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Multiple-Criteria Decision Making

Concepts, Techniques, and Extensions

  • Book
  • © 1985

Overview

Authors:
  1. Po-Lung Yu

    1. University of Kansas, Lawrence, USA

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Part of the book series: Mathematical Concepts and Methods in Science and Engineering (MCSENG, volume 30)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Po-Lung Yu
    Pages 1-5

  3. Binary Relations

    • Po-Lung Yu
    Pages 7-19

  4. Pareto Optimal or Efficient Solutions

    • Po-Lung Yu
    Pages 21-53

  5. Goal Setting and Compromise Solutions

    • Po-Lung Yu
    Pages 55-94

  6. Value Function

    • Po-Lung Yu
    Pages 95-111

  7. Some Basic Techniques for Constructing Value Functions

    • Po-Lung Yu
    Pages 113-161

  8. Domination Structures and Nondominated Solutions

    • Po-Lung Yu
    Pages 163-214

  9. Linear Cases, MC- and MC2-Simplex Methods

    • Po-Lung Yu
    Pages 215-270

  10. Behavioral Bases and Habitual Domains of Decision Making

    • Po-Lung Yu
    Pages 271-324

  11. Further Topics

    • Po-Lung Yu
    Pages 325-360

  12. Back Matter

    Pages 361-388
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Keywords

About this book

This book is an outgrowth of formal graduate courses in multiple-criteria decision making (MCDM) that the author has taught at the University of Rochester, University of Texas at Austin, and University of Kansas since 1972. The purpose is, on one hand, to offer the reader an integral and systematic view of various concepts and techniques in MCDM at an "introductory" level, and, on the other hand, to provide a basic conception of the human decision mechanism, which may improve our ability to apply the techniques we have learned and may broaden our llJ.ind for modeling human decision making. The book is written with a goal in mind that the reader should be able to assimilate and benefit from most of the concepts in the book if he has the mathematical maturity equivalent to a course in operations research or optimiz­ ation theory. Good training in linear and nonlinear programming is sufficient to digest, perhaps easily, most of the concepts in the book.

Authors and Affiliations

  • University of Kansas, Lawrence, USA

    Po-Lung Yu

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