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|a 10.1007/978-3-642-57949-3
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| 100 |
1 |
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|a Lai, Young-Jou.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
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|a Fuzzy Multiple Objective Decision Making
|h [electronic resource] :
|b Methods and Applications /
|c by Young-Jou Lai, Ching-Lai Hwang.
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| 250 |
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|a 1st ed. 1994.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 1994.
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| 300 |
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|a XIV, 482 p.
|b online resource.
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| 490 |
1 |
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|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 404
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
0 |
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|a 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.
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| 520 |
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|a 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.
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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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|a Mathematical logic.
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| 650 |
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|a Operations research.
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| 650 |
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|a Decision making.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Industrial engineering.
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| 650 |
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|a Production engineering.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
1 |
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|a Hwang, Ching-Lai.
|e author.
|4 aut
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