Chapter 6: Fuzzy Logic
Abstract : Fuzzy logic is a type of multi-valued logic that allows for partial truths, unlike traditional binary logic (true or false) . It handles vagueness and uncertainty by assigning degrees of truth to statements, using values between 0 and 1. This enables systems to make decisions or predictions based on imprecise or incomplete information. Key aspects of fuzzy logic: Fuzzy sets: These are collections of objects where membership is not defined by a strict boundary, but rather by a degree of membership (0 to 1). Linguistic variables: Fuzzy logic uses words or phrases (like "young," "tall," "hot") to represent concepts, allowing for more human-like reasoning. Fuzzy rules: These are statements that express relationships between fuzzy sets and variables (e.g., "If the temperature is hot, then turn off the heater"). Fuzzification: The process of converting numerical inputs into fuzzy sets. Inference: The process of applyin...