DocumentCode
1309342
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
Volume
30
Issue
1
fYear
2000
fDate
2/1/2000 12:00:00 AM
Firstpage
223
Lastpage
229
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;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/3477.826965
Filename
826965
Link To Document