## Defuzzification methods – Solved examples

Defuzzification methods, as we know, are used to convert defuzzified output put of fuzzy inference engine to crisp value. In previous few articles, we already have discussed maxima methods, Center of [...]

Defuzzification methods, as we know, are used to convert defuzzified output put of fuzzy inference engine to crisp value. In previous few articles, we already have discussed maxima methods, Center of [...]

Center of Largest Area (CoA) method is simple, computationally effective and widely used defuzzification. If the fuzzy set has two sub regions, then the center of gravity of the sub region with the la [...]

Center of Sums (CoS) method is most commonly used defuzzification method. In this method, area of overlapping region is considered multiple times, where as Center of Gravity (CoG) method count it once [...]

Center of Gravity (CoG) is most prevalent and physically appealing of all the defuzzification methods [Sugeno, 1985, Lee 1990] The basic principle in CoG method is to find the point x∗ where a vertica [...]

Weighted average method is one of the simplest and widely used defuzzification technique. This method is also alternatively called ”Sugeno defuzzification” method. Formed by weighting each functions i [...]

Maxima methods are quite simple but not as trivial as lambda cut methods. Maxima methods relies on the position of maximum membership of element at particular position in fuzzy set. The set of methods [...]

Fuzzification converts the crisp input into fuzzy value. Defuzzification converts the fuzzy output of fuzzy inference engine into crisp value, so that it can be fed to the controller. The fuzzy result [...]