Research on credit counting and risk evaluation for C2C e-commerce

LI Rui-xuan; GAO Chang; GU Xi-wu; LU Zheng-ding

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Research on credit counting and risk evaluation for C2C e-commerce

更新时间：2024-10-14

- Research on credit counting and risk evaluation for C2C e-commerce
- Vol. 30, Issue 7, Pages: 78-85(2009)
- 作者机构：
  
  华中科技大学计算机科学与技术学院智能与分布计算实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2009
- 稿件说明：
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LI Rui-xuan, GAO Chang, GU Xi-wu, et al. Research on credit counting and risk evaluation for C2C e-commerce[J]. 2009, 30(7): 78-85.
DOI：

LI Rui-xuan, GAO Chang, GU Xi-wu, et al. Research on credit counting and risk evaluation for C2C e-commerce[J]. 2009, 30(7): 78-85. DOI：

摘要

提出了一种改进的信用计分方法

该方法采用商品价格的区间分布来对成功交易进行加分

采用信用等级的扣分系数来对不同信用等级的失败交易进行扣分

可以解决信用炒作和周期欺骗问题。通过对信用风险的分析

在改进的信用计分模型的基础上

设计了一种网上交易的风险计算方法

该方法可以根据历史交易的情况以及当前交易的价格来对当前交易的风险进行评估。模拟实验结果表明

改进的信用计分方法具有较好的抗信用炒作和周期欺骗效果

所给出的风险评估方法对电子商务交易中的风险分析和预测是比较准确和有效的。

Abstract

An improved method of credit counting was introduced

which used the interval distribution of commodity prices to rate success trades and used different deducting coefficients to rate failed trades according to different credit rating.A risk evaluation approach for online transactions was proposed through analyzing the credit risks.It was based on the improved credit counting method.The approach could evaluate the risk of current trades according to the trading history and current trading prices.The simulation experiments show that the improved credit counting method is preferable on anti credit hyping and anti periodical cheating

and the risk evaluation method is relatively accurate and effective when it is used to analyze and forecast risk in the transactions of e-commerce.

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