• DocumentCode
    3643357
  • Title

    On spline methods of approximation under L-fuzzy information

  • Author

    Svetlana Asmuss;Alexander Šostak

  • Author_Institution
    University of Latvia, Department of Mathematics, Institute of Mathematics and Computer Science, Riga, Latvia
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    1610
  • Lastpage
    1614
  • Abstract
    This work is closely related to our previous papers on algorithms of approximation under L-fuzzy information. In the classical theory of approximation central algorithms were worked out on the basis of usual, that is crisp splines. We describe central methods for solution of linear problems with balanced L-fuzzy information and develop the concept of L-fuzzy splines.
  • Keywords
    "Spline","Approximation algorithms","Interpolation","Fuzzy sets","Smoothing methods"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007608
  • Filename
    6007608