Fuzzy discriminant analysis by distance type simplified reasoning method

Abstract

This paper discusses fuzzy discriminant analysis for diabetes data by using a simplified distance-type reasoning method, which is a simplified version of distance-type fuzzy reasoning method. Moreover, learning algorithm is proposed for the distance-type reasoning method and applied to a diabetes diagnostic system, showing the satisfactory learning results.