Artificial Intelligence
Constructing the Pignistic Probability Function in a Context of Uncertainty
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
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Traditional Bayesian decision analysis is based on probability theory and utility theory. However, expected utility model can be derived also in the other models proposed to quantify someone's belief. We shall deal only with the transferable belief model. The purpose of this paper is to introduce a new class of graphical representation to simplify the decision process.