• DocumentCode
    226503
  • Title

    A fuzzy directional distance measure

  • Author

    McCulloch, J.C. ; Hinde, C.J. ; Wagner, Christoph ; Aickelin, Uwe

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    141
  • Lastpage
    148
  • Abstract
    The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory, however, distance measures currently within the literature use a crisp value to represent the distance between fuzzy sets. A real valued distance measure is developed into a fuzzy distance measure which better reflects the uncertainty inherent in fuzzy sets and a fuzzy directional distance measure is presented, which accounts for the direction of change between fuzzy sets. A multiplicative version is explored as a full maximal assignment is computationally intractable so an intermediate solution is offered.
  • Keywords
    fuzzy set theory; fuzzy directional distance measure; fuzzy set theory; Computer science; Frequency selective surfaces; Fuzzy sets; Gold; Measurement uncertainty; Semantics; Uncertainty;
  • 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.2014.6891575
  • Filename
    6891575