Fuzzy Discriminant Analysis for Diabetes Diagnostic Data by Simplified Distance-type Reasoning Method with Scale Factor

Abstract

This paper discusses fuzzy discriminant analysis for diabetes data by using a simplified distance-type reasoning method with scale factor, 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.