• DocumentCode
    1464408
  • Title

    Enhanced Centroid-Flow Algorithm for Computing the Centroid of General Type-2 Fuzzy Sets

  • Author

    Daoyuan Zhai ; Mendel, Jerry M.

  • Author_Institution
    Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    20
  • Issue
    5
  • fYear
    2012
  • Firstpage
    939
  • Lastpage
    956
  • Abstract
    Recently, a centroid-flow (CF) algorithm has been proposed to compute the centroid of a type-2 fuzzy set Ã. This algorithm utilizes the Karnik-Mendel (KM) or the enhanced KM (EKM) algorithm only at the α = 0 α-level of Ã̃ and then lets its result “flow” upward to the α = 1 α-level of Ã. It avoids having to apply the KM/EKM algorithms at every α-level, which significantly improves its computational efficiency; however, the CF algorithm approximation errors will gradually accumulate as the algorithm “flows” upward, and in some cases, this can cause the centroid of the α = 1 α-level of à to differ from its theoretical value. This paper introduces an improved version of the CF algorithm, which is called enhanced CF algorithm, that reduces such accumulative errors by half and, therefore, greatly improves the computational accuracy.
  • Keywords
    fuzzy set theory; EKM algorithm; Karnik-Mendel algorithm; algorithm flows upward; centroid-flow algorithm; enhanced CF algorithm; enhanced KM algorithm; general type-2 fuzzy set centroid; Accuracy; Algorithm design and analysis; Approximation algorithms; Approximation error; Equations; Frequency selective surfaces; Heuristic algorithms; Centroid; Karnik–Mendel algorithms; centroid-flow (CF) algorithm; enhanced Karnik–Mendel (EKM) algorithms; enhanced centroid flow (ECF) algorithm; general type-2 fuzzy sets;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2012.2190075
  • Filename
    6165348