• DocumentCode
    2843986
  • Title

    Combined Study in Incomplete Decision Table

  • Author

    Zhang Rui

  • Author_Institution
    Comput. Center, Yangzhou Univ., Yangzhou, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Many theories used for uncertainty problems are strongly complementary to each other because they focus on different aspects. First,this study proposes a new relative reduction algorithm by combing two theories which are frequently used to process incomplete information; and then the obtained rules is optimized. It has been proved by example that the result is reliable.
  • Keywords
    decision tables; rough set theory; incomplete decision table; incomplete information processing; relative reduction algorithm; uncertainty problems; Acceleration; Data mining; Databases; Delta modulation; Explosives; Information systems; Information technology; Knowledge representation; Set theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5364962
  • Filename
    5364962
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2843986