• DocumentCode
    2547579
  • Title

    Fuzzy logic systems: A classification based on capabilities in handling uncertainty

  • Author

    Uddin, Md Safi ; Sekercioglu, Y. Ahmet ; Mani, Nallasamy

  • Author_Institution
    Monash Univ., Melbourne
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    807
  • Lastpage
    811
  • Abstract
    In this paper we present a classification of fuzzy logic systems. We show how the fuzzy logic systems can be divided into different categories depending on their capabilities in handling uncertainties in input data and in rule base representations. We also summarize the strength and weakness of different types of fuzzy logic systems.
  • Keywords
    data handling; fuzzy logic; knowledge based systems; fuzzy logic systems; handling uncertainty; rule base representations; Australia; Engines; Fuzzy logic; Fuzzy sets; Nonlinear systems; Shape; Training data; Uncertainty; Working environment noise; Fuzzy logic systems; type-1 fuzzy logic system; type-2 fuzzy logic system; uncertainty representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4414059
  • Filename
    4414059
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2547579