• DocumentCode
    3167958
  • Title

    Research on attribute reduction algorithm based on Rough Set Theory and genetic algorithms

  • Author

    Xu, Xiu-Zhen ; Niu, Yi-Feng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    524
  • Lastpage
    527
  • Abstract
    Rough Set Theory is used to make uncertainty description of the real world, and attribute reduction is one of the core theories of Rough Set Theory. This article elaborates on the rough set theory, studies attribute reduction algorithm combined with the genetic algorithm, and finally demonstrate the feasibility and effectiveness by using the ROSETTA software.
  • Keywords
    genetic algorithms; rough set theory; ROSETTA software; attribute reduction algorithm; genetic algorithm; rough set theory; Algorithm design and analysis; Decision making; Genetic algorithms; Indexes; Set theory; Software; Software algorithms; ROSETTA; attribute reduction algorithm; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010295
  • Filename
    6010295
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3167958