Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings   Proceeding details   Article details         Authors         Search    
Qualitative Decision Making Under Possibilistic Uncertainty: Toward more discriminating criteria
Paul Weng
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.
Keywords:
Pages: 615-622
PS Link:
PDF Link: /papers/05/p615-weng.pdf
BibTex:
@INPROCEEDINGS{Weng05,
AUTHOR = "Paul Weng ",
TITLE = "Qualitative Decision Making Under Possibilistic Uncertainty: Toward more discriminating criteria",
BOOKTITLE = "Proceedings of the Twenty-First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-05)",
PUBLISHER = "AUAI Press",
ADDRESS = "Arlington, Virginia",
YEAR = "2005",
PAGES = "615--622"
}


hosted by DSL   •   site info   •   help