A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples

Abstract

This paper presents a new method for constructing fuzzy decision trees and generating fuzzy classification rules from training instances using compound analysis techniques. The proposed method call generate simpler fuzzy classification rules and has a better classification accuracy rate than the existing method. Furthermore. the proposed method generated less fuzzy classification rules.