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

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.