Learning non-monotonic preferences, a new algorithm

Núria Agell Jané, Mohammad Ghaderi, Francisco Javier Ruiz Vegas

Producció científica: Contribució a una conferènciaContribució

Resum

Capturing preferential system of the Decision Maker (DM), given a ranking of alternatives, is a challenging research question in preference disaggregation field. UTA methods are well-known in the literature, addressing this question by a linear programming model. In most of the UTA-based methods, a monotonic value function has been applied, which limits the applicability of the method. Non-monotonic UTA-based methodologies, on the other hand, are computationally intensive. In this paper we introduce a faster and simpler model, capable of learning additive non-monotonic utility functions.
Idioma originalAnglès
Estat de la publicacióPublicada - 13 de jul. 2014
Esdeveniment20th Conference of the International Federation of Operational Research Societies -
Durada: 13 de jul. 201418 de jul. 2014

Conferència

Conferència20th Conference of the International Federation of Operational Research Societies
Període13/07/1418/07/14

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