Latest scientific and engineering advances have started to recognize the need for defining multiple types of uncertainty. Probabilistic modeling cannot handle situations with incomplete or little information on which to evaluate a probability, or when that information is nonspecific, ambiguous, or conflicting , , . Many interval-based uncertainty models have been developed to treat such situations.
Reliable Computing – Springer Journals
Published: Dec 20, 2006
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