When merging belief sets from different agents, the result is normally a consistent belief set in which the inconsistency between the original sources is not represented. As proba...
In many real-life situations, we only have partial information about probabilities. This information is usually described by bounds on moments, on probabilities of certain events,...
Daniel Berleant, Olga Kosheleva, Vladik Kreinovich...
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
abstract An imprecise probability distribution is an instance of second-order uncertainty, that is, uncertainty about uncertainty, or uncertainty for short. Another instance is an ...
While deciphering the Enigma Code during World War II, I.J. Good and A.M. Turing considered the problem of estimating a probability distribution from a sample of data. They derive...