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提出一种用以确定岩爆灾害评价中各指标权重的组合赋权(GEM-GW)方法。该方法依据信息熵理论,对基本熵权法进行改进,理论上解决熵权法在某些情况下不适用的问题,并引入欧几里得距离函数,使得主、客观权重之间和偏好系数间的差异程度一致,从而获得理想的综合权重。在该基础上,根据岩爆的成因及特点,选取影响岩爆的主要评价指标,同时对灰色聚类法进行优化,建立基于组合赋权的岩爆倾向性预测灰评估模型。利用该模型,对国内外一些重大深部岩石工程岩爆案例进行分析,并与模糊综合评判法、属性综合评判法、未确知测度评价法和物元分析法及实际情况进行比较。研究结果表明,该模型预测结果与实际情况吻合较好,预测精度较高,从而验证该模型的有效性及实用性。研究方法为岩爆灾害的准确预测提供一种切实可行的途径。
A combined weighting method (GEM-GW) is proposed to determine the weight of each index in rock burst assessment. This method improves the basic entropy method according to the theory of information entropy, and theoretically solves the problem that the entropy method is not suitable in some cases. The Euclidean distance function is introduced to make the relationship between the objective and objective weights and the preference coefficient The degree of difference between the same, so as to obtain the ideal comprehensive weight. On this basis, according to the causes and characteristics of rockburst, the main evaluation indexes that affect rockburst are selected. At the same time, the gray clustering method is optimized to establish a gray assessment model of rockburst predictability based on combination weighting. The rockburst case of some major deep rock engineering at home and abroad was analyzed by using this model. The results were compared with those of fuzzy comprehensive evaluation method, attribute comprehensive evaluation method, unascertained measure evaluation method, matter element analysis method and the actual situation. The results show that the predicted results of the model are in good agreement with the actual situation and the prediction accuracy is high, so as to verify the validity and practicability of the model. The research method provides a feasible approach for the accurate prediction of rockburst.