FLCs consist of three main components: the fuzzification interface, the inference engine, and the defuzzification interface.
Fuzzification: Converts crisp input values into fuzzy sets. For example, temperature and pressure readings are transformed into linguistic variables like "high," "medium," and "low." Inference Engine: Applies fuzzy logic rules to the fuzzy input sets to make decisions. These rules are often based on expert knowledge and are expressed in the form of "IF-THEN" statements. Defuzzification: Converts the fuzzy output back into crisp values that can be used to control the actuators or other system components.
