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煤与瓦斯突出预测层次分析-模糊综合评判方法
引用本文:郭德勇,范金志,马世志,王仪斌.煤与瓦斯突出预测层次分析-模糊综合评判方法[J].北京科技大学学报,2007,29(7):660-664.
作者姓名:郭德勇  范金志  马世志  王仪斌
作者单位:1. 中国矿业大学(北京)资源与安全工程学院,北京,100083
2. 中国矿业大学(北京)资源与安全工程学院,北京,100083;济宁煤炭工业局,济宁,272017
3. 平顶山煤业集团公司,平顶山,467000
基金项目:国家自然科学基金 , 教育部跨世纪优秀人才培养计划
摘    要:将层次分析和模糊综合评判方法结合起来应用于煤与瓦斯突出预测研究中.运用层次分析法确定了煤与瓦斯突出各影响因素权重系数,采用隶属函数构造了单因素判别矩阵,并运用模糊综合评判法建立了煤与瓦斯突出预测模型. 对平顶山研究区典型工作面进行了瓦斯突出危险性的定量预测和突出等级划分.结果表明,应用层次分析-模糊综合评判方法预测煤与瓦斯突出强度是可行的.

关 键 词:煤与瓦斯突出  突出预测  层次分析  模糊综合评判  煤与瓦斯突出预测  层次分析法  模糊综合评判方法  fuzzy  comprehensive  evaluation  analytic  hierarchy  process  coal  and  gas  outburst  method  of  突出强度  结果  等级划分  定量预测  突出危险性  工作  预测研究  平顶山  预测模型  评判法  判别矩阵  单因素  函数构造
修稿时间:2007-03-022007-04-07

Prediction method of coal and gas outburst by analytic hierarchy process and fuzzy comprehensive evaluation
GUO Deyong,FAN Jinzhi,MA Shizhi,WANG Yibin.Prediction method of coal and gas outburst by analytic hierarchy process and fuzzy comprehensive evaluation[J].Journal of University of Science and Technology Beijing,2007,29(7):660-664.
Authors:GUO Deyong  FAN Jinzhi  MA Shizhi  WANG Yibin
Institution:1. Resource and Safety Engineering School, China University of Mining and Technology (Beijing;Group
Abstract:The prediction of coal and gas outburst was studied by analytic hierarchy process(AHP)and fuzzy comprehensive evaluation.In the prediction method,AHP was applied to confirm the weights of coal and gas outburst factors,the judgment matrix of each factor was constructed by membership functions,and the prediction model of coal and gas outburst was established by the fuzzy comprehensive evaluation method.The prediction method was applied in risk type areas to forecast the coal and gas outburst quantitative intensity and the risk grade was divided in Pingdingshan typical mining area.The results show that the hierarchy process and fuzzy comprehensive evaluation method was available for forecasting the coal and gas outburst intensity.
Keywords:coal and gas outburst  outburst forecast  analytic hierarchy process  fuzzy comprehensive evaluation
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