In belief functions, there are two types of uncertainty which are due to lack of knowledge: randomness and non-specificity. In this paper, we present a non-specificity measure for convex sets of probability distributions that generalizes Dubois and Prade's non-specificity measure in the Dempster-Shafer theory of evidence.
Keywords. Imprecise Probabilities, Uncertainty, Imprecision, Non-specificity
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Uncertainty Treatment in Artificial Intelligence (Research Group)