A NEW METHOD FOR CONSTRUCTING FUZZY DECISION TREES AND GENERATING FUZZY CLASSIFICATION RULES FROM TRAINING EXAMPLES
Shyi‐Ming Chen · Cybernetics & Systems · 2000
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 can 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.