中文摘要：

基于逼近理想解排序法的基本原理,选用岩石的单轴抗压强度σc、压拉比σc/σt、岩石的应力系数σθ/σc、弹性变形指数Wet 以及岩体的完整性系数Kv 等影响因素作为预测指标,以实际工程中的20个岩爆实例为样本,依据岩爆预测分级标准,运用粗糙集理论计算各预测指标支持度和权重,建立深部金属矿山的RS-TOPSIS岩爆预测模型,并在实际工程进行应用。结果显示,通过计算相对贴近度来确定分类区间的方法方便易行;建立RS-TOPSIS岩爆预测模型具有较高的准确度,预测精度达90%;对锌铜矿的岩爆预测结果与工程实际吻合,表明RS-TOPSIS岩爆预测方法具有工程实用价值,可以运用于深部金属矿山的岩爆预测。

英文摘要：

Based on the method of technique for order preference by similarity to ideal solution(TOPSIS),5 indices including uniaxial compressive strength σc ,the ratio of rock's compressive tensile strength σc /σt,the stress coefficient of rock cσθ/σ,the elastic energy index of rock Wet and integrality coefficient Kv were chosen as the predictor variables of rockburst. 20 rockburst cases were taken as the training and testing samples,according to the classification standard of rockburst,the supports and weighs of predictor variables were calculated by rough set theory,the RS-TOPSIS model of rockburst prediction was established. And the model was applied to practical engineering. The result shows that the method of fixing classification by calculating the relative closeness is easy;the RS-TOPSIS model of rockburst prediction has very high accuracy,the correct rate is 90%;the prediction results of Xintong mine agree well with the engineering practice. So,the RS-TOPSIS method is of practical value, can be used to predict the rockburst in deep metal mines.