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 original | Anglès |
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Estat de la publicació | Publicada - 13 de jul. 2014 |
Esdeveniment | 20th Conference of the International Federation of Operational Research Societies - Durada: 13 de jul. 2014 → 18 de jul. 2014 |
Conferència
Conferència | 20th Conference of the International Federation of Operational Research Societies |
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Període | 13/07/14 → 18/07/14 |