中文摘要：

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。

英文摘要：

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.