A simply identified Sugeno-type fuzzy model via double clustering

Recently fuzzy models have received significant attention from various fields and many researchers have conducted researches regarding them. Especially, Sugeno suggested so called the Sugeno-type fuzzy model which superbly describes a nonlinear system. In this paper, we suggest a new identification method for the Sugeno-type fuzzy model. The suggested algorithm is much simpler than the original identification strategy adopted in [1-4]. The algorithm suggested in this paper is similar to that of [5,6] in that the algorithm suggested in this paper consists of two steps: coarse tuning and fine tuning. In this paper, double clustering strategy is proposed for coarse tuning. Finally, the results of computer simulation are given to demonstrate the validity of this algorithm.