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机构地区:[1]河南理工大学资源环境学院,河南焦作454000
出 处:《河南理工大学学报(自然科学版)》2016年第6期759-764,共6页Journal of Henan Polytechnic University(Natural Science)
基 金:国家自然科学基金资助项目(405072025)
摘 要:为掌握各因素对采空区地面塌陷危险性评价的不同影响以及部分因素之间存在的联系,采用Rough set理论对采空区地面塌陷危险性进行评价。该理论具有强大的数据挖掘和知识发现能力,把属性集合中的相关性弱以及重要性差的属性删除,从而能构建相对客观可靠的评价模型。以平煤八矿采空区地面塌陷为例,根据野外调查资料,对其采空区地面塌陷进行危险性评价,结果与实际调查情况基本吻合,表明Rough set理论在评价采空区地面塌陷危险性方面是适用的。In order to grasp the different influence degree of various factors on the risk assessment of groundcollapse in mined out area and a link between some factors, Rough set was adopted to evaluate the risk ofground collapse in mined out area. The theory has strong ability of data mining and knowledge discovery, andthe core idea is knowledge reduction. That is , the theory can delete the attributes of the weak and the poor inthe collection attributes, and then build the objective and reliable evaluation model. Taking the goaf surfacesubsidence information of the No. 8 Mine of Pingdingshan Tian, an Coal Mining Corp. Ltd as example, combiningwith the field survey data, the goaf surface subsidence is evaluated. Evaluation result is close to the fact,therefore, it is feasible to evaluate the risk of goaf surface subsidence by using the Rough set.
分 类 号:X820.4[环境科学与工程—环境工程]
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