Fuzzy Decision Tree Based on Mutual Information and Incremental Learning
ZHANG Wei;NIE Jin;TENG Shao-hua;School of Computer Science and Technology,Guangdong University of Technology;
The fuzzy decision tree used to determine a candidate tree classification attributes based on mutual information has bcen introduced,and then construct fuzzy decision trees. It corrects classification model to achieve better classification results through incremental learning. Finally,experimentally validated.