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Multiple Attribute Decision Making

Methods and Applications A State-of-the-Art Survey

  • Textbook
  • © 1981

Overview

Authors:
  1. Ching-Lai Hwang

    1. Dept. of Industrial Engineering, Durland Hall, Kansas State University, Manhattan, USA

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  2. Kwangsun Yoon

    1. Dept. of Industrial Engineering and Management Science, Fairleigh Dickinson University, Teaneck, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 186)

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Table of contents (6 chapters)

  1. Front Matter

    Pages N2-XI
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  2. Introduction

    • Ching-Lai Hwang, Kwangsun Yoon
    Pages 1-15

  3. Basic Concepts and Foundations

    • Ching-Lai Hwang, Kwangsun Yoon
    Pages 16-57

  4. Methods for Multiple Attribute Decision Making

    • Ching-Lai Hwang, Kwangsun Yoon
    Pages 58-191

  5. Applications

    • Ching-Lai Hwang, Kwangsun Yoon
    Pages 192-206

  6. Concluding Remarks

    • Ching-Lai Hwang, Kwangsun Yoon
    Pages 207-225

  7. Bibliography

    • Ching-Lai Hwang, Kwangsun Yoon
    Pages 226-259

  8. Back Matter

    Pages 263-269
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Keywords

About this book

This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous work entitled "Multiple Objective Decision Making--Methods and Applications: A State-of-the-Art Survey," (No. 164 of the Lecture Notes). The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. This study provides readers with a capsule look into the existing methods, their char­ acteristics, and applicability to analysis of MADM problems. The basic MADM concepts are defined and a standard notation is introduced in Part 11. Also introduced are foundations such as models for MADM, trans­ formation of attributes, fuzzy decision rules, and methods for assessing weight. A system of classifying seventeen major MADM methods is presented. These methods have been proposed by researchers in diversified disciplines; half of them are classical ones, but the other half have appeared recently. The basic concept, the computational procedure, and the characteristics of each of these methods are presented concisely in Part 111. The computational procedure of each method is illustrated by solving a simple numerical example. Part IV of the survey deals with the applications of these MADM methods.

Authors and Affiliations

  • Dept. of Industrial Engineering, Durland Hall, Kansas State University, Manhattan, USA

    Ching-Lai Hwang

  • Dept. of Industrial Engineering and Management Science, Fairleigh Dickinson University, Teaneck, USA

    Kwangsun Yoon

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