Properties of measures of information in evidence and possibility theories
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
On the uniqueness of possibilistic measure of uncertainty and information
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
Classification of possibilistic uncertainty and information functions
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
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Given a universe of discourse X--a domain of possible outcomes--an experiment may consist of selecting one of its elements, subject to the operation of chance, or of observing the elements, subject to imprecision. A priori uncertainty about the actual result of the experiment may be quantified, representing either the likelihood of the choice of x ∈ X or the degree to which any such x ∈ X would be suitable as a description of the outcome. The former case corresponds to a probability distribution, while the latter gives a possibility assignment on X.