• DocumentCode
    2248522
  • Title

    An interval type-2 fuzzy C spherical shells algorithm

  • Author

    Hwang, Cheul ; Rhee, Frank Chung-Hoon

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Ansan, South Korea
  • Volume
    2
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    1117
  • Abstract
    This paper presents an interval type-2 fuzzy C-spherical shells (FCSS) algorithm that is an extension of the type-1 FCSS algorithm proposed in. In our proposed method, the membership values for each pattern vector are extended as interval type-2 fuzzy memberships by assigning uncertainty to the type-1 memberships. By doing so, the cluster boundary obtained by the interval type-2 FCSS can be found to be more desirable than that of type-1 FCSS in the presence of noise. Experimental results are given to show the effectiveness of our method.
  • Keywords
    fuzzy set theory; pattern clustering; cluster boundary; interval type-1 fuzzy C-spherical shells algorithm; interval type-1 fuzzy memberships; interval type-2 fuzzy C-spherical shells algorithm; interval type-2 fuzzy memberships; pattern vector; Clustering algorithms; Clustering methods; Computer vision; Fuzzy sets; Fuzzy systems; Laboratories; Machine vision; Noise shaping; Prototypes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-8353-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2004.1375568
  • Filename
    1375568