Data–based Fuzzy Modeling
نویسنده
چکیده
The use of fuzzy logic for the modeling of processes (such as a technical process or the behavior of a human operator in a process) is often motivated by the interpretability of the resulting fuzzy system/model. In fuzzy models, the dependencies of the variables of the considered process are described by qualitative (linguistic) if–then rules, which correspond to the way in which human knowledge is usually presented. The main advantages of interpretability are a higher acceptance by the users of the fuzzy model, and the increased possibility for tuning and adapting the fuzzy model by hand.
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