Modelling uncertain positive and negative reasons in decision aiding
Decision Support Systems
On the relevance of some families of fuzzy sets
Fuzzy Sets and Systems
An introduction to bipolar representations of information and preference
International Journal of Intelligent Systems
International Journal of Intelligent Systems
On the qualitative comparison of decisions having positive and negative features
Journal of Artificial Intelligence Research
An ordinal approach to computing with words and the preference-aversion model
Information Sciences: an International Journal
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Fuzziness and bipolarity allow representing human knowledge, taking into account the gradual and the dialectic properties of language, focusing on the meaning of concepts. Under this cognitive and linguistic approach, we explore preference relations, examining their semantic decomposition through fuzzy preference structures and the specification of meaningful opposites. In particular, we introduce the Preference-Aversion (P-A) model, which allows analyzing, under an independent aggregation methodology, the possible gains and losses, like pros and cons, towards a given set of alternatives. As an attractive feature of this proposal, we show that the P-A model allows distinguishing between need and desire, contrary to common preference models where both notions are indistinguishable.