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 / ConférenceDate
2017Conference title
Scalable Uncertainty Management 11th International Conference (SUM 2017)Conference date
2017-10Conference city
GranadaConference country
SpainBook title
Scalable Uncertainty ManagementBook author
Moral, Serafín; Pivert, Olivier; Sánchez, Daniel; Marín, NicolásPublisher
Springer International Publishing
Published in
Berlin Heidelberg
ISBN
978-3-319-67581-7;978-3-319-67582-4
Pages
17-30
Publication identifier
Metadata
Show full item recordAuthor(s)
Cailloux, Olivier
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Destercke, Sébastien

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 makingRelated items
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