Abstract
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
The paper is available in the following formats:
Authors addresses: Joaquin Abellan
Serafin Moral
E-mail addresses:
Joaquin Abellan | jabellan@jet.es |
Serafin Moral | smc@decsai.ugr.es |
Related Web Sites
Uncertainty Treatment in Artificial Intelligence (Research Group)