基于多因素模糊综合评价的某铁矿采空区危险度评定  

Risk Assessment on an Iron Goaf Based on Multi-factor Fuzzy Comprehensive Evaluation

作　　者：朱为民[1] 李想[1] 陈国梁[1] 朱明[1] 刘晓军[1] 

机构地区：[1]江西理工大学资源与环境工程学院,江西赣州341000

出　　处：《有色金属科学与工程》2011年第4期71-75,共5页Nonferrous Metals Science and Engineering

摘　　要：根据模糊数学的原理,以影响采空区稳定性的地质和水文条件、采空区特征参数及其他等3种因素共16项因子为指标集,同时以我国矿山采空区稳定性的5个评价等级为评价集,对各因素之间权重按多因素两两对比法来确定,在此基础上建立了采空区危险度评定的多因素模糊综合评价模型.并以该评定模型对某铁矿420中段至460中段的采空区进行了危险度评定,评定结果为该采空区处于危险度较高的第Ⅱ级.This paper studies the risk assessment on an iron goaf by using the geological and hydrological conditions affecting the stability,characteristics parameters of mined-out areas as index set according to the principle of Fuzzy Mathematics.5 rating scales for assessing the mined-out area＇s stability in China are applied as evaluation set.The percentage between two factors is determined by comparing the multiple factors.We set up the fuzzy comprehensive evaluation model for the Goaf risk assessment.The stability evaluation between the sublevel 420 to 460 goaf of an iron ore is performed by applying this assessment model.The risk evaluation result is in the relative higher level II.

关 键 词：模糊数学 采空区 稳定性 分级 多因素 综合评价 

分 类 号：TD325.3[矿业工程—矿井建设]