• DocumentCode
    3416496
  • Title

    Rule generating based on relative Discernibility Matrix

  • Author

    Li, Min

  • Author_Institution
    NanChang Inst. of Technol., Nanchang, China
  • fYear
    2012
  • fDate
    24-26 Aug. 2012
  • Firstpage
    676
  • Lastpage
    679
  • Abstract
    The concept of relative decision is put forward and the method for finding absolute reduction decision rule through combining rules of relative decisional condition sets is given in this paper. In the process of decision table reduction, the relative Discernibility Matrix between decision categories should be created in order to decide the relative decision conditions which are conjoined to find the decision conditions of all the decision classes. The relative decision conditions are extracted by creating relative Discernibility Matrix, so that scales of computing can be cut down substantially and saving storage space. The availability of this method is proved by a fault diagnosis example of reciprocating machines.
  • Keywords
    matrix algebra; rough set theory; absolute reduction decision rule; decision categories; fault diagnosis; reciprocating machines; relative decisional condition; relative discernibility matrix; rough set theory; storage space; Classification; Fault diagnosis; Relative Decision Rule; Relative Discernibility Matrix; Rough Set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Processing (CSIP), 2012 International Conference on
  • Conference_Location
    Xi´an, Shaanxi
  • Print_ISBN
    978-1-4673-1410-7
  • Type

    conf

  • DOI
    10.1109/CSIP.2012.6308944
  • Filename
    6308944