基于改进模糊聚类模型的居民生活水平评价  

Based on the improved fuzzy clustering model for residents living level evaluation

作　　者：开隽 朱永忠[1] 

机构地区：[1]河海大学理学院,南京210098

出　　处：《信息技术》2016年第4期18-22,31,共6页Information Technology

基　　金：国家自然科学基金资助项目(50979029);河海大学自然科学基金项目(2008431111)

摘　　要：在简要分析城镇居民生活水平影响因素的基础上,构建了基于就业情况、收入层次结构、收入来源结构、生活必需品消费和非生活必需品消费五个方面21个指标的城镇居民生活水平评价指标体系,并尝试将改进的聚类分析方法应用到生活水平综合评价中。选取江苏省城镇居民生活水平进行实证分析,结果表明:每户家庭人口数和高收入家庭人均收入是构成城镇家庭生活水平的最主要因素,该模型为城镇居民生活水平评价具有一定的意义。In the brief analysis of influencing factors on the basis of the urban residents living standard,from the basic employment,income level,income structure,the necessities of life consumption and non necessities of life consumption of 5 selected 21 indicators,this paper constructed the evaluation index system,and tried to improve the clustering analysis method to apply to the standard of living of comprehensive evaluation. It presents an empirical analysis on urban residents in Jiangsu province. The results show that each household population and high income family per capita income are the most important factor of urban families living standard,the model for the urban residents living standard evaluation has a certain significance.

关 键 词：模糊聚类 隶属度 生活水平 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] O232[自动化与计算机技术—计算机科学与技术]