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AHP法在确定地表变形因素权重中的应用

Determination of weight of factors in surface subsidence by matter element analysis

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【作者】 夏小刚

【Author】 XIA Xiao-gang1,2(1.Dept.of Basic Courses,Xi’an University of Sciencev and Technology,Xi’an 710054,China;2.Key Laboratory of Western Mine Exploitation and Hazard Prevention of the Ministry of Education,Xi’an University of Science and Technology,Xi’an 710054,China)

【机构】 西安科技大学基础课部 陕西西安710054西安科技大学教育部西部矿井开采及灾害防治重点实验室陕西西安710054

【摘要】 地表沉陷变形是一个复杂的力学过程,影响地表沉陷变形的因素集是一个由相互关联相互制约的众多因素构成的复杂系统。准确地预测各因素对地表沉陷变形的影响情况对矿产资源开采研究、采动灾害的控制、矿山生态环境的改善等具有重要的意义。层次分析法最终为综合评价地表沉陷变形以及地表沉陷变形的预测提供了科学依据。文中在分析层次分析法确定指标权重不足的基础上,结合物元分析理论,将专家作为样本,以各专家判断矩阵得出的权重构造的复合物元作为因子,通过物元分析得出各专家效度,从而建立了确定影响地表沉陷变形各因素权重的物元分析模型。该方法充分考虑各专家对不同事物的认识程度,修正了层次分析法确定权重地片面性,使指标体系能全面客观地反映被评价对象。

【Abstract】 The surface subsidence deformation caused by underground mining is a complicated mechanics process.The factor set that influences the surface subsidence deformation is a mutually affiliation and restriction complex system.The accurate prediction of influencing instance of each factor to surface subsidence deformation not only for the research of mineral resources exploitation,but also for the mining disasters control and the ecological environment of the mining area improving have important significance.The analytic hierarchy process provides scientific basis for comprehensive evaluation and prediction of the surface subsidence deformation.Based on analyzing the fit and unfit of the analysis analytic hierarchy process,looks on experts as samples and makes the complex matter elements conformed by expert judgment matrix as factors;the expert validity is derived from matter element analysis.The matter element analysis model in determining weight of factors of surface deformation is established through matter element analysis.The method fully considers expert’s different acquaintance to each things,amends the lopsided in determining weight by the analytic hierarchy process,and makes the index set of system objectively and comprehensively assess the object.

【基金】 国家自然科学基金资助项目(50574074)
  • 【文献出处】 西安科技大学学报 ,Journal of Xi’an University of Science and Technology , 编辑部邮箱 ,2008年02期
  • 【分类号】TD325
  • 【被引频次】10
  • 【下载频次】146
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