• DocumentCode
    2108820
  • Title

    Application of Rough Sets in Evaluating System Safety Behavior

  • Author

    Zhiming Qu

  • Author_Institution
    Hebei Univ. of Eng., Handan
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    1065
  • Lastpage
    1068
  • Abstract
    Safety is very important for the system which is composed of related interaction elements. Moreover, the uncertainty plays very significant role in making the system run safely. Using rough set (RS), the uncertain data is mined and much more information is illustrated in detail. In the process of evaluating the safety system behavior, the upper and lower approximations are used to define alphaB 1 (ZopfJ) by which the safe parameters are judged. RS will be applied to acquire more detailed system information. Through example results, it is concluded that the classification of system safety behavior parameters is judged well. The larger the value is, the greater the classification ability Bi of will be and the safer the system is.
  • Keywords
    data mining; pattern classification; rough set theory; data mining; evaluating system safety behavior; lower approximations; rough sets; upper approximations; Artificial intelligence; Bismuth; Civil engineering; Data analysis; Databases; Earthquakes; Information technology; Rough sets; Safety; Uncertainty; Rough set; evaluation; system safety; upper and lower approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.15
  • Filename
    4732122