Linguistic information feedforward-based dynamical fuzzy systems

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 36, Issue 4, 2006, Pages 453-463

  Gao, Xiao Zhi ^a   Ovaska, Seppo J ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Feedforward systems; fuzzy systems; linguistic information; time series

Indexed keywords

EID: 85008015705     PISSN: 10946977     EISSN: 15582442     Source Type: Journal    
DOI: 10.1109/TSMCC.2006.875420     Document Type: Article

References (18)

1. W. Pedrycz, “Fuzzy sets in pattern recognition: Methodology and methods,” Pattern Recognit., vol. 23, no. 1, pp. 121–146, 1990.
2. C. C. Lee, “Fuzzy logic in control systems: Fuzzy logic controller, Parts I and II,” IEEE Trans. Syst., Man, Cybern., vol. 20, no. 2, pp. 404-435, Apr. 1990.
3. W. A. Kwong, K. M. Passino, E. G. Laukonen, and S. Yurkovich, “Expert supervision of fuzzy learning systems for fault tolerant aircraft control,” Proc. IEEE, vol. 83, no. 3, pp. 466-483, Mar. 1995.
4. J. Zhang and A. J. Morris, “Recurrent neuro-fuzzy networks for nonlinear process modeling,” IEEE Trans. Neural Netw., vol. 10, no. 2, pp. 313–326, Mar. 1999.
5. G. C. Mouzouris and J. M. Mendel, “Dynamic non-singleton fuzzy logic systems for nonlinear modeling,” IEEE Trans. Fuzzy Syst., vol. 5, no. 2, pp. 199–208, May 1997.
6. F.-Y. Wang, Y. Lin, and J. B. Pu, “Linguistic dynamic systems and computing with words for complex systems,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Nashville, TN, Oct. 2000, vol. 4, pp. 2399–2404.
7. C.-H. Lee and C.-C. Teng, “Identification and control of dynamic systems using recurrent fuzzy neural networks,” IEEE Trans. Fuzzy Syst., vol. 8, no. 4, pp. 349–366, Aug. 2000.
8. X. Z. Gao and S. J. Ovaska, “Dynamical fuzzy systems with linguistic information feedback,” in Systematic Organization of Information in Fuzzy Systems, P. Melo-Pinto, H.-N. Teodorescu, and T. Fukuda, Eds. Amsterdam, The Netherlands: IOS, 2003.
9. K. S. Tang, K. F. Man, S. Kwong, and Q. He, “Genetic algorithms and their applications,” IEEE Signal Process. Mag., vol. 13, no. 6, pp. 22–37, Nov. 1996.
10. L.-X. Wang, A Course in Fuzzy Systems and Control. Upper Saddle River, NJ: Prentice-Hall, 1997.
11. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 1999.
12. G. E. P. Box and G. M. Jenkins, Time Series Analysis: Forecasting and Control, 2nd ed. San Francisco, CA: Holden-Day, 1976.
13. W. A. Farag, V. H. Quintana, and G. Lambert-Torres, “A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems,” IEEE Trans. Neural Netw., vol. 9, no. 5, pp. 756–767, Sep. 1998.
14. X. Z. Gao, S. J. Ovaska, and X. Wang, “A simplified linguistic information feedback-based dynamical fuzzy system with learning algorithm—Part I: Theory,” in Proc. IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, Jun. 2005, pp. 44–50.
15. X. Z. Gao, S. J. Ovaska, and X. Wang, “A simplified linguistic information feedback-based dynamical fuzzy system with learning algorithm—Part II: Evaluation,” in Proc. IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, Jun. 2005, pp. 51–56.
16. C.-T. Lin and Y.-C. Lu, “A neural fuzzy system with linguistic teaching signals,” IEEE Trans. Fuzzy Syst., vol. 3, no. 2, pp. 169–188, May 1995.
17. P. J. Werbos, “Backpropagation through time: What it does and how to do it,” Proc. IEEE, vol. 78, no. 10, pp. 1550–1560, Oct. 1990.
18. X. Z. Gao, S. J. Ovaska, and X. Wang, “Learning algorithm for Linguistic Information Feedback-based Dynamical Fuzzy Systems (LIFDFS),” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, The Hague, The Netherlands, Oct. 2004, vol. 3, pp. 2278–2285.