International Journal of Latest Trends in Engineering and Technology (IJLTET)
In this paper the authors have proposed a method for self generating the membership functions using semi unsupervised learning method, they have tried to combine trapezoidal and triangular membership function and generate it by neural network clustering technique. Clustering of underlying data to obtain the cluster with cluster centers. These cluster centers are used to formulate membership function centers. The overlapping membership function end vertex is formulated by approximating boundary values of each cluster obtained. A fuzzy Inference system is created based on membership function generated for classification problem.