Abstract:
Based on the various components involved in the structure of fuzzy logic controllers, this study provides an in-depth examination of the different features and disadvantages of commonly used defuzzification methods. Then based on this examination, and taking into account the compatible assignment of the logical connectives, inference rules as well as membership functions (MFs), a superior defuzzification technique is described and justified. It is shown that this technique integrates the defuzzification problem into the global structure of fuzzy controllers. It also helps the designer achieve his design objectives in a simple and systematic manner. Another defuzzification strategy, which falls within the general framework of this study, is also given and commented upon. It is shown that this strategy satisfies properties which should be possessed by a desired defuzzification method, and also shares important features with the former one. Further, a recent defuzzification-based methodology for the systematic data-driven design of fuzzy controllers is outlined.