Fuzzy logic (also known as fuzzy logic) is a branch of mathematical logic used in artificial intelligence and machine learning to model uncertainty and imprecision in data.
Unlike traditional Boolean logic, which uses binary values (0 and 1) to represent true and false respectively, fuzzy logic allows the representation of intermediate values between 0 ("completely false") y 1 ("completely true") This allows greater flexibility in the description of phenomena that are neither totally true nor totally false.
Fuzzy logic is applied in various areas of artificial intelligence and machine learning, such as system control, pattern recognition and decision making based on uncertain or incomplete data.
Reference Fuzzy logic and its applications.
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