• DocumentCode
    527596
  • Title

    Application of fuzzy excessive criterion model to determine source of inrush water in Xieqiao mine

  • Author

    Qian, Jiazhong ; Zhang, Chunlei ; Fang, Liangcheng ; Gao, Zhiqiang ; Wang, Lulu

  • Author_Institution
    Sch. of Resources & Environ. Eng., Heifei Univ. of Technol., Hefei, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    159
  • Lastpage
    162
  • Abstract
    The conventional six ions screening the characteristics of groundwater are selected, the fuzzy comprehension evaluation model is applied, and the excessive criterion weight method is employed to build groundwater inrush water discrimination model in coalmine. Take Xieqiao mine in Huainan for example, the results of fuzzy comprehension evaluation mode are compared with those of the gray correlation model and neural network model. Results show that the fuzzy excessive criterion model could determine the source of inrush water and the accuracy is superior to those of Gray correlation model and neural network model. The Fuzzy excessive criterion model is of simple calculation process and stable structure. By this method the source of inrush water can be realized quickly and efficiently determine. This method is of further application values for inrush water determination in coalmine.
  • Keywords
    coal; fuzzy set theory; mining; neural nets; Xieqiao Mine; coalmine; fuzzy comprehension evaluation; fuzzy excessive criterion model; gray correlation model; groundwater; inrush water; neural network model; Area measurement; Artificial neural networks; Data models; Mathematical model; Predictive models; Surges; Water resources; Fuzzy excessive criterion model; coal mine; determination; source of inrush water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583309
  • Filename
    5583309