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Neural Network & Fuzzy Systems
Defuzzification
Introduction:-For a system whose output is fuzzy, it is easier to take a crisp decision if the output is represented as a single quantity. This conversion of a single crisp value is called Defuzzification.It is the reverse process of fuzzification.
The typical Defuzzification methods are
− Centroid method,
− Center of sums,
− Mean of maxima
Centroid method
It is also known as the "center of gravity" of area method. It obtains the Centre of area (x*) occupied by the fuzzy set .For discrete membership function, it is given by
n represents the number elements in the sample, and
xi are the elements, and
μ(xi) is the membership function.