• DocumentCode
    2905364
  • Title

    Compositions of fuzzy relations with hedges

  • Author

    Bartl, Eduard ; Belohlavek, Radim ; Vychodil, Vilem

  • Author_Institution
    Dept. Syst. Sci. & Ind. Eng., New York State Univ., Binghamton, NY
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1100
  • Lastpage
    1105
  • Abstract
    We present extensions of ordinary compositions of fuzzy relations. The extensions consist in parameterizing the ordinary compositions by means of particular unary functions on the scales of truth degrees. The approach is inspired by our previous work on formal concept analysis of data with fuzzy attributes where such parameterization of one particular type of fuzzy relational composition was used to control the number of clusters extracted from data. We present definitions and basic properties of the parameterized compositions, examples, and implications for several domains of application of fuzzy relational compositions.
  • Keywords
    fuzzy logic; fuzzy set theory; formal concept analysis; fuzzy attributes; fuzzy relations compositions; parameterized compositions; unary functions; Calculus; Computer science; Data analysis; Data mining; Fuzzy control; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Industrial engineering; Lattices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630507
  • Filename
    4630507