[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 :
Computer science
Identifiers :
UNILU:UL-CHAPTER-2010-038
Author, co-author :
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)
External co-authors :
yes
Language :
English
Title :
Inverse analysis from a Condorcet robustness denotation of valued outranking relations
Publication date :
2009
Main work title :
Algorithmic Decision Theory
Editor :
Rossi, Francesca
Tsoukiás, Alexis
Publisher :
Springer, Berlin - Heidelberg, Unknown/unspecified
ISBN/EAN :
9783642044274
Collection name :
Lecture Notes in Artficial Intelligence (LNAI) 5783
