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Fuzzy SetFuzzy sets are an extension of the classical set theory used in fuzzy logic. A fuzzy set is characterized by a membership-degree function, which maps the members of the universe into the unit interval 0,1. The value 0 means that the member is not included in the given set, 1 describes a fully included member (this behaviour corresponds to the indicator function of classical sets). The values between 0 and 1 characterize fuzzy members. For the universe X and given the membership-degree function f : X→0,1, the fuzzy set A is defined as A = {(x, f(x)) | x ∈ X}. The fuzzy set B, where B = {(3,0.3), (4,0.7), (5,1), (6,0.4)} would be enumerated as B = {0.3/3, 0.7/4, 1/5, 0.4/6} using standard fuzzy notation. Note that any value with a membership grade of zero does not appear in the set. The standard notation for finding the membership grade of the fuzzy set B at 6 is μB(6) = 0.4. Also see fuzzy set operations. External links Fuzzy Image Processing
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