• DocumentCode
    3315301
  • Title

    Ensembles of Fuzzy Classifiers

  • Author

    Canul-Reich, Juana ; Shoemaker, Larry ; Hall, Lawrence O.

  • Author_Institution
    South Florida Univ., Tampa
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (adaptive neuro-fuzzy inference systems). We compare results from bagging to those of a single classifier using both crisp and fuzzy classifier combination methods. Results on 20 data sets show that bagging results in a significantly more accurate classifier.
  • Keywords
    adaptive systems; fuzzy reasoning; learning (artificial intelligence); neural nets; adaptive neuro-fuzzy inference systems; bagging; fuzzy classifiers; learning algorithm; Adaptive systems; Bagging; Classification tree analysis; Computer science; Fuzzy logic; Fuzzy sets; Inference algorithms; Iris; Mathematical model; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
  • Conference_Location
    London
  • ISSN
    1098-7584
  • Print_ISBN
    1-4244-1209-9
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2007.4295345
  • Filename
    4295345
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3315301