An introduction to fuzzy control
An introduction to fuzzy control
Data mining and computational intelligence
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In the field of modeling, fuzzy models are one efficient approach for representing technical systems or human control strategies. Fuzzy models have the advantage of supplying a transparent and interpretable model. Conventional fuzzy models are based on fuzzification, inference and defuzzification. The fuzzification and inference operations are theoretically well-established in the framework of fuzzy logic. In contrast, conventional defuzzification methods are essentially empirically motivated. First, we recapitulate the inference filter concept, which supplies a new understanding of the defuzzification process and a theoretical framework. Second, we extend this approach to the advanced inference filter concept, which leads to a defuzzification method that is better suited to imitate the behavior of a human expert.