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Multicriterion Decision in Practice

  • Jean-Charles Pomerol
  • Sergio Barba-Romero
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 25)

Abstract

The previous chapter was about software for multicriterion decision; in fact we could almost have called it multicriterion choice, for the vast majority of this software carries out aggregation, and hence choice, at the expense of other types of support which, as we have stated several times, ought to embrace the whole process of decision making. This overall support is probably more typical of multicriterion DSS (Decision Support System) than of multicriterion analysis programs. Leaving aside now questions of theory and software, in this chapter we deal with problems and advantages of multicriterion decision in actual practice. We begin by recalling the salient features and advantages of multicriterion modeling; we shall also be examining the various phases and individuals involved in practical multicriterion decision. We go on to discuss modeling, aggregation and finally fields of application.

Keywords

Decision Maker Analytic Hierarchy Process Decision Matrix Noise Pollution Multiple Criterion Decision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2000

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

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