基于语言共识模型的电子商务信用风险评价方法
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安徽大学数学科学学院

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TP273

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An approach to E-commerce credit risk assessment based on linguistic consensus model
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School of Mathematical Sciences

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    摘要:

    电子商务信用风险评价能够更好地维护市场规则和防范交易主体的合法权益.本文从语言评价信息的角度,利用多属性群决策方法对电子商务信用风险评价方法进行了探讨.首先,提出个体语言共识测度和群体语言共识测度.然后,针对共识性水平较低的决策群体.构建了一种整数规划模型,用于调整决策者给出的初始语言决策信息.最后,提出了一种基于语言共识模型的电子商务信用风险评价方法,并通过电子商务信用风险评价问题说明了该方法的可行性和有效性.

    Abstract:

    E-commerce credit risk assessment can better maintain market rules and prevent the legitimate rights and interests of trading entities. According to linguistic evaluation information, this paper utilizes multi-attribute group decision making methods to investigate the approach to E-commerce credit risk assessment. First, individual consensus measure and group consensus measure are proposed. Then, an integer programming model is developed to improve the consensus level of decision group with lower consensus level by revising the original linguistic evaluation information. Finally, an approach to E-commerce credit risk assessment based on linguistic consensus model is presented. The feasibility and effectiveness of this approach are verified by E-commerce credit risk assessment problem.

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  • 收稿日期:2019-10-04
  • 最后修改日期:2020-11-28
  • 录用日期:2020-01-18
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