Artificial immune system based on interval type-2 fuzzy set paradigm
Applied Soft Computing
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Belief (Bel), plausibility (Pl), and probability (P) measures can be formulated on interval-valued type 2 fuzzy sets with their representation in terms of α-level (crisp) sets. Recently, it was shown that interval-valued type 2 fuzzy sets naturally arise with modified and restricted multivalued maps of Dempster. An analogy to Dempster's upper and lower probabilities, upper and lower beliefs, and Pl and P measures can be determined over interval-valued type 2 fuzzy sets. It is shown that the application of appropriate t-norms over α-values of α-level crisp sets in combination with the axiom of Bel measure entails appropriate weights for the overlapping α-level (crisp) set conjunctions where Bel measure is applicable. © 2004 Wiley Periodicals, Inc.