DocumentCode :
609473
Title :
Risk assessment of the individual housing loans by Grey Data Mining based on AHP-GRAP
Author :
Size Li ; Yuanyuan Shi ; Zhangdui Zhong ; Gang Zhu ; Bo Ai
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
fYear :
2013
fDate :
1-4 April 2013
Firstpage :
131
Lastpage :
135
Abstract :
Credit risk assessment is the groundwork of the individual housing loans. However, what banks really care about is how to make the most money with least risk. The most difficult problem of the credit risk management for the banks is that they both have to encourage loans, but also they need to avoid bad debt. This paper proposes a new risk assessment system of the individual housing loans by integrating traditional Analytic Hierarchy Process and Grey System Theories into Data Mining and applies the new hybrid method to assess the individual credit risk. It is proved that this new credit risk assessment method is easy to calculate, and provides an effective foundation for credit risk assessment.
Keywords :
analytic hierarchy process; bank data processing; data mining; grey systems; risk management; AHP-GRAP; analytic hierarchy process; banks; credit risk assessment method; credit risk assessment system; credit risk management; grey data mining; grey system; individual housing loan risk assessment; Analytic hierarchy process; Biological system modeling; Data mining; Data models; Mathematical model; Risk management; analytic hierarchy process; assessment; credit risk; data mining; grey relational analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communications and IT Applications Conference (ComComAp), 2013
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-6043-2
Type :
conf
DOI :
10.1109/ComComAp.2013.6533623
Filename :
6533623
Link To Document :
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