%0 Journal Article %A XUE Li-ming %A LIU Bao-kang %A ZHENG Zhi-xue %A LI Chang-ming %A ZHANG Shui-jing %A ZHU Lin-long %A SU Chao %A XU Cui-yun %T Evaluation of Sustainable Capacity of Coal Resources Based on Extension Cloud Theory and Ideal Point Method %D 2018 %R 10.31497/zrzyxb.20170789 %J JOURNAL OF NATURAL RESOURCES %P 1657-1665 %V 33 %N 9 %X Traditional methods of sustainable capacity evaluation of coal resources cannot take account of the incompatibility of multi-indexes and the randomness and fuzziness of the boundary information of classes. A new evaluation model by integrating the extension cloud theory of the matter-element concept and the combined weight of ideal point method is established. The matter-element extension cloud model is constructed by applying the extension cloud theory. Ideal point method is introduced to integrate the subjective weighting approach and the objective weighting approach so that the combination weight of each index can be obtained. The cloud related degree of each sustainable capacity class of coal resources can be calculated by correlation function, and in turn the comprehensive related degree can be obtained by integrating the combination weight with the related degree, and finally the classification of sustainable capacity can be achieved. The evaluation model is applied to evaluate the sustainable capacity of coal resources in Hebei Province in 2015, and the result is in highly consistent with the spot survey results. The value of evaluation grade is 3.069, which is quite close to level Ⅲ. The probability of each grade is calculated through the cloud generator. The evaluation result shows that the sustainable capacity of coal resources in Hebei Province in 2015 is at medium level. Compared with the existing methods, the evaluation method is reasonable and scientific. This model based on the extension theory and ideal point method provides a new reference for those who evaluate the sustainable capacity of natural resources. %U https://www.jnr.ac.cn/EN/10.31497/zrzyxb.20170789