Credit scoring algorithm based on link analysis ranking with support vector machine

2009 ◽  
Vol 36 (2) ◽  
pp. 2625-2632 ◽  
Author(s):  
Xiujuan Xu ◽  
Chunguang Zhou ◽  
Zhe Wang
Keyword(s):  
Support Vector Machine ◽  
Credit Scoring ◽  
Link Analysis ◽  
Support Vector ◽  
Scoring Algorithm

A New Fuzzy Support Vector Machine for Credit Scoring

2011 ◽  
Vol 109 ◽  
pp. 636-640
Author(s):  
Bo Tang ◽  
Min Xia
Keyword(s):  
Support Vector Machine ◽  
Economic Development ◽  
Prediction Accuracy ◽  
Credit Scoring ◽  
Fuzzy Membership ◽  
Support Vector ◽  
Good Prediction ◽  
Support Vector Machine Algorithm ◽  
Fuzzy Support Vector Machine ◽  
Good Prediction Accuracy

With China's rapid economic development, credit scoring has become very important. This paper presents a new fuzzy support vector machine algorithm used to solve the problems of credit scoring. The empirical results show that the proposed fuzzy membership model is valid ,the algorithm has good prediction accuracy and anti-noise ability.

Multi-Class Support Vector Machine for Credit Scoring

2012 ◽  
Vol 235 ◽  
pp. 419-422 ◽  
Author(s):  
Bo Tang ◽  
Sai Bing Qiu
Keyword(s):  
Support Vector Machine ◽  
Credit Scoring ◽  
Real Life ◽  
Assessment Model ◽  
Behavior Assessment ◽  
Support Vector ◽  
Classification Problems ◽  
Scoring Model ◽  
Multiple Classification ◽  
Credit Scoring Model

The general credit scoring model is to solve the two classification problems, but in real life we often encounter multiple classification problems. This paper proposes a multi-class support vector machine, which can solve multiple classification problems in the behavior assessment model.

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