基于数据挖掘的企业诚信度评价模型  

Data mining based evaluation model of enterprise credibility

作　　者：王颖 WANG Ying(College of Computer and Information Engineering,Guizhou University of Commerce,Guiyang 550014,China)

机构地区：[1]贵州商学院计算机与信息工程学院,贵州贵阳550014

出　　处：《现代电子技术》2018年第9期161-164,共4页Modern Electronics Technique

基　　金：贵州省教育厅青年科技人才成长项目:企业安全生产诚信体系信息化建设(黔教合KY字2016[237])~~

摘　　要：针对当前企业诚信度评价精度低的难题,结合企业诚信度的特点,提出基于数据挖掘的企业诚信度评价模型。建立企业诚信度评价指标,并根据指标收集评价数据,采用主成分分析法对企业诚信度评价指标进行筛选,得到比较重要的企业诚信度评价指标,采用熵值法确定企业诚信度评价指标权值,并通过数据挖掘实现企业诚信度评价,进行具体企业诚信度评价测试。实验结果表明,所提方法能够有效挖掘企业诚信度的变化特点,获得了较高精度的企业诚信度评价结果。In order to improve the evaluation precision of the current enterprise credibility,the characteristics of enterprise credibility is combined to put forward a data mining based evaluation model of enterprise credibility.The evaluation index of en-terprise credibility is established,according to which the evaluation data is collected.The principal component analysis is used to screen the evaluation index of enterprise credibility to obtain the more important evaluation index of the enterprise credibility.The entropy method is adopted to determine the weight of the enterprise credibility evaluation index.The data mining is used to realize the evaluation of enterprise credibility.The specific evaluation of enterprise credibility was tested.The experimental re-sults show that the method can mine the change characteristics of enterprise credibility effectively,and obtain the high-precision evaluation result of enterprise credibility.

关 键 词：企业诚信度 评价模型 数据挖掘 仿真实验 评价指标 熵值法 

分 类 号：TN911-34[电子电信—通信与信息系统]