Rock burst laws in deep mines based on combined model of membership function and dominance-based rough set

作     者：刘浪 陈忠强 王李管 LIU Lang;CHEN Zhong-qiang;WANG Li-guan

作者机构：Energy School Xi’an University of Science and Technology Beijing General Research Institute of Mining and Metallurgy School of Resources and Safety Engineering Central South University 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2015年第22卷第9期

页      面：3591-3597页

核心收录：

学科分类：0810[工学-信息与通信工程] 081901[工学-采矿工程] 0819[工学-矿业工程] 0806[工学-冶金工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project(2011AA060407) supported by the National High Technology Research and Development Program of China 

主　　题：deep mine rock burst membership function dominance relation rough set 

摘      要：Rock bursts are spontaneous, violent fracture of rock that can occur in deep mines, and the likelihood of rock bursts occurring increases as depth of the mine increases. Rock bursts are also affected by the compressive strength, tensile strength, tangential strength, elastic energy index, etc. of rock, and the relationship between these factors and rock bursts in deep mines is difficult to analyze from quantitative point. Typical rock burst instances as a sample set were collected, and membership function was introduced to process the discrete values of these factors with the discrete factors as condition attributes and rock burst situations as decision attributes. Dominance-based rough set theory was used to generate preference rules of rock burst, and eventually rock burst laws analysis in deep mines with preference relation was taken. The results show that this model for rock burst laws analysis in deep mines is more reasonable and feasible, and the prediction results are more scientific.