Learning fuzzy inference systems using an adaptive membership function scheme

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 26, Issue 2, 1996, Pages 326-331

  Lotfi, A ^a   Tsoi, A C ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE MEMBERSHIP FUNCTION; FUZZY INFERENCE SYSTEMS; NONLINEAR FUNCTION APPROXIMATION; NONLINEAR INPUT OUTPUT MAPPING; PARAMETER ADJUSTMENT PROCEDURE;

ADAPTIVE SYSTEMS; APPROXIMATION THEORY; DECISION THEORY; ERROR ANALYSIS; FUZZY SETS; INFERENCE ENGINES; MEMBERSHIP FUNCTIONS; NONLINEAR CONTROL SYSTEMS;

LEARNING SYSTEMS;

EID: 0030126380     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.485884     Document Type: Article

References (14)

1. J. A. Bernard, "Use of a rule-based system for process control," IEEE Control Systems Mag., pp. 3-12, Oct. 1988.
2. J. S. R. Jang, "Self-learning fuzzy controllers based on temporal back propagation," IEEE Trans. Syst., Man, Cybern., vol. 3, no. 5, pp. 714-723, Sept. 1992.
3. S.-G. Kong and B. Kosko, "Adaptive fuzzy systems for backing up a truck-and trailer," IEEE Trans. Neural Networks, vol. 3, no. 2, pp. 211-233, Mar. 1992.
4. G. Langari and M. Tomizuka, "Stability of fuzzy linguistic control systems," in Proc. of the 29th Conference on Decision and Control, Dec. 1990, pp. 2185-2190.
5. C. C. Lee, "Fuzzy logic in control systems; fuzzy logic controller part VII," IEEE Trans. Syst., Man, Cybern., vol. 20, no. 2, pp. 404-435, Mar./Apr. 1990.
6. S. Liu and S. Hu, "A method of generating control rule model and its application," Fuzzy Sets Syst., vol. 52, pp. 33-37, 1992.
7. A. Lotfi and A. C. Tsoi, "Importance of membership functions: A comparative study on different learning methods for fuzzy inference systems," in Proc. Third IEEE Int. Conf. Fuzzy Systems, Orlando, FL, June 1994, pp. 1791-1796.
8. M. Mizumoto, "Fuzzy control under various reasoning method," Inform. Sci., vol. 45, pp. 129-151, 1988.
9. D. H. Nguyen and B. Widrow, "Neural networks for self-learning control systems," IEEE Control Systems Mag., pp. 18-23, Apr. 1990.
10. P. J. Pacini and B. Kosko, "Adaptive fuzzy systems for target tracking," Intelligent Syst. Eng., pp. 3-21, July 1992.
11. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its application to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, no. 1, pp. 116-132, Jan. 1985.
12. L. X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst., Man, Cybern., vol. 22. no. 6, pp. 1414-1427, Dec. 1992.
13. S. Yasunobu and S. Miyamoto, "Automatic train operation system by predictive fuzzy control," Industrial Application of Fuzzy Control, M. Sugeno, Ed. North-Holland: B. V., Elsevier Science Publishers, 1985, pp. 1-8.
14. L. A. Zadeh, "Outline of a new approach to the analysis of complex system and decision process," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 1, pp. 28-44, Jan. 1973.