Solving multi-criteria decision problems under possibilistic uncertainty using optimistic and pessimistic utilities

Nahla Ben Amor (1) , Fatma Essghaier (2) , Hélène Fargier (2, 3)

1 Université de Tunis
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
3 CNRS - Centre National de la Recherche Scientifique

This paper proposes a qualitative approach to solve multi-criteria decision making problems under possibilistic uncertainty. De-pending on the decision maker attitude with respect to uncertainty (i.e. optimistic or pessimistic) and on her attitude with respect to criteria (i.e. conjunctive or disjunctive), four ex-ante and four ex-post decision rules are dened and investigated. In particular, their coherence w.r.t. the principle of monotonicity, that allows Dynamic Programming is studied.

Mots clés: Dec-models

Domaines: Intelligence artificielle [cs.AI]; Logique en informatique [cs.LO]

Nahla Ben Amor, Fatma Essghaier, Hélène Fargier. Solving multi-criteria decision problems under possibilistic uncertainty using optimistic and pessimistic utilities. International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2014), Jul 2014, Montpellier, France. pp.269-279, ⟨10.1007/978-3-319-08852-5_28⟩. ⟨hal-01109805⟩