• DocumentCode
    2904733
  • Title

    Extracting association rules based on intuitionistic fuzzy special sets

  • Author

    Pei, Zheng

  • Author_Institution
    Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    873
  • Lastpage
    878
  • Abstract
    Intuitionistic fuzzy special sets is a special case of intuitionistic fuzzy sets. In this paper, under the framework of information systems, based on the intuitionistic fuzzy special sets representation of rough sets, Hamming distance of association rule between condition and conclusion is discussed. By Hamming distance and the confidence of association rule, optimization model for extracting association rule are provided. The advantage of the optimization model is that it could be used to dynamically extract association rule from information systems and distinguish association rules with the same confidence by Hamming distance. Example shows that this paperpsilas method is an alternative method for extracting association rule.
  • Keywords
    data mining; fuzzy set theory; optimisation; rough set theory; Hamming distance; association rules extraction; information systems; intuitionistic fuzzy special sets; optimization model; rough sets; Association rules; Data mining; Databases; Fuzzy sets; Fuzzy systems; Hamming distance; Helium; Humans; Information systems; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630473
  • Filename
    4630473