Fuzzy Multiple Attribute Decision Making

1. Front Matter

   Pages I-XII

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2. Introduction

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 1-15

3. Multiple Attribute Decision Making — An Overview

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 16-41

4. Fuzzy Sets and Their Operations

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 42-100

5. Fuzzy Ranking Methods

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 101-288

6. Fuzzy Multiple Attribute Decision Making Methods

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 289-486

7. Concluding Remarks

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 487-504

8. Bibliography

   • Shu-Jen Chen, Ching-Lai Hwang

   Pages 505-536

9. Back Matter

   Pages 537-540

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This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Applications" (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores.

• Entscheidungstheorie
• Fuzzy
• Fuzzy Ranking
• Fuzzy Sets
• M.A.D.M
• Maxima
• Operator
• Unscharfe Mengen
• algorithm
• classification
• fuzzy set
• game theory
• modeling
• optimization
• proof

• HTX International Inc., Manhattan, USA

  Shu-Jen Chen

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

  Ching-Lai Hwang

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