Generalized Fuzzy Transforms and Its Application in Fuzzy Interpolation Reasoning
Based on generalized vague partition,a new expression formula for generalized fuzzy transformation is proposed,where the essential characteristics of generalized fuzzy transformation and some approximation properties of generalized inverse fuzzy transfor-mation are described.On this basis,a TSK fuzzy interpolation inference method based on generalized fuzzy transformation is designed for the TSK sparse rule library,and some basic properties of this method are discussed.Finally,the two experiments are compared with existing methods to further demonstrate the effectiveness of the proposed method.