中文摘要：

煤与瓦斯突出主控因素的科学确定是突出预测及防治的重要前提条件。根据突出综合作用假说及瓦斯地质理论确定了平顶山东部矿区的突出影响因素为开采深度、瓦斯、煤的物理力学性质、地质构造、煤层和构造煤厚度及煤层透气性系数。建立了熵权灰色关联分析模型,分析得出平顶山东部矿区突出影响因素的熵权灰色关联序为开采深度、瓦斯压力、断层特征系数、煤厚特征系数、f、Δp、煤体破碎程度、透气性系数。结合平顶山东部矿区的实际情况分析突出影响因素的重要性,验证了熵权灰色关联法计算得到的关联序结果是正确的。结果表明,熵权灰色关联方法具有模糊、随机、灰色等特征,对数据要求较低且计算量小,应用该方法分析突出主控因素是可行和有效的。

英文摘要：

Based on the entropy theory and grey system theory, the objective of the paper is to bring about an analysis of the dominant controlling factors leading to the coal and gas outbursts based on the entropy weight and grey correlation analysis method, for the method can combine the advantages of the grey correlation and the entropy weight method in evaluating the weight of the gas＂ outburst factors and giving out the results more in line with the practical situation. For this purpose, 8 controlling factors were selected from the 20 authentic cases of the gas outburst coal mines in Pingdingshan eastern mining area as the case study samples. Taking into account the gas outburst comprehensive effect of the hypothesis and theory of gas geology, it is assumed that the gas outburst dominant controlling factors in the mining area should in- a elude the mining depth, the physical and mechanical properties of the coal, the geological structure of the mining status-in-situ, the thickness of the coal seam and the tectonic coal as well as the coal seam permeability coefficient. Given the entropy weight and grey correlation analysis model, the entropy weight and the grey corre- lation sequence of the gas outburst multivariate analysis in this mining area should take a descending order, that is, the gas pres- sure 〉 fault characteristics coefficient 〉 the characteristics coef- ficient 〉 f 〉 Ap 〉 coal size 〉 A. The results of the entropy weight and the grey correlation method have been verified to be correct through an analysis of the actual situation in the aforemen- tioned mining area. The results show that the entropy weight and grey correlation method can provide a theoretical guidance for pre- venting such likely gas outbursts in the mining area and a novel method for analyzing the gas outburst controlling factors for other similar coal mines, for it enjoys the distinguished features of being fuzzy, random and grey, with low data quantity requirements and the minimalist amount of calculations. Thus, the method