Computation with Imprecise Probabilities
An imprecise probability distribution is an instance of second-order uncertainty, that is, uncertainty about uncertainty, or uncertainty2 for short. Another instance is an imprecise possibility distribution . Computation with imprecise probabilities is not an academic exercise – it is a bridge to reality. In the real world, imprecise probabilities are the norm rather than exception. In large measure, real-world probabilities are perceptions of likelihood. Perceptions are intrinsically imprecise, reflecting the bounded ability of human sensory organs, and ultimately the brain, to resolve detail and store information.}
KeywordsNatural Language Generalize Constraint Possibility Distribution Extension Principle Precise Probability
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