• DocumentCode
    3152378
  • Title

    Fuzzy rule base extraction by the improved Bacterial Memetic Algorithm

  • Author

    Gál, László ; Botzheim, János ; Kóczy, László T. ; Ruano, Antonio E.

  • Author_Institution
    Inst. of Inf. Technol. & Electr. Eng., Szechenyi Istvan Univ., Gyor
  • fYear
    2008
  • fDate
    21-22 Jan. 2008
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    In this paper we introduce new methods for handling knot order violation occurred in the bacterial memetic algorithm (BMA) used for fuzzy rule base extraction. These methods perform slightly better than the method used before and are easier to integrate with the bacterial memetic algorithm.
  • Keywords
    fuzzy reasoning; fuzzy set theory; genetic algorithms; bacterial memetic algorithm; evolutionary algorithm; fuzzy rule base extraction; fuzzy set theory; genetic algorithm; Biological cells; Cloning; Data mining; Evolutionary computation; Fuzzy systems; Genetic algorithms; Genetic mutations; Informatics; Information technology; Microorganisms; Bacterial Memetic Algorithm; Levenberg-Marquardt method; fuzzy rule base; knot order violation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics, 2008. SAMI 2008. 6th International Symposium on
  • Conference_Location
    Herlany
  • Print_ISBN
    978-1-4244-2105-3
  • Electronic_ISBN
    978-1-4244-2106-0
  • Type

    conf

  • DOI
    10.1109/SAMI.2008.4469132
  • Filename
    4469132
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3152378