• DocumentCode
    3647945
  • Title

    Fuzzy sets and semiotics

  • Author

    I. Burhan Turksen

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada
  • Volume
    1
  • fYear
    1997
  • Firstpage
    481
  • Abstract
    There are correspondences between Zadeh´s fuzzy theory and Peirce´s logic of vagueness (1992). For example, Peirce discusses "determinate" and "indeterminate" symbols in terms of depth and breadth of such symbols. These can now be further explained in terms of fuzzy set and logic theories. For this purpose, we identify three basic classes of set and logic theories. Furthermore we indicate that classical laws and tautologies do not hold in the absolute sense as they do in the classical theory but they hold as a matter of degree in fuzzy theories.
  • Keywords
    "Fuzzy sets","Fuzzy logic","Pattern recognition","Natural languages","Production systems","Humans","Industrial engineering","Set theory","Information processing"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.625797
  • Filename
    625797