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中文摘要：
针对岩体可爆性分级中尚未解决的模糊性与随机性问题，结合乘积标度法（PSM）和云模型（CM）理论，提出了一种岩体可爆性分级的PSM．CM方法。选用岩石容重、抗拉强度、冲击动载强度和完整性系数作为分级指标，依据分级标准，计算各指标隶属于不同等级的云模型参数，通过正向高斯云发生器，求得实测样本指标值各等级确定度，再结合基于乘积标度法得到的各指标权重，计算样本综合确定度，根据最大综合确定度隶属等级确定岩体可爆性级别。该方法能解决可爆性分级中诸多因素的不确定性问题，还可对同一等级的岩体可爆性大小进行排序。将该方法应用于贵州某磷矿山岩体可爆性分级中，结果表明，该方法具有较高的准确性和可靠性，可在工程实际中推广应用。
英文摘要：
Aiming at the fuzziness and randomness in rock mass blastability classification, product scaling method （PSM） and cloud model （CM） were combined to establish a PSM-CM model for rock mass blastability classification. With the bulk density, tensile strength, dynamic strength under impact and rock mass integrity index chosen as evaluation indexes, the cloud model parameters were calculated for each classification index at different levels based on the classification standard. And the generation algorithm of normal cloud was adopted to analyze the certainty degrees of measured indicators to each evaluation standard. Then the comprehensive certainty degrees were calculated according to the weights of evaluation indicators obtained by product scaling method, and the blastability grade is determined by the grade of maximum comprehensive certainty degree. This method can not only solve the uncertainty of many factors in the rock mass blastability classification, but also sort blastability by size for the same level rock masses. Finally, this method was adopted in the rock mass blastability classification for a phosphate mine in Guizhou Province. The accuracy and reliability of results indicate it can be widely applied into engineering practice.
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