• DocumentCode
    3179041
  • Title

    An expert system for coal roof management information system design and research

  • Author

    Sun, Qing ; Jia, Ruisheng ; Zhao, Tongbin

  • Author_Institution
    Dongfang Coll., Shandong Univ. of Finance, Taian, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    963
  • Lastpage
    966
  • Abstract
    In order to solve the coal roof stress analysis and prediction with multiple data information, an expert system is used in this paper. By introducing coal roof stress information forecasting model and expert system model, the MIS can rationally make individual data analysis to multiple data comprehensive analysis, and the coal roof management information system is designed. Experimental analysis shows that the confidence level higher prediction results will be used as the ultimate basis in decision-making if comprehensive objective analysis of data is used for many monitoring data analysis in expert system. The expert-system-based coal roof management information system can effectively solve the shortage of single monitoring data and thus the accurate predict problems of the coal roof stress monitoring data are solved.
  • Keywords
    coal; data analysis; decision making; expert systems; forecasting theory; management information systems; stress analysis; coal roof management information system design; coal roof stress information forecasting model; coal roof stress monitoring data; confidence level higher prediction; data monitoring; decision making; expert system; individual data analysis; multiple data comprehensive analysis; multiple data information; Coal; Data mining; Expert systems; Management information systems; Mathematical model; Monitoring; Predictive models; coal roof pressure data; expert system; management information system; prediction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010859
  • Filename
    6010859