Research on the Application of Customer Value Clustering and Risk Control Technology in the Guarantee System

Research on the Application of Customer Value Clustering and Risk Control Technology in the Guarantee System

Gang ChenQing Feng Jinpeng Liang 

Dept of computer science, Guangdong Open University, Guangzhou, Guangdong, China 570091

Training Center Guangdong Open University, Guangzhou, Guangdong, China 570091

School of Applied Mathematics, Guangdong University of technology, 510080 Guangzhou, China

Corresponding Author Email: 
gdchengang168@126.com
Page: 
444-461
|
DOI: 
https://doi.org/10.18280/ama_a.540401
Received: 
2 June 2017
|
Accepted: 
15 September 2017
|
Published: 
31 December 2017
| Citation

OPEN ACCESS

Abstract: 

The paper researchs on the intelligent problem of guarantee system. For traditional guarantee system, because of low efficiency in risk control and mining customer value, increased risk of Guarantee Corporation oans and too long approval cycle results in serious loss of customers. To solve the above problem, put forward a new risk control method based on rough set neural network mode, and use Analytic Hierarchy Process and Activity Based Classification model to achieve customer segmentation. To do simulation with the sample data of 2005-2015 offered by Shenzhen Surety Association. The rough set and Back Propagation to be used in control risk, and the credit approval time is significantly reduce, and with the Analytic Hierarchy Process and Activity Based Classification model is to be achieved customer segmentation, that result in the company profit significantly increases. So the technique presented effectively in this paper.

Keywords: 

Risk Control, Rough Set, Neural Network, Analytic Hierarchy Process.

1. Introductions
2. The Design of Security System Based on Risk Control and Customer Value Segmentation
3. Intelligent Security System Modeling
4. Simulation Results Analysis
5. Conclusion
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