Fuzzy Multiple Attribute Decision Making

Methods and Applications

  • Shu-Jen Chen
  • Ching-Lai Hwang

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 375)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Shu-Jen Chen, Ching-Lai Hwang
    Pages 1-15
  3. Shu-Jen Chen, Ching-Lai Hwang
    Pages 16-41
  4. Shu-Jen Chen, Ching-Lai Hwang
    Pages 42-100
  5. Shu-Jen Chen, Ching-Lai Hwang
    Pages 101-288
  6. Shu-Jen Chen, Ching-Lai Hwang
    Pages 289-486
  7. Shu-Jen Chen, Ching-Lai Hwang
    Pages 487-504
  8. Shu-Jen Chen, Ching-Lai Hwang
    Pages 505-536
  9. Back Matter
    Pages 537-540

About this book


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

Authors and affiliations

  • Shu-Jen Chen
    • 1
  • Ching-Lai Hwang
    • 2
  1. 1.HTX International Inc.ManhattanUSA
  2. 2.Department of Industrial EngineeringKansas State UniversityManhattanUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-54998-7
  • Online ISBN 978-3-642-46768-4
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site
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