Research on enterprise credit evaluation model of data transaction based on OWA operator and Fuzzy comprehensive evaluation

Jing Su, Yuan Liu, Yaqing Si, Liyong Duan, Yujing Gong
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Abstract

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.
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基于OWA算子和模糊综合评价的数据交易企业信用评价模型研究
由于数据产品种类多、数量多、更新快、价值难以确定等特点,数据交易依赖于交易平台提供的信用服务作为信用核查的核心,不仅难以规避信用风险,也无法满足数据交易多向发展的需求。因此,有必要完善数据市场信用服务体系,提供一种新的信用评价模型。本文构建了数据交易卖方企业的信用评价指标体系和信用评价等级。该模型采用OWA算子进行权重赋值,并结合多级模糊综合评价方法建立数据交易企业信用评价模型。该方法也适用于构建数据市场中其他业务主体的信用评价模型。
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