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

Paul Weng 1
1 DECISION
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : 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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Conference papers
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https://hal.archives-ouvertes.fr/hal-01486638
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Submitted on : Friday, March 10, 2017 - 11:16:24 AM
Last modification on : Thursday, March 21, 2019 - 2:40:58 PM

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  • HAL Id : hal-01486638, version 1

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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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