• DocumentCode
    3508840
  • Title

    An Attribute Reduction Method Based on Fuzzy-Rough Sets Theories

  • Author

    Guohua, Hu ; Yuemei, Shi

  • Author_Institution
    Dept. of Comput., Xinzhou Teachers Univ., Xinzhou
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    828
  • Lastpage
    831
  • Abstract
    Due to the explosive growth of electronically stored information, automatic methods must be developed to aid users in maintaining and using this abundance of information effectively.This paper presents a novel approach,based on an integrated use of fuzzy and rough set theories,to greatly reduce data redundancy. Experimental results show that fuzzy-rough reduction is more powerful than the conventional rough set-based approach.
  • Keywords
    data reduction; fuzzy set theory; rough set theory; attribute reduction method; data redundancy reduction; fuzzy-rough sets theories; Computer science; Computer science education; Educational technology; Explosives; Fuzzy sets; Paper technology; Set theory; Uncertainty; Attribute Reduction; Fuzzy-Rough Sets; RSAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.721
  • Filename
    4959437
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3508840