基于综合加权法的主数据识别技术研究  

Research on the Master Data Identification Technology Based on the Synthetic Weighted Method

作　　者：刘涛[1,2] 李少波[2] 唐向红[2] 

机构地区：[1]贵州大学管理学院,贵阳550003 [2]贵州大学教育部现代制造技术重点实验室,贵阳550003

出　　处：《组合机床与自动化加工技术》2013年第3期56-59,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家科技支撑计划(2012BAF12B14);贵州省科技厅项目(黔科合计Z字[2012]4009)

摘　　要：为了提高主数据识别技术的高效性与精确性,论文通过对主数据识别方案及其关键技术的研究与比较分析,基于企业需求,设计出了一种规范化的企业主数据识别流程,并提出了一种基于综合加权法的主数据识别评分模版。基于综合加权法的主数据识别技术可快速准确地确定企业主数据,有效提高大型企业主数据管理效率,具有一定的理论和实际意义。In order to improve the efficiency and accuracy of master data identification technology, this pa- per standardized the process of enterprise master data identification, and proposed the master data Identify scoring pattern base on the synthetic weighted. Analyses of the master data identification program and im- plementation steps were needed through the process, which was based on the enterprise＇ s requirements. This technology, which has theoretical and practical significance, can identify the enterprise master data quickly and accurately, improve the efficiency of large-scale enterprise master data management（MDM）.

关 键 词：主数据 主数据识别 综合加权法 评分模板 

分 类 号：TH166[机械工程—机械制造及自动化]