TitleNew developments in possibilistic decision theory
Publication TypeConference Paper
Year of Publication2004
AuthorsGodo L, Zapico A
Editorde Jaén EUSFLATUniversida
Conference NameActas del XII congreso español sobre tecnologías y lógica fuzzy
PublisheraDemanda
Pagination147-152
Abstract

In possibilistic decision theory, decisions are ranked via their associated possibility distributions on consequences, using two qualitative utility functionals expressed in terms of the uncertainty on situation and of the decision maker’s preference assignment to consequences. The model has been extended in several aspects to be applicable in a broad context, for instance generalized utilities functions involving other t-norms than minimum have been introduced, uncertainty and preferences have been allowed to be measured in non-linear structures, and partially inconsistent belief states have been also considered. In this paper, we focus in extending the model along two different directions. We consider “sequential” refinements of the preference rankings in a non-linear framework on the one hand, and on the other hand we also address the concept of conditioning.