摘要
行政监督量化考核指标虽然实施数年,对这些指标量之间的关系和作用的分析却很少涉及,为了提高行政监督考核量化指标的设置,分析指标间的相互关系,利用行政监督管信息管理系统的数据,应用主成分分析方法对不同业务的量化分级管理数据进行处理,依照不同的贡献率从数据中提炼出主信息,可去掉变量之间的多重相关性,简化考核指标项,指导优化行政监督过程,提高效率、降低成本。
Tile quantitative assessment index of adnfinistrative supervision is implenmnted several years, and the analysis on relationship and effect between these indices is rarely involved. In order to improve the setting of quantitative assessment indices of administrative supervision, analyze the relationship between indices and use the data of administrative supervision information management system, the quantitative classification management data of different businesses are handled by the principal component analysis method and the main mfonuation is extracted from data according to the different contribution rates. This method can remove the multiple correlation between variables, simplfy the index terms, direct the optimization of administrative supervision procedure, increase the efficiency and reduce the COSt.
出处
《计算机与网络》
2014年第12期62-64,共3页
Computer & Network
关键词
行政监督
量化分级
主成分分析
administrative supervision
quantitative classification
principal component analysis