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灰靶决策理论在岩爆烈度等级评价中的应用
引用本文:周鑫隆,章光,李俊哲,胡少华.灰靶决策理论在岩爆烈度等级评价中的应用[J].中国安全科学学报,2019(5):19-24.
作者姓名:周鑫隆  章光  李俊哲  胡少华
作者单位:武汉理工大学安全科学与应急管理学院;武汉理工大学资源与环境工程学院;武汉理工大学道路桥梁与结构工程湖北省重点实验室
基金项目:国家自然科学基金资助(51609184);道路桥梁与结构工程湖北省重点实验室开放基金资助(DQJJ201705);中央高校基本科研业务费资助项目(185208001);国家“十三五”重点研发计划重点专项项目(2017YFC0804600)
摘    要:为解决小样本情形下岩爆烈度等级评价的模糊性和不确定性问题,提出基于多因素灰靶决策理论的岩爆烈度评价方法。首先,利用该方法构建评价指标体系,采用灰色关联法确定各指标权重系数;然后,引入基于正负靶心的灰靶决策理论,建立多维空间岩爆烈度等级评价模型,利用空间投影距离法建立不同岩爆烈度等级的综合靶心距分布集;最后,通过度量靶心距的大小判定岩爆烈度等级。研究结果表明:该方法的评价结果与实际岩爆情况相吻合;相较于粗糙集理论和Russenes判据,能够弱化因信息量不足所造成的决策模糊性,给出更为确切的岩爆烈度判定结果。

关 键 词:岩爆烈度  风险等级  灰靶决策  灰色权重  综合靶心距

Application of grey target decision-making theory in evaluation of rock burst intensity
ZHOU Xinlong,ZHANG Guang,LI Junzhe,HU Shaohua.Application of grey target decision-making theory in evaluation of rock burst intensity[J].China Safety Science Journal,2019(5):19-24.
Authors:ZHOU Xinlong  ZHANG Guang  LI Junzhe  HU Shaohua
Institution:(School of Safety Science and Emergency Management,Wuhan University of Technology, Wuhan Hubei 430070,China;School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan Hubei 430070,China;Hubei Key Laboratory of Roadway Bridge and Structure Engineering,Wuhan University of Technology,Wuhan Hubei 430070,China)
Abstract:In order to reduce the fuzziness and uncertainty in rock burst intensity evaluation caused by incomplete information,an evaluation method for rock burst intensity was proposed based on grey target decision-making theory. Firstly,evaluation index system was constructed,and grey system theory was introduced to confirm the weighted coefficient of each index. Then the multi-attribute grey target theory was introduced to construct multi-dimensional evaluation model for rock burst intensity. Space projector distance was used to construct distribution sets of the comprehensive bull's eye distance under different intensity levels. Finally,rock burst intensity grade was determined by measuring the off-target distance. Results show that the assessment results by the proposed method are in line with the actual situation,and that compared to the Russenes criteria and rough set theory,the proposed method can reduce the fuzziness of decison caused by incomplete information and give more explicit intensity degree of the test sample.
Keywords:rock burst intensity  risk degree  grey target decision-making  grey weight  comprehensive bull's eye distance
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