Hybrid Self-Tuning Method for the Fuzzy Inference System Using Hyper Elliptic Gaussian Membership Function

초타원 가우시안 소속함수를 사용한 퍼지 추론 시스템의 하이브리드 자기 동조 기법

We present a hybrid self-tuning method using hyper elliptic Gaussian membership function. The proposed method applies a GA to identify the structure and the parameters of a fuzzy inference system. The parameters obtained by a GA, however, are near optimal solutions. So we solve this problem through a backpropagation-type gradient method. It is called GA hybrid self-tuning method in this paper. We provide a numerical example to evaluate the advantage and effectiveness of the proposed approach and compare with the conventional method.