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Transformations of Belief Functions to Probabilities
Daniel, Milan
Alternative approaches to widely known pignistic transformation of belief functios are presented and analyzed. Pignistic, cautions, proportional and disjunctive probabilistic transformations are examined from the point of view of their interpretation, of decision making and from the point of view of their communication with rules (operators) for belief function combination.
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Possibilistic Laws of Large Numbers
Kramosil, Ivan
We consider sequences of samples defined on spaces endowed by a possibilistic measure, looking for relatively small sets of such sequences which are important or interesting, in a sense, and which occur with possibility degree equal to one or tending to one with the length of the sample sequence increasing.
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