• DocumentCode
    3621899
  • Title

    On Data-driven Procedure for Determining the Number of Rules in a Takagi-Sugeno Fuzzy Model

  • Author

    D.Z. Saletic

  • Author_Institution
    Member. IEEE, Military-Technical Institute, Ratka Resanovica str. 1, Zarkovo, Belgrade, Serbia &
  • Volume
    2
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    1132
  • Lastpage
    1135
  • Abstract
    The data driven procedure for determining the optimal number of expert rules in a fuzzy knowledge base of Takagi-Sugeno type is considered. The procedure is based on the Klawonn-Kruse clustering of numerical samples - a training set of the unknown function to be approximated using Takagi-Sugeno fuzzy model
  • Keywords
    "Takagi-Sugeno model","Fuzzy sets","Fuzzy systems","Hybrid intelligent systems","Nonlinear systems","Data mining","Knowledge based systems","Artificial intelligence","Proposals","Nonlinear equations"
  • Publisher
    ieee
  • Conference_Titel
    Computer as a Tool, 2005. EUROCON 2005.The International Conference on
  • Print_ISBN
    1-4244-0049-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2005.1630151
  • Filename
    1630151
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3621899