Generation of Fuzzy Rules by Mountain Clustering
Ronald R. Yager, Dimitar Filev · Journal of Intelligent & Fuzzy Systems · 1994
We develop, based upon the mountain clustering method, a procedure for learning fuzzy systems models from data. First we discuss the mountain clustering method. We then show how it could be used to obtain the structure of fuzzy systems models. The initial estimates of this model are obtained from the cluster centers. We then use a back propagation algorithm to tune the model.