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摘要:Because data products are characterized by wide variety,large quantity,fast updating and difficult to determine the value,data transaction relies on the credit service provided by the trans-action platform as the core of the credit check not only is difficult to avoid credit risk,but also cannot meet the demand of multi-directional development of data transaction.Therefore,it is necessary to improve the data market credit service system,provide a new credit evaluation model.This paper constructs the credit evaluation index system and credit evaluation rating of the seller enterprise of the data transaction.The OWA operator is used to assign weights in this model,and the multi-level fuzzy comprehensive evaluation method is combined to establish the credit evaluation model of the enterprise of the data transaction.This method is also suitable for constructing the credit evaluation model of other business entities in the data market.
会议名称:

2020 International Conference on Control, Robotics and Intelligent System (CCRIS 2020)

会议时间:

2020-10-27

会议地点:

中国福建厦门

  • 专辑:

    经济与管理科学

  • 专题:

    企业经济

  • DOI:

    10.26914/c.cnkihy.2020.045884

  • 分类号:

    F274

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