Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
As an extension of TS fuzzy reasoning method, "weighted TS fuzzy reasoning method" was proposed by us in which the consequent part of fuzzy rule consists of a function with an weighting function. This paper proposes learning algorithm for the weighted TS fuzzy reasoning method by using steepest decent method, and compares learning results with the cases by simplified reasoning method and TS fuzzy reasoning method by applying to a diabetes diagnostic system.