• DocumentCode
    553041
  • Title

    Fuzzy granulation of interval numbers

  • Author

    Mingxin Zhang ; Keqiang Dong ; Fusheng Yu

  • Author_Institution
    Lab. of Math. & Complex Syst., Beijing Normal Univ., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    372
  • Lastpage
    376
  • Abstract
    Investigation on fuzzy granulation method for interval numbers is of great importance. This paper aims to propose some methods of granulating interval numbers. Although there exit a few methods, some of them still have imperfections in granulating process or granulation results. In this paper, after re-examining and improving these exiting methods, we propose a new granulation method based on total order of interval numbers. Experiments and comparisons are given based on the constructing data and the real-life data. The granulation results show that the methods proposed in this paper are applicable.
  • Keywords
    fuzzy set theory; granular computing; fuzzy granulation; interval numbers; Cognition; Educational institutions; Fuzzy sets; Fuzzy systems; Indexes; Kernel; Time series analysis; fuzzy granulation; interval number; interval refinement; total order;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019540
  • Filename
    6019540