• DocumentCode
    477865
  • Title

    Safety Comprehensive Assessment of Tailing Reservior Based on Information Entropy and Fuzzy Mathematics

  • Author

    Si, Chundi ; Chen, Enli ; Lv, Peng

  • Author_Institution
    Shijiazhuang Railway Inst., Shijiazhuang
  • Volume
    3
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    The tailing reservoir is a large dangerous source of man-made mud-rock flow with high potential energy, and the loss caused by tailing disaster is considerably serious. Some basic theories of fuzzy mathematics are illustrated in this paper. In allusion to the present situation of tailing reservoir assessment, this method is tried to apply in safety comprehensive assessment of tailing reservoir. The safety assessment index system is established. A new method of calculating index weight is put forward: referring to entropy theory, an entropy model which can evaluate the quality of information given by evaluation specialists is established, to amend the index subjective weight given by specialists through analytic hierarchy process. The primary and comprehensive assessment is given in turn, the safety level is gained at last. A case study is given and the results shows, the method is scientific and effective.
  • Keywords
    entropy; fuzzy set theory; mining industry; analytic hierarchy process; entropy theory; fuzzy mathematics; index subjective weight; information entropy; man-made mud-rock flow; safety assessment index system; safety comprehensive assessment; tailing reservoir assessment; Accidents; Fuzzy systems; Hazards; Information analysis; Information entropy; Mathematics; Radiation safety; Rail transportation; Railway safety; Reservoirs; Fuzzy mathematics; Information entropy; Safety comprehensive assessment; Tailing reservoir;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.412
  • Filename
    4666281