• DocumentCode
    226448
  • Title

    Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees

  • Author

    Kosheleva, Olga ; Kreinovich, Vladik

  • Author_Institution
    Univ. of Texas at El Paso, El Paso, TX, USA
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1475
  • Lastpage
    1479
  • Abstract
    In the traditional fuzzy logic, the experts´ degrees of confidence in their statements is described by numbers from the interval [0,1]. These degree have a clear intuitive meaning. Somewhat surprisingly, in some applications, it turns out to be useful to also consider different numerical degrees - e.g., complex-valued degrees. While these complex-valued degrees are helpful in solving practical problems, their intuitive meaning is not clear. In this paper, we provide a possible explanation for the success of complex-valued degrees which makes their use more intuitively understandable - namely, we show that these degrees naturally appear due to the approximate nature of the traditional fuzzy methodology.
  • Keywords
    fuzzy set theory; complex-valued fuzzy degrees; confidence degree; fuzzy logic; fuzzy methodology; numerical degrees; Computers; Equations; Fuzzy logic; Fuzzy sets; Least squares approximations; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891549
  • Filename
    6891549