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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作者单位:

(1. 安徽大学数学科学学院,合肥230601;2. 安徽大学商学院,合肥230601;\hspace{3pt};3. 南京信息工程大学中国制造业发展研究院,南京210044)

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E-mail: shuiqiaozlg@126.com.

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TP273

基金项目:

国家自然科学基金项目(71771001,71701001,71501002,71871001,71901001,71901088);安徽省自然科学基金杰出青年基金项目(1908085J03);安徽省学术和技术带头人及后备人选项目(2018H179).


An approach to E-commerce credit risk assessment based on linguistic consensus model
Author:
Affiliation:

(1. School of Mathematical Sciences,Anhui University,Hefei230601,China;2. School of Business Sciences,Anhui University,Hefei230601,China;3. China Institute of Manufacturing Development,Nanjing University of Information Science and Technology,Nanjing210044,China)

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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并防范交易主体的合法权益.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. Firstly, 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 to revise 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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引用本文

吴澎,周礼刚,陈华友.基于语言共识模型的电子商务信用风险评价方法[J].控制与决策,2021,36(6):1465-1471

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  • 在线发布日期: 2021-05-10
  • 出版日期: 2021-06-20