Title :
Defuzzification techniques for fuzzy controllers
Author :
Saade, Jean J. ; Diab, Hassan B.
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
fDate :
2/1/2000 12:00:00 AM
Abstract :
Based on the features and disadvantages of the commonly used defuzzification techniques and on the elements involved in the structure of a fuzzy controller, a new and advantageous defuzzification technique is introduced and justified. This is done by integrating the defuzzification problem into the global structure of fuzzy controllers. Another related defuzzification strategy, which has been introduced elsewhere by the principle author of this study, is also given and commented upon. Further, case studies are considered and comparative conclusions are drawn
Keywords :
controllers; fuzzy control; inference mechanisms; defuzzification; fuzzy controllers; inference rules; logic operations; membership functions; performance; Approximation algorithms; Function approximation; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Robustness; Signal processing algorithms;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.826965