DocumentCode :
3730322
Title :
Double-input single-output fuzzy systems based on non-singleton fuzzifiers
Author :
Hua-feng Gu;Xue-hai Yuan
Author_Institution :
School of Control Science and Engineering, Dalian University of Technology, 116024, China
fYear :
2015
Firstpage :
44
Lastpage :
49
Abstract :
It is acknowledged that if we select singleton fuzzifiers and normal fuzzy implications to construct fuzzy systems, the constructed systems would not be universal approximators. In this paper, by using non-singleton fuzzifiers, four kinds of double-input single-output (DISO) fuzzy system based on normal fuzzy implications are constructed. And it has been proved that all of the resulting systems have the property of universal approximation. Besides, the simulation results also illustrate the effective of conclusion. This study indicates that non-singleton fuzzifiers will play an important role when we construct fuzzy systems.
Keywords :
"Fuzzy systems","Approximation error","Yttrium","Fuzzy logic","Input variables","Simulation","Manganese"
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
Type :
conf
DOI :
10.1109/FSKD.2015.7381912
Filename :
7381912
Link To Document :
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