Title : 
Enterprise Credit Rating Model Based on Fuzzy Clustering and Decision Tree
         
        
            Author : 
Hongxia, Wu ; Xueqin, Liu ; Yanhui, Liu
         
        
            Author_Institution : 
Coll. of Economic & Manage., Hebei Polytech. Univ., Tangshan, China
         
        
        
        
        
        
            Abstract : 
In order to assess enterprise credit rating objectively and fairly, this paper focuses on how to combine the Data Mining with assessing enterprise credit rating. Firstly the comprehensive evaluation index system of enterprise credit rating is built up. Then the comprehensive evaluation method of the credit rating of enterprise is put forward based on the decision tree and fuzzy clustering algorithm. Applying the method proposed to assessing the credit rating of enterprise shows that the management level and employee quality is the most important factors.
         
        
            Keywords : 
data mining; decision trees; finance; fuzzy set theory; pattern clustering; comprehensive evaluation index system; data mining; decision tree; employee quality; enterprise credit rating model; fuzzy clustering algorithm; management level; Information science; Data Ming; Decision tree; Fuzzy clustering; enterprise credit rating;
         
        
        
        
            Conference_Titel : 
Information Science and Engineering (ISISE), 2010 International Symposium on
         
        
            Conference_Location : 
Shanghai
         
        
        
            Print_ISBN : 
978-1-61284-428-2
         
        
        
            DOI : 
10.1109/ISISE.2010.25