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Wikipedia / Membership function (mathematics)

In mathematics, the membership function of a fuzzy set is a generalization of the indicator function for classical sets. In fuzzy logic, it represents the degree of truth as an extension of valuation. Degrees of truth are often confused with probabilities, although they are conceptually distinct, because fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. Membership functions were introduced by Aliasker Zadeh in the first paper on fuzzy sets (1965). Aliasker Zadeh, in his theory of fuzzy sets, proposed using a membership function (with a range covering the interval (0,1)) operating on the domain of all possible values.

Definition

to the real unit interval.

Membership functions represent fuzzy subsets is called the membership degree is fully a member of the fuzzy set. The values between 0 and 1 characterize fuzzy members, which belong to the fuzzy set only partially.

Sometimes, a more general definition is used, where membership functions take values in an arbitrary fixed algebra or structure be at least a poset or lattice. The usual membership functions with values in [0,1] are then called [0,1]-valued membership functions.

Capacity

One application of membership functions is as capacities in decision theory.

In decision theory from S, the set of subsets This is a generalization of the notion of a probability measure, where the probability axiom of countable additivity is weakened. A capacity is used as a subjective measure of the likelihood of an event, and the "expected value" of an outcome given a certain capacity can be found by taking the Choquet integral over the capacity.

See also

References

Bibliography