• DocumentCode
    2085132
  • Title

    Simplifying rough set-based if-then rules with remarkable degree

  • Author

    Guo, Peijun

  • Author_Institution
    Fac. of Bus. Adm., Yokohama Nat. Univ., Yokohama, Japan
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    953
  • Lastpage
    956
  • Abstract
    In this paper, the method for simplifying if-then rules obtained from decision table by rough sets-based method is proposed based on the concepts of interior competition factor, exterior competition factor and remarkable degree. Using the proposed method, the main features of Japanese industries are analyzed. The analysis results show that the proposed method is very efficient for classification problems with many attributes and the large number of data.
  • Keywords
    decision tables; pattern classification; rough set theory; Japanese industries; classification problems; decision table; exterior competition factor; interior competition factor; remarkable degree; rough set-based if-then rules; Information analysis; Information systems; Intelligent systems; Knowledge acquisition; Knowledge engineering; Possibility theory; Rough sets; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4731066
  • Filename
    4731066