Genetic Algorithms (GA’s) and others evolutionary optimization methods to design fuzzy models from data have received much attention in recent literature. This paper presents a methodology to simultaneous design of membership functions and rules sets for fuzzy logic models. The validity of the proposed identification method has been demonstrated by simulation example of inverted pendulum.