基于PCA-FUZZY的城镇化发展水平综合评价  

Application of Improved Fuzzy Comprehensive Evaluation Method in Comprehensive Evaluation of Urbanization Development Level

作　　者：赵文英 于良娟 谢威 祖培福 ZHAO Wenying;YU Liangjuan;XIE Wei;ZU Peifu(School of Mathematical Science,Mudanjiang Normal College,Mudanjiang 157011,China)

机构地区：[1]牡丹江师范学院数学科学学院,黑龙江牡丹江157011

出　　处：《牡丹江师范学院学报（自然科学版）》2021年第1期16-20,共5页Journal of Mudanjiang Normal University：Natural Sciences Edition

基　　金：黑龙江省教育教学改革一般项目(SJGY20180515);牡丹江师范学院创新创业特色项目(201910233053);牡丹江师范学院学位与研究生教育教学改革项目(MSY-YJG-2018YB014)。

摘　　要：构建测量城镇化水平的综合指标体系,评价我国城镇化水平.采用“主成分-模糊综合评价法(PCA-FUZZY)”对我国2004-2017年的城镇化水平进行综合评价.结果表明:我国城镇化水平呈现稳步增长;国家需要在提高就业率和增加城市绿化面积问题上加大投入力度.主成分-模糊综合评价法去除了指标间信息重叠的问题,将具有不明确意义的主成分进行模糊综合评价,避免了两种方法的一些缺点,其评价结果可信度更高.In order to measure the level of urbanization in China,the comprehensive index system has been constructed.Principal component fuzzy comprehensive evaluation method(PCA-FUZZY)is adopted to evaluate the urbanization level of China from 2004 to 2017.The results show that the level of urbanization in China is increasing steadily;At the same time,the state also needs to increase investment in improving employment rate and increasing urban green area;In the PCA-FUZZY method,the problem of overlapping information between indicators is eliminated,and the fuzzy comprehensive evaluation of principal components with unclear meaning is carried out,which avoids some shortcomings of the two methods,and its evaluation results have higher credibility.

关 键 词：城镇化 PCA-FUZZY法 指标体系 综合评价 

分 类 号：F727[经济管理—产业经济]