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
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;
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
DOI :
10.1109/ICMLC.2008.4620479
