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Reasons and Means to Model Preferences as Incomplete

Cailloux, Olivier; Destercke, Sébastien (2017), Reasons and Means to Model Preferences as Incomplete, in Moral, Serafín; Pivert, Olivier; Sánchez, Daniel; Marín, Nicolás, Scalable Uncertainty Management, Springer International Publishing : Berlin Heidelberg, p. 17-30. 10.1007/978-3-319-67582-4_2

Type
Communication / Conférence
Date
2017
Conference title
Scalable Uncertainty Management 11th International Conference (SUM 2017)
Conference date
2017-10
Conference city
Granada
Conference country
Spain
Book title
Scalable Uncertainty Management
Book author
Moral, Serafín; Pivert, Olivier; Sánchez, Daniel; Marín, Nicolás
Publisher
Springer International Publishing
Published in
Berlin Heidelberg
ISBN
978-3-319-67581-7;978-3-319-67582-4
Pages
17-30
Publication identifier
Metadata
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Author(s)
Cailloux, Olivier cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Destercke, Sébastien cc
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Abstract (EN)
Literature involving preferences of artificial agents or human beings often assume their preferences can be represented using a complete transitive binary relation. Much has been written however on different models of preferences. We review some of the reasons that have been put forward to justify more complex modeling, and review some of the techniques that have been proposed to obtain models of such preferences.
Subjects / Keywords
knowledge based systems; multi-criteria decision making