A genetic-based fuzzy membership set for a fuzzy logic control system
Abstract: Fuzzy logic and fuzzy control are incorporated in many forms to different applications. Whether it is used in design or modeling of systems, large number of parameters are needed to be specified in the design process. Among these parameters the selection of the membership types does not gained much attention as other parameters. This thesis will focus on this parameter and presents this approach to the design of a fuzzy logic controller based on a selection of membership function with different types for good performance of control systems.