Research of a New Fuzzy Reasoning Method by Moving of Fuzzy Membership Functions

Fuzzy reasoning methods have demonstrated their ability to solve different kinds of problems in various applications domains. Currently, there is an increasing interest to augment fuzzy reasoning methods with speeding and processing capabilities. Fuzzy reasoning methods are based on four different ideas; compositional rule, it´s variants, type-distance, move method of fuzzy membership functions. Traditional methods have complex processing operation and large complexity. This paper points out a kind of move fuzzy reasoning method which is based on moving of fuzzy membership functions. Because proposed method is not based on traditional implication operation and it´s operation is simple, it could be used to solve different kinds of problems. Moreover the proposed method is compared with TS method and TD method theoretically and experimentally. Through comparison of the past reasoning method, effectiveness of proposed method is shown. This algorithm gives us the reductive property.