• DocumentCode
    2622649
  • Title

    On a class of linear concurrence operators

  • Author

    Yager, Ronald K. ; Rybalov, Alexander

  • Author_Institution
    Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
  • fYear
    1997
  • fDate
    21-24 Sep 1997
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    Mean operators are often used to find a representative value for a collection of data. A new class of operators, in the same spirit as mean operators, called concurrence operators are then introduced which replace the idempotency condition by the stronger conditions of natural boundedness and self identity and removes the requirement of commutativity. A class of linear concurrence operators are then considered. The condition of self identity is shown to impose a strong requirement on the relationship between these operators for different cardinalities of arguments. This requirement allows us to define in a consistent manner noncommutative concurrence operators. A number of special cases are then considered
  • Keywords
    data analysis; data handling; fuzzy set theory; commutativity; idempotency condition; linear concurrence operators; mean operators; natural boundedness; noncommutative concurrence operators; numerical data aggregation; self identity; Commutation; Educational institutions; Indexing; Machine intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
  • Conference_Location
    Syracuse, NY
  • Print_ISBN
    0-7803-4078-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1997.624071
  • Filename
    624071