Qualitative Decision-Making Under Possibilistic Uncertainty: Toward More Discriminating Criteria - Archive ouverte HAL
Communication Dans Un Congrès Année : 2005

Qualitative Decision-Making Under Possibilistic Uncertainty: Toward More Discriminating Criteria

Paul Weng
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Résumé

The aim of this paper is to propose a generalization of previous approaches in qualitative decision making. Our work is based on the binary possibilistic utility (PU), which is a possibilistic counterpart of Expected Utility (EU). We first provide a new axiomatization of PU and study its relation with the lexicographic aggregation of pessimistic and optimistic utilities. Then we explain the reasons of the coarseness of qualitative decision criteria. Finally, thanks to a redefinition of possibilistic lotteries and mixtures, we present the refined binary possibilistic utility, which is more discriminating than previously proposed criteria.
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Dates et versions

hal-01486638 , version 1 (10-03-2017)

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  • HAL Id : hal-01486638 , version 1

Citer

Paul Weng. Qualitative Decision-Making Under Possibilistic Uncertainty: Toward More Discriminating Criteria. UAI 2005 - 21st International Conference on Uncertainty in Artificial Intelligence, Jul 2005, Edinburgh, United Kingdom. pp.615-622. ⟨hal-01486638⟩
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