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Multicriterion Decision in Management

Principles and Practice

  • Jean-Charles Pomerol
  • Sergio Barba-Romero

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 25)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 1-16
  3. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 17-56
  4. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 57-74
  5. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 75-104
  6. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 105-143
  7. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 145-178
  8. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 179-204
  9. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 205-230
  10. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 231-270
  11. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 271-298
  12. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 299-326
  13. Jean-Charles Pomerol, Sergio Barba-Romero
    Pages 327-347
  14. Back Matter
    Pages 349-395

About this book

Introduction

Multicriterion Decision in Management: Principles and Practice is the first multicriterion analysis book devoted exclusively to discrete multicriterion decision making. Typically, multicriterion analysis is used in two distinct frameworks: Firstly, there is multiple criteria linear programming, which is an extension of the results of linear programming and its associated algorithms. Secondly, there is discrete multicriterion decision making, which is concerned with choices among a finite number of possible alternatives such as projects, investments, decisions, etc. This is the focus of this book.
The book concentrates on the basic principles in the domain of discrete multicriterion analysis, and examines each of these principles in terms of their properties and their implications. In multicriterion decision analysis, any optimum in the strict sense of the term does not exist. Rather, multicriterion decision making utilizes tools, methods, and thinking to examine several solutions, each having their advantages and disadvantages, depending on one's point of view. Actually, various methods exist for reaching a good choice in a multicriterion setting and even a complete ranking of the alternatives. The book describes and compares these methods, so-called `aggregation methods', with their advantages and their shortcomings. Clearly, organizations are becoming more complex, and it is becoming harder and harder to disregard complexity of points of view, motivations, and objectives. The day of the single objective (profit, social environment, etc. ) is over and the wishes of all those involved in all their diversity must be taken into account. To do this, a basic knowledge of multicriterion decision analysis is necessary. The objective of this book is to supply that knowledge and enable it to be applied.
The book is intended for use by practitioners (managers, consultants), researchers, and students in engineering and business.

Keywords

Extension algorithms artificial intelligence business calculus complexity decision analysis decision making intelligence knowledge linear optimization management organization programming

Authors and affiliations

  • Jean-Charles Pomerol
    • 1
  • Sergio Barba-Romero
    • 2
  1. 1.Université Pierre et Marie Curie de ParisFrance
  2. 2.Universidad de Alcala de HenaresSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4459-3
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7008-6
  • Online ISBN 978-1-4615-4459-3
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site