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
Link To Document :
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