Fuzzy Multiple Objective Decision Making

1. Front Matter

   Pages I-XIV

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2. Introduction

   • Young-Jou Lai, Ching-Lai Hwang

   Pages 1-26

3. Multiple Objective Decision Making

   • Young-Jou Lai, Ching-Lai Hwang

   Pages 27-138

4. Fuzzy Multiple Objective Decision Making

   • Young-Jou Lai, Ching-Lai Hwang

   Pages 139-262

5. Possibilistic Multiple Objective Decision Making

   • Young-Jou Lai, Ching-Lai Hwang

   Pages 263-393

6. Concluding Remarks

   • Young-Jou Lai, Ching-Lai Hwang

   Pages 394-409

7. Back Matter

   Pages 410-482

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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.

• Decision Theory
• Fuzzy Sets
• Mathematical Programming
• Mathematische Programmierung
• modeling
• operations research
• set theory

• Department of Industrial Engineering, Kansas State University, Manhattan, USA

  Young-Jou Lai, Ching-Lai Hwang

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