• DocumentCode
    3624666
  • Title

    On Possible Constraints in Applications of Basic Defuzzification Techniques

  • Author

    Dragan Z. Saletic;Uros Popovic

  • Author_Institution
    Member, IEEE, Military-Technical Institute, Belgrade, Serbia, School of Computing, University "Union", Belgrade. phone +381-11-3539713
  • fYear
    2006
  • Firstpage
    225
  • Lastpage
    230
  • Abstract
    The purpose of this paper is to give the results of research analysis of basic defuzzification techniques and to point out to possible constraints in application of these techniques. The defuzzification process is present in a fuzzy system when an output fuzzy set should be mapped to a crisped value. Features are given which is the base for a defuzzification technique comparison. Techniques are classified into several groups. The analysis of defuzzification techniques is given, as well as their comparison on the base of given features. The results from computer experiments suggest constrained domain of applicability of defuzzification techniques. Suggestions about applicability of techniques in specified applications are given
  • Keywords
    "Fuzzy systems","Fuzzy sets","Hybrid intelligent systems","Neural networks","Expert systems","Fuzzy logic","Artificial intelligence","Uncertainty","Military computing","Automatic control"
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on
  • Print_ISBN
    1-4244-0432-0
  • Type

    conf

  • DOI
    10.1109/NEUREL.2006.341218
  • Filename
    4147206