DocumentCode
475972
Title
Using data to design fuzzy system based on Quantum-behaved Particle Swarm Optimization
Author
Tang, Lei ; Xue, Fu-zhen
Author_Institution
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei
Volume
1
fYear
2008
fDate
12-15 July 2008
Firstpage
624
Lastpage
628
Abstract
The design of fuzzy system is always a difficult problem. A quantum-behaved particle swarm optimization based method is proposed to design components of fuzzy system using given data. It can evolve both the fuzzy rules and the membership functions. In a real problem, it can obtain a near-optimal fuzzy system using given data. The proposed method is tested with promising results.
Keywords
fuzzy systems; particle swarm optimisation; QPSO; fuzzy rules; membership functions; near-optimal fuzzy system; quantum-behaved particle swarm optimization; Control systems; Cybernetics; Design automation; Evolutionary computation; Fuzzy logic; Fuzzy sets; Fuzzy systems; Machine learning; Particle swarm optimization; Testing; Fuzzy Rule; Fuzzy System; Membership Function; Quantum-behaved Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620479
Filename
4620479
Link To Document