -- 2.3 Fuzzy Programming -- 2.4 Global Criterion Approach -- 2.5 Interactive Multiple Objective Decision Making -- 2.6 Multiple Objective Linear Fractional Programming -- 2.7 Multiple Objective Geometric Programming -- Example -- 3 Fuzzy Multiple Objective Decision Making -- 3.1 Fuzzy Goal Programming -- 3.2 Fuzzy Global Criterion -- Example -- 3.3 Interactive Fuzzy Multiple Objective Decision Making -- 4 Possibilistic Multiple Objective Decision Making -- 4.1 Introduction -- 4.2 Possibilistic Multiple Objective Decision Making -- 4.3 Interactive Methods for PMODM -- 4.4 Hybrid Problems -- 4.5 Possibilistic Multiple Objective Linear Fractional Programming -- 4.6 Interactive Possibilistic Regression -- 5 Concluding Remarks -- 5.1 Future Research -- 5.2 Fuzzy Mathematical Programming -- 5.3 Multiple Attribute Decision Making -- 5.4 Fuzzy Multiple Attribute Decision Making -- 5.5 Group Decision Making under Multiple Criteria -- Books, Monographs and Conference Proceedings -- Journal Articles, Technical Reports and Theses -- Appendix: Stochastic Programming -- A.1 Stochastic Programming with a Single Objective Function -- A.1.1 Distribution Problems -- A.1.2 Two-Stage Programming -- A.1.3 Chance-Constrained Programming -- A.2 Stochastic Programming with Multiple Objective Functions -- A.2.1 Distribution Problem -- A.2.2 Goal Programming Problem -- A.2.3 Utility Function Problem -- A.2.4 Interactive Problem -- References In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topic HTTP:URL=https://doi.org/10.1007/978-3-642-57949-3 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783642579493 |
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EB00204449 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA8.9-10.3 DC23:511.3 |
書誌ID | 4000109994 |
ISBN | 9783642579493 |
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