• DocumentCode
    1631628
  • Title

    Application of interval type-2 fuzzy logic for estimating module relevance in Sugeno integration of modular neural networks

  • Author

    Mendoza, Olivia ; Melin, Patricia ; Castillo, Oscar

  • Author_Institution
    Sch. of Enginnering of UABC, Univ. of Tijuana, Tijuana, Mexico
  • fYear
    2009
  • Firstpage
    2120
  • Lastpage
    2125
  • Abstract
    In this work we describe a fuzzy inference system to determine the relevance of each module in modular neural networks for images recognition. The tests were made with Type 1 and Interval type-2 fuzzy inference system, to compare the performance. In both cases the fusion operator for the modules is the Sugeno integral, and the parameters to estimate are the fuzzy densities.
  • Keywords
    fuzzy logic; image recognition; neural nets; Sugeno integration; image recognition; interval type-2 fuzzy logic; modular neural networks; module relevance estimation; type-2 fuzzy inference system; Decision making; Feedforward neural networks; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Image databases; Image edge detection; Image recognition; Neural networks; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277419
  • Filename
    5277419
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1631628