• DocumentCode
    3101326
  • Title

    A Method of the Rule Acquisition Based on Rough Set

  • Author

    Yao, Guangshun ; Lv, Xiujiang ; Wang, Ning ; Zhao, Yan

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Changchun Univ. of Technol., Changchun
  • fYear
    2006
  • fDate
    Nov. 28 2006-Dec. 1 2006
  • Firstpage
    243
  • Lastpage
    243
  • Abstract
    Rough sets is a mathematical approach to deal with vague, uncertain and imperfect data and it has many advantages over neural network. The basic concept and operation rule of rough set is presented in this paper. As an example to show the advantages, definitive rules about rectifying column are gotten from original data through rough set theory.
  • Keywords
    rough set theory; neural network; rough set theory; rule acquisition method; Computational intelligence; Computer networks; Electrical equipment industry; Industrial control; Information systems; Knowledge representation; Neural networks; Process control; Rough sets; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7695-2731-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2006.13
  • Filename
    4052853