3 papers
cs.AI2026
Identifying two piecewise linear additive value functions from anonymous preference information
Vincent Auriau, Khaled Belahcene, Emmanuel Malherbe +2
Eliciting a preference model involves asking a person, named decision-maker, a series of questions. We assume that these preferences can be represented by an additive value functio…
cs.AI2017
An efficient SAT formulation for learning multiple criteria non-compensatory sorting rules from examples
K. Belahcène, C. Labreuche, N. Maudet +2
The literature on Multiple Criteria Decision Analysis (MCDA) proposes several methods in order to sort alternatives evaluated on several attributes into ordered classes. Non Compen…
cs.AI2015
Explaining robust additive utility models by sequences of preference swaps
K. Belahcene, C. Labreuche, N. Maudet +2
Multicriteria decision analysis aims at supporting a person facing a decision problem involving conflicting criteria. We consider an additive utility model which provides robust co…