[en] In this chapter 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.
Disciplines :
Sciences informatiques
Identifiants :
UNILU:UL-CHAPTER-2010-038
Auteur, co-auteur :
BISDORFF, Raymond ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Meyer, Patrick; Télécom Bretagne. France > UMR CNRS 3192 Lab-STICC
VENEZIANO, Thomas ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Inverse analysis from a Condorcet robustness denotation of valued outranking relations
Date de publication/diffusion :
2009
Titre de l'ouvrage principal :
Algorithmic Decision Theory
Editeur scientifique :
Rossi, Francesca
Tsoukiás, Alexis
Maison d'édition :
Springer, Berlin - Heidelberg, Inconnu/non spécifié
ISBN/EAN :
9783642044274
Collection et n° de collection :
Lecture Notes in Artficial Intelligence (LNAI) 5783
