
In mathematics,
fuzzy measure theory considers generalized
measures in which the additive property is replaced by the weaker property of monotonicity. The central concept of
fuzzy measure theory is the
fuzzy measure (also capacity, see ) which was introduced by Choquet in 1953 and independently defined by Sugeno in 1974 in the context of
fuzzy integrals. Read the latest articles of
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Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of
fuzzy sets and systems.The theory of
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measure space (X, Σ, μ) is called finite if μ(X) is a finite real number (rather than ∞). Nonzero finite
measures are analogous to probability
measures in the sense that any finite
measure μ is proportional to the probability
measure ().A
measure μ is called σ-finite if X can be decomposed into a countable union of measurable sets of finite
measure.
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FUZZ-IEEE is the top leading conference in the area of theory and applications of
fuzzy logic. The conference will include regular oral and poster presentations, tutorials, panels and world-class keynotes. Conference Topics Read the latest articles of Journal
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