邢永强, 郑钊, 宋锋, 薛良伟, 王卫. 矿山地质环境多级模糊识别模型评价方法研究——以小秦岭矿区为例[J]. 信阳师范学院学报(自然科学版), 2008, 21(2): 240-242.
引用本文: 邢永强, 郑钊, 宋锋, 薛良伟, 王卫. 矿山地质环境多级模糊识别模型评价方法研究——以小秦岭矿区为例[J]. 信阳师范学院学报(自然科学版), 2008, 21(2): 240-242.
XING Yong-qiang1, ZHENG Zhao, XUE Liang-wei1, WANG Wei. Research of Multl-classification Fuzzy Pattern Recogntion Model in Mine Geoiogical Quality Evaluatio[J]. Journal of Xinyang Normal University (Natural Science Edition), 2008, 21(2): 240-242.
Citation: XING Yong-qiang1, ZHENG Zhao, XUE Liang-wei1, WANG Wei. Research of Multl-classification Fuzzy Pattern Recogntion Model in Mine Geoiogical Quality Evaluatio[J]. Journal of Xinyang Normal University (Natural Science Edition), 2008, 21(2): 240-242.

矿山地质环境多级模糊识别模型评价方法研究——以小秦岭矿区为例

Research of Multl-classification Fuzzy Pattern Recogntion Model in Mine Geoiogical Quality Evaluatio

  • 摘要: 应用多级模糊识别模型进行矿山地质环境评价,克服最大隶属度原则所不适用的地方,而且以相对隶属度、隶属函数为基础,使隶属度、隶属函数的计算更加容易.建立了矿山地质环境评价模型,并应用于小秦岭矿区地质环境质量综合评价中,评价结果显示,该方法对矿山地质环境评价可行、可靠.

     

    Abstract: Based on the relative membership degree and function,the model of multiclassification fuzzy pattern recognition is applied in assessment of mine geoenvironment quality,which counteracts the defects of maximum membership degree law and makes it easier to calculate the relative membership degree and function.The assessment model of geoenvironment quality was established and used to assess the mine geoenvironment quality of Xiaoqinling field.The results indicates that the method is feasible and reliable.

     

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