Generating Fuzzy Rules from Training Instances for Fuzzy Classification Systems

Abstract

In recent years many methods to generate fuzzy rules based on training samples is proposed. One of the methods that recently suggested is Chen & Tsai’s method that was presented in 2008. This method was based on three indices: Attribute Threshold Value ( ), Classification Threshold Value ( ) and Level Threshold Value ( ). This method has a higher average classification accuracy rate than other methods available. In part of generating interim rules, Authors have provided suggestions to improve method and they used modified method in a case study. What in this research has been considered is the examining of CT08 improved method in an applied field on the one hand, and presentation of a classification system for mobile sets on the other hand. Improved method depicted higher accuracy than original method (about 0.2 in mobile set subject).

Keywords

• fuzzy
• classification
• training instance
• mobile set