Contribution to collective works (Parts of books)
Logical foundation of multi-criteria decision-aiding
Bisdorff, Raymond
2002In Bouyssou, Denis; Jacquet-Lagrèze, Eric; Perny, Patrice et al. (Eds.) Aiding decisions with multiple criteria: Essays in Honor of Bernard Roy
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Keywords :
Preference modelling; Multiple criteria decision aid; Balancing reasons; Majority margins; Semiotical foundation
Abstract :
[en] In this chapter, we would like to show Bernard Roy’s contribution to modern computational logic. Therefore we first present his logical approach for multi-criteria preference modelling. Here, decision aid is based upon a refined methodological construction, that provides the family of criteria with important logical properties giving access to the concordance principle used for aggregating preferential assertions from multiple semiotical points of view. In a second section, we introduce the semiotical foundation of the concordance principle and present a new formulation of the concordance principle with its associated necessary coherence axioms imposed on the family of criteria. This new methodological framework allows us, in a third part, to extend the classical concordance principle and its associated coherence axioms imposed on the family of criteria – first to potentially redundant criteria, – but also to missing individual evaluations and even partial performance tableaux.
Research center :
Centre de Recherche Publique - Centre Universitaire
Disciplines :
Computer science
Author, co-author :
Bisdorff, Raymond ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Logical foundation of multi-criteria decision-aiding
Publication date :
2002
Main work title :
Aiding decisions with multiple criteria: Essays in Honor of Bernard Roy
Author, co-author :
Perny, Patrice
Slowinski, Roman
VanderPooten, Daniel
Vincke, Philippe
Editor :
Bouyssou, Denis
Jacquet-Lagrèze, Eric
Publisher :
Kluwer Academic Publishers, Dordrecht, Netherlands
ISBN/EAN :
0-7923-7611-0
Collection name :
Kluwer's international series on Operations Research & Management Science
Pages :
379-403
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
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