An Optimized Interval Type-2 Fuzzy Logic Control Scheme based on Optimal Defuzzification
Ziyad T. Allawi, Turki Younis Abdalla · International Journal of Computer Applications · 2014
In this paper, a new way of optimizing fuzzy logic is introduced.This way is used to optimize the output of Interval Type-2 Fuzzy Logic controller by replacing the Defuzzification stage by the Optimization algorithm.The algorithm chooses the best crisp output variable from the type-reduced set which is the output of the Type-Reduction stage instead of averaging the set extremes which was performed by Defuzzification stage.Artificial Bee Colony optimization algorithm is used to optimize the Interval Type-2 Fuzzy Logic controller to manage the navigation of multiple mobile robots in indoor environments.