• DocumentCode
    3178372
  • Title

    Decision-making system on basis of web page for coal-mine

  • Author

    Wan Jianfeng ; Liu Junli ; Bi Wenyan ; Li Tongzhuo

  • Author_Institution
    Sch. of Mech. & Power Eng., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    4986
  • Lastpage
    4988
  • Abstract
    In order to reduce the roof accidents, extend and communicate a great deal of valuable experience and technology in the field of coal mines and roadway supporting, this paper presents the research and development of a information platform, which includes mainly the decision-making of roadway supporting. After comparing the advantages and the disadvantages of three inference modes, case-based reasoning can be taken as the main decision-making method, according to the feature of the relations between roadway supporting and correlative factors. In fact, these factors cannot be expressed by a theoretical model at all. In the process of implementation, the standard of the degree of similarity (namely knowledge) is formed by the method of weighting fuzzy logic. The inference engine requests database by loading the standard of the degree of similarity (this is the process of inference), and returns final conclusions. The relative decision-making interpretations are shown through the interpreter.
  • Keywords
    Web sites; accidents; case-based reasoning; coal; decision making; mining; roofs; Web page; case-based reasoning; coal mine; correlative factors; decision making system; inference engine; information platform; roadway supporting; roof accidents; valuable experience; weighting fuzzy logic; Accidents; Coal; Coal mining; Cognition; Decision making; Fuzzy logic; Knowledge based systems; Application Decision-Making; database application technology; roadway supporting;
  • 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.2011.6010826
  • Filename
    6010826