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Defuzzification is one of the fundamental steps in the development of fuzzy knowledge based systems. Given a fuzzy set /spl mu/ over the reference set X, defuzzification applied to /spl mu/ returns an ...
Interval type-2 defuzzification maps an interval type-2 fuzzy set to a crisp number. We show that the semantic meaning of the interval type-2 fuzzy set (the associated opportunity or risk) has to be ...
The "fuzlab" package extends the existing Fuzzylab library with the following modified/inserted modules: - "defuzz.py" with "wabl" defuzzification extencion, - "evalfis.py" with "mamdaniRBD" model ...
Simple fuzzy rule-based logic inference system based on the Mamdani principles. The system can provide inference from scratch or using scikit-fuzzy 's control system. The fuzzy variables are ...
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