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Fuzzy logic is a system of logic where statements can be true, false, or any value in between, unlike traditional logic which uses binary true/false values. This concept is based on fuzzy sets, where membership is not absolute but can be partial, represented by a degree of truth ranging from 0 to 1. For example, a person might be considered "partially old" with a membership value of 0.30 in a fuzzy set of old people.123

Fuzzy control systems utilize this logic to allow machines to make decisions based on practical knowledge, often mimicking human operators. Instead of relying on exact mathematical models, these systems use linguistic rules like "if temperature is low, then action is medium". This approach has found applications in various fields, including consumer electronics, medicine, and stock market analysis.2

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