• DocumentCode
    2817208
  • Title

    Two operators in rough set theory

  • Author

    Kong, Zhi ; Gao, Liqun ; Wang, Lifu ; Li, Yang

  • Author_Institution
    Northeastern Univ., Shenyang
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    2148
  • Lastpage
    2152
  • Abstract
    In order to understand the essence of certain increment operator and the uncertain decrement operator, we redefine these two operators. Furthermore, the certain increment operator and the uncertain decrement operator are developed by introducing multiple sets, and some properties based on the two multiple sets operators are analyzed. Meanwhile, two equalities well known in the rough set theory can also be extended. Moreover we measured the approximation classification accuracy, classification quality, and discussed the relation between the classification accuracy of X on U and X on Si in dual vertically partitioned data base. Finally, examples are provided to understand the significance of two multiple sets operators.
  • Keywords
    approximation theory; rough set theory; approximation classification; certain increment operator; rough set theory; uncertain decrement operator; Artificial intelligence; Context modeling; Data mining; Information science; Knowledge acquisition; Machine learning; Pattern recognition; Rough sets; Set theory; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434180
  • Filename
    4434180