针对传统电子商务交易风险评估精度低的难题，为了获得更加理想的电子商务交易风险评估结果，提出灰色关联分析和相关向量机的电子商务交易风险评估模型。首先根据相关研究构建电子商务交易风险的评估指标，并采用灰色关联分析选择对评估结果最重要的评估指标；然后采用最小二乘支持向量机对电子商务交易风险评估样本进行学习，构建电子商务交易风险的评估模型；最后对模型的有效性和优越性进行分析。结果表明，该模型提高了电子商务交易风险的评估精度，能够为电子商务交易提供有价值的参考信息。%To improve the low assessment accuracy of the traditional e?commerce transaction exposure,and obtain more sa?tisfied assessment result of the e?commerce transaction exposure,an e?commerce transaction exposure assessment model based on the grey relational analysis and relevance vector machine is proposed. The assessment indicators of the e?commerce transac?tion exposure were constructed according to the relevant researches. The gray relational analysis is used to select the important assessment indicator for the assessment results. The least square support vector machine is used to learn the evaluation samples of the e?commerce transaction exposure to construct the assessment model of the e?commerce transaction exposure. The validity and superiority of the model are analyzed. The results show that the model can improve the assessment accuracy of the e?com?merce transaction exposure,and provide the valuable reference information for the e?commerce transactions.
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