Fuzzy sets in pattern recognition

摘要: Fuzzy Set Theory is concerned with non-dichotomous structures, i.e., situations which are not of the either-or-structure, cannot be characterized by black-or- white, true-or-false, certain-or-impossible. These generally considered as containing uncertainty, even though term “uncertainty” defined unequivocally. Often uncertainty to refer occurrence events while vagueness refers description events. Let us consider respect first: The statement “The probability hitting target is.6” certainly probabilistic in nature and could well modelled using classical theory. chances winning good” will already pose some problems, because “good chances” (i.e., crisply) defined. In a phrase like “It likely that we make good profit” event itself nor its these models appropriate for expression uncertain occurrences.