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Type-2 Fuzzy Logic: Theory and Applications
San Jose, California November 02-November 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.1182007 IEEE International Conference on ...
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Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially "fuzzy fuzzy" sets where the fuzzy degree of membership is a type-1 fuzzy set. The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set with a superior membership function and an inferior membership function; these two functions can be represented each one by a type-1 fuzzy set membership function. The interval between these two functions represents the footprint of uncertainty (FOU), which is used to characterize a type-2 fuzzy set.
Citation:
Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz, "Type-2 Fuzzy Logic: Theory and Applications," grc, pp.145, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
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