Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function

نویسندگان

  • Qiang Xiao
  • Ruichun He
  • Wei Zhang
چکیده

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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عنوان ژورنال:
  • JIPS

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2015