摘要
为了正确客观地评价企业的数据治理水平,本文提出了基于证据分组合成的企业数据治理评价模型.首先,构建数据治理评价指标体系并确定指标权重.其次,为了解决证据合成过程中易出现的"一票否决"和证据冲突问题,本文分别采用了语言评语集,以及一种改进的同时考虑证据源权重和证据体间差异的证据分组方法.然后,进行组内和组间的证据合成得到最终的评价结果.最后,本文以H商业银行为例进行实证分析,验证了该改进方法的可行性和实用性.
In order to properly evaluate the level of data governance in enterprises, a data governance evaluation model based on a grouping method for combining evidence was proposed. Firstly, the evaluation index system of data governance is built and the indexes weights are determined. Secondly, in order to solve the ＂0 absolutization＂ problem and reduce the conflict of evidence, language evaluation sets and evidence grouping methods are used in this research. Then, the final results are gotten by combining the evidence twice within a group and between groups. Finally, the data governance of H commercial bank was selected to experiment. Empirical results verified the effectiveness and practicality of the proposed method.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2016年第6期1505-1516,共12页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71101042
71271202
71471054)
高等学校博士学科点专项科研基金(20110111120014)
中国博士后科学基金(2011M501041
2013T60611)
国家重点基础研究发展计划(973计划)(2013CB329603)~~
关键词
数据治理评价
证据理论
语言评语集
证据分组合成
证据综合距离
data governance evaluation
evidence theory
language evaluation sets
grouping combination
evidence distance
