• DocumentCode
    3299430
  • Title

    Updating the Dynamic Fuzzy Sets Based on Immune Evolutionary

  • Author

    Peng, Tao ; Jiang, Minghua ; Hu, Ming

  • Author_Institution
    Coll. of Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    370
  • Lastpage
    373
  • Abstract
    Fuzzy clustering plays a very important role in clustering analyze and the fuzzy set is the base of the fuzzy clustering. Dynamic fuzzy set can be changed with the environment; in a real process task; the dynamic fuzzy set should be updated, which make the fuzzy set fit the environment well. In this paper, we apply the immune evolutionary into the update of the dynamic fuzzy set; the fitness degree is used as the criteria of update, with the experiment, the schema worked well.
  • Keywords
    evolutionary computation; fuzzy set theory; pattern clustering; dynamic fuzzy sets; fitness degree; fuzzy clustering; immune evolutionary; Cognition; Computer science; Conference management; Educational institutions; Engineering management; Fuzzy control; Fuzzy logic; Fuzzy sets; Humans; Immune system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3729-0
  • Type

    conf

  • DOI
    10.1109/SSME.2009.142
  • Filename
    5233271