Possibility Theory as a Basis for Qualitative Decision Theory
Abstract
A counterpart to von Neumann and Morgenstern' expected utility theory is proposed in the framework of possibility theory. The existence of a utility function, representing a preference ordering among possibility distributions (on the consequences of decision-maker's actions) that satisfies a series of axioms pertaining to decision-maker's behavior, is established. The obtained utility is a generalization of Wald's criterion, which is recovered in case of total ignorance; when ignorance is only partial, the utility takes into account the fact that some situations are more plausible than others. Mathematically, the qualitative utility is nothing but the necessity measure of a fuzzy event in the sense of possibility theory (a so-called Sugeno integral). The possibilistic representation of uncertainty, which only requires a linearly ordered scale, is qualitative in nature. Only max, min and order-reversing operations are used on the scale. The axioms express a risk-averse behavior of the d...
Cite
Text
Dubois and Prade. "Possibility Theory as a Basis for Qualitative Decision Theory." International Joint Conference on Artificial Intelligence, 1995.Markdown
[Dubois and Prade. "Possibility Theory as a Basis for Qualitative Decision Theory." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/dubois1995ijcai-possibility/)BibTeX
@inproceedings{dubois1995ijcai-possibility,
title = {{Possibility Theory as a Basis for Qualitative Decision Theory}},
author = {Dubois, Didier and Prade, Henri},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {1924-1932},
url = {https://mlanthology.org/ijcai/1995/dubois1995ijcai-possibility/}
}