Chapter 3
Modelling Preferences
Denis Bouyssou, Thierry Marchant, Marc Pirlot, Alexis Tsoukiàs,
and Philippe Vincke
Abstract 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.
D. Bouyssou • A. Tsoukiàs
CNRS-LAMSADE UMR 7243, Université Paris Dauphine, Place du Maréchal de Lattre de
Tassigny, 75775 Paris Cedex 16, France
e-mail: bouyssou@lamsade.dauphine.fr; tsoukias@lamsade.dauphine.fr
T. Marchant ()
Department of Data analysis, Ghent University, H. Dunantlaan 1, 9000 Gent, Belgium
e-mail: Thierry.Marchant@UGent.be
M. Pirlot
Université de Mons, Faculté Polytechnique, Mons, Belgium
e-mail: marc.pirlot@umons.ac.be
P. Vincke
Université libre de Bruxelles, Ecole Polytechnique, Campus de la Plaine, CP210/01, boulevard du
Triomphe, 1050 Bruxelles, Belgium
e-mail: Philippe.Vincke@ulb.ac.be
© Springer-Verlag Berlin Heidelberg 2015
R. Bisdorff et al. (eds.), Evaluation and Decision Models with Multiple Criteria,
International Handbooks on Information Systems,
DOI 10.1007/978-3-662-46816-6_3
35