摘要
利用大数据平台并结合数据挖掘和层次分析理论,在大数据背景下首次提出一种将定性与定量评估相结合的电力信息系统成熟度综合评估方法。在大数据平台对系统海量应用数据进行挖掘,建立起业务系统成熟度评估指标体系,根据层次分析理论构建业务系统成熟度评估层次递阶结构模型,构建成对比较矩阵求取业务系统成熟度,结合实例验证了该方法的有效性,并对后续研究做出展望。
Based on big data theory and hierarchy analysis, a comprehensive maturity assessment method of operational system based on qualitative and quantitative analysis is proposed. Firstly, by data mining of massive application data, maturity evaluation index are extracted. Then, a hierarchical of structure maturity assessment system is built based on analytic hierarchy process. Finally, according to original score of each scheme indexes, sorting weight matrix of the solution layer and hierarchical ranking weight vector are constructed and integrated weight vector for maturity assessment are calculated. The validity of proposed method is verified by examples.
出处
《中国电力》
CSCD
北大核心
2016年第10期114-118,共5页
Electric Power
关键词
电力信息系统
大数据平台
数据挖掘
层次分析法
成熟度评估
power information system
big data
data mining
analytic hierarchy process
maturity assessment
