摘要
企业资源计划(ERP)是指以信息技术为基础,针对物资、人员、财政和信息等资源,采用电子系统化的管理模式,为企业建立数据信息管理平台。为了提高ERP数据的管理和治理能力,提出基于模糊信息聚类分析的ERP数据优化检索和管理模型。建立ERP数据的分块存储结构模型,采用模糊特征标注方法进行ERP数据融合;建立ERP数据的语义本体结构模型,采用自适应的特征提取方法进行ERP数据的信息检索;提取ERP数据的关联特征量,采用模糊信息聚类方法进行ERP数据的信息融合,根据信息分布进行大数据融合聚类,实现ERP数据的优化管理和治理。仿真结果表明,采用该方法进行ERP数据治理的融合性较好,提高了数据管理的优化检索能力。
Enterprise resource planning(ERP)refers to the establishment of a data and information management platform for enterprises based on information technology with the electronic systematic management mode for materials,personnel,finance and information.In order to improve the management and management ability of ERP data,an ERP data optimization retrieval and management model based on fuzzy information clustering analysis is put forward.The block storage structure model of ERP data is established,and the fuzzy feature tagging method is used for ERP data fusion.The semantic ontology structure model of ERP data is established,and the adaptive feature extraction method is used for ERP data information retrieval.The associated feature quantity of ERP data is extracted,and the fuzzy information clustering method is used for ERP data information fusion,and the big data fusion clustering is carried out according to the information distribution to realize the optimal management and governance of ERP data.The simulation shows that the proposed method has better integration of ERP data management,which improves the optimal retrieval ability of data management.
作者
徐敏
薛晓茹
王国梁
齐慧
XU Min;XUE Xiao-ru;WANG Guo-liang;QI Hui(Information and Communication Branch,State Grid Anhui Electric Power Co.,Ltd.,Hefei 230061,China)
出处
《计算机技术与发展》
2020年第10期21-25,共5页
Computer Technology and Development
基金
国网安徽省基金项目(22345878032)。
