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Modelling Preferences

In: Evaluation and Decision Models with Multiple Criteria

Author

Listed:
  • Denis Bouyssou

    (Université Paris Dauphine)

  • Thierry Marchant

    (Ghent University)

  • Marc Pirlot

    (Université de Mons)

  • Alexis Tsoukiàs

    (Université Paris Dauphine)

  • Philippe Vincke

    (Université libre de Bruxelles, Ecole Polytechnique)

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.

Suggested Citation

  • Denis Bouyssou & Thierry Marchant & Marc Pirlot & Alexis Tsoukiàs & Philippe Vincke, 2015. "Modelling Preferences," International Handbooks on Information Systems, in: Raymond Bisdorff & Luis C. Dias & Patrick Meyer & Vincent Mousseau & Marc Pirlot (ed.), Evaluation and Decision Models with Multiple Criteria, edition 127, chapter 0, pages 35-87, Springer.
    • Handle: RePEc:spr:ihichp:978-3-662-46816-6_3
    DOI: 10.1007/978-3-662-46816-6_3
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