基于模糊C聚类对城市宜居性的综合评价

摘要

针对宜居城市的评价,选择影响城市宜居性的主要显著指标,运用主成分分析和模糊C均值聚类分析等方法,分别建立主成分分析和模糊C均值聚类模型,运用SPPS、Excel、Matlab等软件编程求解,得出结论:影响指标之间的相互承载关系并抽取其中主要影响成分;查阅统计年鉴获得宿迁、连云港、宿州、商丘、济宁、枣庄、徐州、淮北这八个城市的各项指标数据,通过模糊C均值聚类,将其划归为三种宜居城市类型并做Friedman检验;最终建立一套完整的宜居城市评价体系.%For the evaluation of livable city, comprehensive analysis of the significant impact on urban livability index, principal component analysis and fuzzy C-means clustering analy-sis model, using SPPS, Excel, and Matlab software, the bearing relations between each in-dex is obtained and extract the main influence elements.According to the statistical yearbook for Suqian, Lianyungang, Suzhou, Shangqiu, Jining, Zaozhuang, Xuzhou, Huaibei each in-dex data of the eight cities by fuzzy C-means clustering, would be classified as three types of livable city and do Friedman test.A complete set of livability evaluation model was estab-lished.