A new fuzzy decision tree model and its application
Cui Shou-mei · Journal of Shandong University · 2007
A fuzzy decision tree is the generalization of a decision tree in a fuzzy environment.The knowledge represented by a fuzzy decision tree is more natural to the way of human thinking,but there is the additional work of preprocessing and cost of constructing trees.A new hybrid fuzzy decision tree model was proposed.The new algorithm calculates the entropy of multi-valued and continuous-valued attributes after fuzzification and Shannon entropy of other attributes was calculated by this new algorithm.Simulation results confirm that the proposed model can lead to understandable decision trees and extract effective rules.Experimental results show that the proposed model is more effective and efficient than a fuzzy decision tree and C4.5.