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全国信息化水平测度指标体系修正与分析
引用本文:刘一粟,沙晋明,金彪.全国信息化水平测度指标体系修正与分析[J].计算机系统应用,2018,27(6):214-219.
作者姓名:刘一粟  沙晋明  金彪
作者单位:福建师范大学 地理科学学院, 福州 350007,福建师范大学 地理科学学院, 福州 350007,福建师范大学 地理科学学院, 福州 350007;福建师范大学 软件学院, 福州 350108
基金项目:国家自然科学基金青年科学基金(61402109);科技部对欧合作专项(247608);福建省青年基金创新项目(2015J05120);福建省教育厅A类项目(JA15116)
摘    要:信息化水平测度是一项复杂、技术含量颇高的工作,主要问题集中在信息化水平测度指标体系指标选取与权重确定两方面.本文立足于现有信息化水平测度研究,综合地理学与统计学等方面的知识,通过词云分析、变异系数与相关系数、因子分析与客观赋权法等技术手段,在对现有指标体系进行修正的基础上建立一套科学合理的信息化水平测度指标体系,并对其结果进行了拟合分析,说明了该指标体系的合理性与科学性.

关 键 词:信息化  词云分析  相关系数  客观赋权法  拟合
收稿时间:2017/10/27 0:00:00
修稿时间:2017/11/14 0:00:00

Revision and Analysis of National Informatization Level Measurement Index System
LIU Yi-Su,SHA Jin-Ming and JIN Biao.Revision and Analysis of National Informatization Level Measurement Index System[J].Computer Systems& Applications,2018,27(6):214-219.
Authors:LIU Yi-Su  SHA Jin-Ming and JIN Biao
Affiliation:College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China,College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China and College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China;Faculty of Software, Fujian Normal University, Fuzhou 350108, China
Abstract:Estimating the level of informatization is a kind of complex, high technical content work, the problems mainly are the selection of indicators and the determination of weights in the informatization level measurement indicator system. Based on the existing informatization level measurement research, comprehensive geography and statistics, and other aspects of knowledge, through the word cloud analysis, coefficient of variation and correlation coefficient, factor analysis and objective weighting, and other technical means, a set of scientific and reasonable informatization level measure index system is established on the basis of amending the existing index system. The result is fitted and analyzed, which shows that the index system is reasonable and scientific.
Keywords:informatization  word cloud analysis  coefficient of variation  objective weighting method  fitting
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