Artificial Intelligence
Extending stochastic ordering to belief functions on the real line
Information Sciences: an International Journal
Decision making in the TBM: the necessity of the pignistic transformation
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
A choice model with imprecise ordinal evaluations
International Journal of Approximate Reasoning
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In this paper, we consider problems where the data is uncertain and/or imprecise and given by basic belief assignments (BBA's). In order to compare the different pairs of the BBA's, a new concept called the first belief dominance is proposed. This is naturally inspired by the concept of first stochastic dominance that allows comparing probability distributions. Finally, an application in multicriteria decision aid context is presented to illustrate the proposed technique.