尾矿坝稳定性属性识别的因素空间-未确知测度模型  

Factor Space-Unascertained Measure Model Based on Attribute Recognition of Tailings Dam Stability

作　　者：李辉 易富[1] 张佳[2] 杜常博[1] Li Hui;Yi Fu;Zhang Jia;Du Changbo(College of Civil Engineering,Liaoning I'echnieal University,Fuxin 123000,China;Department of Railway Engineering,Liaoning Rdilway Vocational and Technical College ,Jinzhou 121000,China)

机构地区：[1]辽宁工程技术大学土木工程学院,辽宁阜新123000 [2]辽宁铁道职业技术学院铁道工程系,辽宁锦州121000

出　　处：《金属矿山》2019年第3期161-167,共7页Metal Mine

基　　金：国家自然科学基金项目(编号:51774163)

摘　　要：针对影响尾矿坝稳定性的因素众多、各因素之间彼此耦合且存在大量未确知信息的问题,将尾矿坝稳定性视为结果因素,选取对其有影响的18个定量因素和9个定性因素作为条件因素,构建了尾矿坝稳定性属性识别系统的因素空间。将未确知数学理论引入因素空间,构建了因素空间-未确知测度模型,并讨论了该模型的求解方法。通过层次分析法(analytic hierarchy process,AHP)和信息熵理论计算主客观权重,确定各条件因素的组合权重,运用因素合成方法将高维度的因素空间降维成一维合因素轴,得到合因素测度识别向量,依据置信度准则对尾矿坝稳定性进行评价。以某尾矿坝为例进行了模型验证与分析,结果表明:模型对于尾矿坝稳定性因素的识别结果与现场判别结果基本一致,反映出该模型有助于解决尾矿坝稳定性评价问题,可为类似复杂系统的诊断评价提供参考。There are many factors influencing the stability of tailings dam,which are coupled with each other and have a lot of unascertained information.In order to solve this problem,the stability of tailings dam is considered as the result factor,and 9 qualitative factors and 18 quantitative factors influencing the result factor are selected as condition factors to construct the factor space for attribute recognition of tailings dam stability.The unascertained mathematics theory is introduced into the factor space to construct the factor space-unascertained measure model,and the solution method of this model is discussed.The subjective and objective weights are calculated by analytic hierarchy process(AHP) and information entropy theory,and the synthetical weight of each condition factor is determined.By using factor synthesis method,the high dimension of factor space is reduced to one dimension combined factor axis,and the identification vector of combined factor is obtained.The stability of a tailings dam is evaluated according to the confidence criterion.This model is applied to the engineering practice to verify its feasibility and applicability.The results show that the attribute recognition results of tailings dam stability is basically consistent with the field discrimination results,which indicated thet the model established in this paper is help for solving the tailings dam stability evaluation problem and could provide valuable reference for diagnosis and evaluation of similar complex systems.

关 键 词：尾矿坝 稳定性属性识别 因素空间 未确知测度 组合权重 降维 

分 类 号：TD771[矿业工程—矿井通风与安全]