• DocumentCode
    2903811
  • Title

    Convergence of powers of a max-convex mean fuzzy matrix

  • Author

    Lur, Yung-Yih ; Wu, Yan-Kuen ; Guu, Sy-Ming

  • Author_Institution
    Dept. of Ind. Manage., Vanung Univ., Chungli
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    562
  • Lastpage
    566
  • Abstract
    Fuzzy matrices provide convenient representations for fuzzy relations on finite universes. In the literature, the behavior of powers of a fuzzy matrix with max-min/max-product/max-Archimedean t-norm/max-t-norm compositions have been studied. Conventionally, the algebraic operations involved in the study of powers of a fuzzy matrix usually belong to the max-t-norms. Recently the powers of a max-arithmetic mean fuzzy matrix have been studied. Typically, the max-arithmetic mean operation is not a max-t-norm. Since the max-arithmetic mean is a special example of the max-convex mean operations, we shall extend the study to powers of a max-convex mean fuzzy matrix in this paper.We show that its powers are always convergent.
  • Keywords
    convergence; fuzzy set theory; matrix algebra; finite universes; fuzzy relations; max-arithmetic mean fuzzy matrix; max-convex mean fuzzy matrix; powers convergence; t-norm/max-t-norm compositions; Arithmetic; Business communication; Convergence; Fuzzy 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.2008.4630424
  • Filename
    4630424