Application of fuzzy integral fusion of multiple decision trees into commercial bank credit management system
FU Yue1,PAN Shiying2,WANG Jianling3
1. Department of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang Hebei 050031, China;
2. Vocational and Technical College, Hebei Normal University, Shijiazhuang Hebei 050024, China;
3. Common Course Teaching Department, Hebei University of Traditional Chinese Medicine, Shijiazhuang Hebei 050091, China
In order to improve the level of assessment of the credit risk of commercial bank credit management system based on data mining, the model of multiple decision trees by Choquet fuzzy integral fusion (MTCFF) was applied to the system. The basic idea was to mine the classified customer data by decision tree, form the different decision trees and rules according to different pruning degree, and detect unclassified customer data by different decision tree rules, and then nonlinearly combine the results from multiple decision trees by Choquet fuzzy integral to get the best decision. Using the German of the UCI dataset, the experimental results show that fusion of Choquet fuzzy integral is superior to the single decision tree in terms of classification accuracy, and it is also superior to other linear fusion methods. Choquet fuzzy integral is superior to Sugeno fuzzy integral.
傅玥 潘世英 王建岭. 多决策树的模糊积分融合在银行信贷管理系统中的应用[J]. 计算机应用, 2014, 34(3): 763-766.
FU Yue PAN Shiying WANG Jianling. Application of fuzzy integral fusion of multiple decision trees into commercial bank credit management system. Journal of Computer Applications, 2014, 34(3): 763-766.
2014, Vol. 34 
