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Modelling preferences

Bouyssou, Denis; Marchant, Thierry; Pirlot, Marc; Tsoukiàs, Alexis; Vincke, Philippe (2015), Modelling preferences, in Bisdorff, Raymond; Dias, Luis; Meyer, Patrick; Mousseau, Vincent; Pirlot, Marc, Evaluation and Decision Models with Multiple Criteria: case studies, Springer : Berlin Heidelberg, p. 35-87. 10.1007/978-3-662-46816-6_3

Type
Chapitre d'ouvrage
Date
2015
Book title
Evaluation and Decision Models with Multiple Criteria: case studies
Book author
Bisdorff, Raymond; Dias, Luis; Meyer, Patrick; Mousseau, Vincent; Pirlot, Marc
Publisher
Springer
Series title
International Handbooks on Information Systems
Published in
Berlin Heidelberg
ISBN
978-3-662-46815-9
Number of pages
643
Pages
35-87
Publication identifier
10.1007/978-3-662-46816-6_3
Metadata
Show full item record
Author(s)
Bouyssou, Denis cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Marchant, Thierry
Department of Data Analysis

Pirlot, Marc
Faculté Polytechnique [UMONS]
Tsoukiàs, Alexis cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Vincke, Philippe
Université Libre de Bruxelles
Abstract (EN)
This chapter deals with a crucial step in the decision aiding process: the aggregation of the alternatives’ performances on each criterion in order to faithfully model the overall preference of the decision maker. The approach we follow is that of conjoint measurement, which aims at determining under which conditions a preference can be represented in a particular aggregation model. This approach is first illustrated with the classical additive value function model. Then, we describe two broad families of preference models, which constitute a framework encompassing many aggregation models used in practice. The aggregation rules that fit with the second family of models rely on the aggregation of preference differences. Among this family we find, in particular, models for the outranking relations (concordance relations with vetoes) that are used in several case studies in this book.
Subjects / Keywords
decision aiding; preference modelling
JEL
C44 - Operations Research; Statistical Decision Theory

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