Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function

  • Xiao, Qiang (School of Traffic and Transportation, Lanzhou Jiaotong University) ;
  • He, Rui-chun (School of Traffic and Transportation, Lanzhou Jiaotong University) ;
  • Zhang, Wei (School of Traffic and Transportation, Lanzhou Jiaotong University)
  • Received : 2013.11.27
  • Accepted : 2014.03.31
  • Published : 2015.06.30
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Abstract

At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in E-commerce has emerged. This phenomenon affects the judgment of consumers and hinders the rapid development of E-commerce. In this paper, that E-commerce credit evaluation model that uses a Gaussian density function is put forward by density test and the analysis for the anomalies of E-commerce credit rating, it can be fond out the abnormal point in credit scoring, these points were calculated by nonlinear credit scoring algorithm, thus it can effectively improve the current E-commerce credit score, and enhance the accuracy of E-commerce credit score.

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