• DocumentCode
    3664044
  • Title

    A note on fuzzy-transform approximation of fuzzy numbers

  • Author

    Lucian Coroianu;Luciano Stefanini

  • Author_Institution
    Department of Mathematics and Computer Science, University of Oradea, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A possibilistic representation of fuzzy numbers/intervals can be obtained in terms of a fuzzy distribution function (the average of the possibility and necessity functions). The fuzzy distribution function is monotonic non decreasing upper-semicontinuous and there exists a simple one-to-one correspondence between the space of such functions and the space of fuzzy numbers, i.e., with normal, upper semicontinuous quasi concave membership function. As a consequence, the monotonic F-transform approximation of the fuzzy distribution function produces an approximation of any fuzzy number. Properties and examples are given.
  • Keywords
    "Distribution functions","Radio frequency","Cognition","Estimation","Convergence","Chebyshev approximation"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
  • Type

    conf

  • DOI
    10.1109/NAFIPS-WConSC.2015.7284184
  • Filename
    7284184