Concept
Membership functions are a fundamental component of fuzzy logic systems, used to quantify the degree of truth of a variable within a fuzzy set. They map input values to a membership value between 0 and 1, facilitating the modeling of imprecision and uncertainty in complex systems.
Relevant Fields:
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