
Graphical Representation of Ordinal Preferences: Languages and Applications
Lang, Jérôme (2010), Graphical Representation of Ordinal Preferences: Languages and Applications, dans Croitoru, Madalina; Ferré, Sébastien; Lukose, Dickson, Conceptual Structures: From Information to Intelligence 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010. Proceedings, Springer : Berlin, p. 3-9. http://dx.doi.org/10.1007/978-3-642-14197-3_3
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Type
Communication / ConférenceDate
2010Titre du colloque
18th International Conference on Conceptual Structures, ICCS 2010Date du colloque
2010-07Ville du colloque
KuchingPays du colloque
MalaisieTitre de l'ouvrage
Conceptual Structures: From Information to Intelligence 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010. ProceedingsAuteurs de l’ouvrage
Croitoru, Madalina; Ferré, Sébastien; Lukose, DicksonÉditeur
Springer
Titre de la collection
Lecture Notes in Computer ScienceNuméro dans la collection
6208Ville d’édition
Berlin
Isbn
978-3-642-14196-6
Pages
3-9
Identifiant publication
Métadonnées
Afficher la notice complèteAuteur(s)
Lang, JérômeRésumé (EN)
The specification of a decision making problem includes the agent’s preferences on the available alternatives. The choice of a model of preferences (e.g., utility functions or binary relations) does not say how preferences should be represented (or specified). A naive idea would consist in writing them explicitly, simply by enumerating all possible alternatives together with their utility (in the case of cardinal preferences) or the list of all pairs of alternatives contained in the relation (in the case of ordinal preferences). This is feasible in practice only when the number of alternatives is small enough with respect to the available computational resources. This assumption is often unrealistic, in particular when the set of alternatives has a combinatorial (or multiattribute) structure, i.e., when each alternative consists of a tuple of values, one for each of a given set of variables (or attributes): in this case, the set of alternatives is the Cartesian product of the value domains, and its cardinality grows exponentially with the number of variables.Mots-clés
model of preferencesPublications associées
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