Fuzzy Membership Function Selection in Electrical Systems: A Review

Today, the widespread use of fuzzy controllers in electrical systems, especially, systems includes nonlinear and uncertainty terms, which are rapidly increasing. Indeed, the design of a desirable fuzzy inference system requires the correct selection of the type, number, and scope of membership functions due to fuzzifying the input and output variables of the system. But so far, no research or structural method has been introduced for the correct selection of membership functions and exclusively has been based on trial and error of the designer of the system. Considering the importance of this issue, the current paper investigated a comprehensive review of the membership functions selection in articles related to electrical systems. Finally, based on the articles reviewed and the categories carried out, suggestions for optimal selection of membership functions are presented based on the applications of electrical systems.