• DocumentCode
    3124300
  • Title

    Double-linear fuzzy interpolation method

  • Author

    Detyniecki, Marcin ; Marsala, Christophe ; Rifqi, Maria

  • Author_Institution
    LIP6, UPMC Univ. Paris 06, Paris, France
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    455
  • Lastpage
    462
  • Abstract
    In this paper, we present an original fuzzy interpolation method. In contrast to existing approaches, our method is able to always construct an interpolated fuzzy interval without a need of a special step dedicated to the "standardization" of non viable solutions, which fractures the sense of the interpolation. In fact, these "standardization" steps imply that, for instance, a point obtained from the interpolation of the upper limit (right side) of the fuzzy sets, is used to build the lower limit (left side) of the interpolated conclusion, breaking the underlying hypothesis of (linear) graduality. To achieve the direct interpolation, our method is based on the deviation of the observation from the expected linearly interpolated solution and constrains of the constructed solution between extreme cases. We illustrate and discuss the behavior of our method by comparison to other well known fuzzy interpolation methods.
  • Keywords
    fuzzy logic; fuzzy set theory; interpolation; double-linear fuzzy interpolation method; fuzzy interval; fuzzy sets; Equations; Fuzzy sets; Interpolation; Kernel; Mathematical model; Shape; Uncertainty; Fuzzy Interpolation; approximate reasoning; sparse rule base;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007693
  • Filename
    6007693