中国矿业城市可持续力聚类分析  

Fuzzy clustering analysis of degree of sustainable development for mining cities in China

作　　者：苏顺华[1] 余敬[1] 柯小玲[1] 

机构地区：[1]中国地质大学(武汉),湖北武汉430074

出　　处：《中国矿业》2010年第3期7-9,共3页China Mining Magazine

基　　金：国家自然科学基金项目(No.70673095);教育部新世纪优秀人才支持计划项目(No.NCET-08-0832);中国地质大学(武汉)人文社会科学基金资助项目(No.cugsk0601)

摘　　要：本文首先运用加速遗传模糊聚类算法,将中国78座主要矿业城市按照可持续力,分成了强、较强、一般和低4个最佳类别。然后在分类的基础上,得出了中国绝大多数矿业城市的可持续力还处于中、低水平的结论,并提炼出矿业城市所处的发展阶段、空间分布、资源类型和城市规模等属性和指标要素与可持续力之间的4条规则,以期为中国矿业城市可持续发展提供科学的决策依据。The seventy-eight Chinese major mining cities are classified into four clusters with accelerating genetic fuzzy clustering algorithms in terms of the degree of sustainable development at first. And then it can be concluded that the degree of sustainable development of majority of China′s mining cities is at low-level. Finally four rules between attributes （city age, city location, type of mineral industry, city size） and indicator as well as the degree of sustainable development are proposed. The results are expected to form a basis decision-making in the sustainable development of mining cities in China.

关 键 词：矿业城市 可持续力 模糊聚类 

分 类 号：F407.1[经济管理—产业经济]