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Multicriteria Decision Making

Advances in MCDM Models, Algorithms, Theory, and Applications

  • Tomas Gal
  • Theodor J. Stewart
  • Thomas Hanne

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 21)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Hirotaka Nakayama
    Pages 69-97
  3. Carlos A. Bana e Costa, Jean-Claude Vansnick
    Pages 99-121
  4. Tetsuzo Tanino
    Pages 173-201
  5. Sang M. Lee, David L. Olson
    Pages 203-235
  6. Andrzej P. Wierzbicki
    Pages 237-275
  7. Theodor J. Stewart
    Pages 277-304
  8. Philippe Vincke
    Pages 305-333
  9. Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
    Pages 397-455
  10. Patrice Perny, Jean-Charles Pomerol
    Pages 457-499
  11. Andrew J. Chipperfield, James F. Whidborne, Peter J. Fleming
    Pages 501-532
  12. Back Matter
    Pages 533-538

About this book

Introduction

At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide.
Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together `state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.

Keywords

algorithms calculus linear optimization multi-objective optimization optimization

Editors and affiliations

  • Tomas Gal
    • 1
  • Theodor J. Stewart
    • 2
  • Thomas Hanne
    • 1
  1. 1.Fern Universität, HagenGermany
  2. 2.University of Cape TownRep. of South Africa

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-5025-9
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7283-7
  • Online ISBN 978-1-4615-5025-9
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site
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