• DocumentCode
    2823808
  • Title

    On the Max-quasi-Arithmetic Mean Powers of a Fuzzy Matrix

  • Author

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

  • Author_Institution
    Dept. of Ind. Manage., Vanung Univ., Taoyuan, Taiwan
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    846
  • Lastpage
    849
  • Abstract
    Since Thomason´s paper in 1977 showing that the max-min powers of a fuzzy matrix either converge or oscillate with a finite period, many different algebraic operations are employed to explore the limiting behavior of powers of a fuzzy matrix, such as max-min/max-product/max-Archimedean t-norm/max-t-norm/max-arithmetic mean operations. In this article, we consider the max-quasi-arithmetic mean powers of a fuzzy matrix which is an extensive case of the max-arithmetic mean, max-root power mean and max-convex mean. We also show that the powers of such fuzzy matrices are always convergent. Some numerical examples are provided to show the situation of convergence.
  • Keywords
    fuzzy set theory; matrix algebra; algebraic operations; fuzzy matrix; max-Archimedean t-norm operations; max-arithmetic mean operations; max-convex mean; max-min powers; max-product operations; max-quasi-arithmetic mean powers; max-root power mean; max-t-norm operations; Arithmetic; Computer industry; Conference management; Convergence of numerical methods; Energy management; Fuzzy sets; Marine vehicles; Fuzzy matix; convergence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.205
  • Filename
    5194076