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|a 9783642579493
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|a Lai, Young-Jou
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|a Fuzzy Multiple Objective Decision Making
|h Elektronische Ressource
|b Methods and Applications
|c by Young-Jou Lai, Ching-Lai Hwang
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|a 1st ed. 1994
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1994, 1994
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|a XIV, 482 p
|b online resource
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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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|a Operations research
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|a Industrial engineering
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|a Mathematical logic
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|a Operations Research/Decision Theory
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653 |
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|a Artificial Intelligence
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653 |
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|a Mathematical Logic and Foundations
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653 |
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|a Artificial intelligence
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653 |
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|a Decision making
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653 |
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|a Industrial and Production Engineering
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653 |
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|a Production engineering
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1 |
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|a Hwang, Ching-Lai
|e [author]
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|a eng
|2 ISO 639-2
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|b SBA
|a Springer Book Archives -2004
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|a Lecture Notes in Economics and Mathematical Systems
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|u https://doi.org/10.1007/978-3-642-57949-3?nosfx=y
|x Verlag
|3 Volltext
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|a 511.3
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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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