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Inverse Analysis from a Condorcet Robustness Denotation of Valued Outranking Relations

  • Raymond Bisdorff
  • Patrick Meyer
  • Thomas Veneziano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5783)

Abstract

In this article we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pairwise outranking statements in a Multiple Criteria Decision Aiding process. The main result consists in showing that with the help of a mixed integer linear programming model this kind of a priori knowledge is sufficient for estimating adequate numerical significance weights.

Keywords

inverse Multiple Criteria Decision Analysis significance weights ellicitation uncertainty robustness 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Raymond Bisdorff
    • 1
  • Patrick Meyer
    • 2
    • 3
  • Thomas Veneziano
    • 1
  1. 1.Faculty of Sciences, Technology, and Communication Computer Science and Communications Research Unit Interdisciplinary Lab for Intelligent and Adaptive SystemsUniversity of LuxembourgLuxembourg
  2. 2.Institut Télécom, Télécom Bretagne, UMR CNRS 3192 Lab-STICC, Technopôle Brest Iroise CS 83818Brest Cedex 3France
  3. 3.Université européenne de Bretagne 

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