Concept
Defuzzification is the process of converting a fuzzy set into a single crisp value, often used in fuzzy logic systems to produce actionable outputs from fuzzy inference results. It bridges the gap between the fuzzy logic system's reasoning and real-world applications by translating fuzzy conclusions into precise, applicable decisions.
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