• DocumentCode
    1476327
  • Title

    Connect Karnik-Mendel Algorithms to Root-Finding for Computing the Centroid of an Interval Type-2 Fuzzy Set

  • Author

    Xinwang Liu ; Mendel, J.M.

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
  • Volume
    19
  • Issue
    4
  • fYear
    2011
  • Firstpage
    652
  • Lastpage
    665
  • Abstract
    Based on a new continuous Karnik-Mendel (KM) algorithm expression, this paper proves that the centroid computation of an interval type-2 fuzzy set using KM algorithms is equivalent to the Newton-Raphson method in root-finding, which reveals the mechanisms in KM algorithm computation. The theoretical results of KM algorithms are re-obtained. Different from current KM algorithms, centroid computation methods that use different root-finding routines are provided. Such centroid computation methods can obtain the exact solution and are different from the current approximate methods using sampled data. Further improvements and analysis of the centroid problem using root-finding and integral computation techniques are also possible.
  • Keywords
    Newton-Raphson method; approximation theory; fuzzy logic; fuzzy set theory; integral equations; KM algorithms; Newton-Raphson method; approximate methods; centroid computation methods; continuous Karnik-Mendel algorithm expression; integral computation techniques; interval type-2 fuzzy set; root-finding; type-2 fuzzy logic system; Algorithm design and analysis; Approximation algorithms; Convergence; Equations; Frequency selective surfaces; Newton method; Uncertainty; Centroid computation; Karnik–Mendel (KM) algorithms; interval type-2 fuzzy set (IT2 FS); root-finding;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2011.2130528
  • Filename
    5735205