Simultaneous Design of Membership Functions and Rule Sets for Fuzzy Controllers Using Genetic Algorithms

IEEE Transactions on Fuzzy Systems

Volumn 3, Issue 2, 1995, Pages 129-139

  Homaifar, Abdollah ^a   McCormick, Ed ^b  

^a NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

^b RTI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0007911636     PISSN: 10636706     EISSN: 19410034     Source Type: Journal    
DOI: 10.1109/91.388168     Document Type: Article

References (19)

1. L. A. Zadeh, “Fuzzy sets,” Informa. Contr., vol. 8, pp. 338–353, 1965.
2. C. L. Karr and E. J. Gentry, “Fuzzy control of pH using genetic algorithms,” IEEE Trans. Fuzzy Syst., vol. 1, no. 1, pp. 46–53, Feb. 1993.
3. C. L. Karr, “Design of an adaptive fuzzy logic controller using a genetic algorithm,” in Proc. the Fourth Int. Conf. Genetic Algorithms, 1991, pp. 450–457.
4. P. Thrift, “Fuzzy logic synthesis with genetic algorithms,” in Proc. Fourth Int. Conf. Genetic Algorithms, pp. 509–513, 1991.
5. D. Nguyen and B. Widrow, “The truck backer-upper: An example of self-learning in neural networks,” in Proc. Int. Joint Conf. Neural Networks (IJCNN-90), vol. 2, 1989, pp. 357–363.
6. B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. Englewood Cliffs, NJ: Prentice-Hall, 1992.
7. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan, 1975.
8. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
9. R. Jain, “Fuzzyism and Real World Problems,” in Fuzzy Sets: Theory and Applications to Policy Analysis and Information Systems, Wang, P. P, and Chang, S. K., Eds. New York: Plenum, 1980.
10. Y. Leung, Spatial Analysis and Planning Under Imprecision. New York, NY: Elsevier, 1988.
11. K. Krishnakumar, “Microgenetic algorithms for stationary and nonstationary function optimization,” in SPIE Proc. Intel!. Contr. Adaptive Syst., vol. 1196, 1989, pp. 289–296.
12. T. J. Procyk and E. H. Mamdani, “A linguistic self-organizing process controller,” Automatica, vol. 15, no. 1, pp. 15–30, 1979.
13. A. Homaifar and V. E. McCormick, “Full design of fuzzy controllers using genetic algorithms,” in SPIE Conf. Neural Stochastic Methods Image Signal Process., vol. 1766, 1992, pp. 393–404.
14. H. Nomura, I. Hayashi, and N. Wakami, “A self-tuning method of fuzzy reasoning by genetic algorithm,” in Proc. Int. Fuzzy Syst. Intell. Contr. Conf. (IFSICC ' ‘92), 1992, pp. 236–245.
15. M. A. Lee and H. Takagi, “Integrating design stages of fuzzy systems using genetic algorithms,” in Proc. IEEE Int. Conf Fuzzy Syst. (FUZZ-IEEE ' ‘93), 1993, pp. 612–617.
16. T. Nishiyama, T. Takagi, R. Yager, and S. Nakanishi, “Automatic generation of fuzzy inference rules by genetic algorithms,” in Proc. 8th Fuzzy Syst. Symp., 1992, pp. 237–240. (in Japanese)
17. Y. Qian, P. Tessier, and G. Dumont, “Fuzzy logic based modeling and optimization,” in 2nd Int. Conf. Fuzzy Logic and Neural Networks (IIZUKA ' ‘92), 1992, pp. 349–352.
18. T. Tsuchiya, Y. Matsubara, and M. parameters using genetic algorithms,” in Proc. 8th Fuzzy Syst. Symp., 1992, pp. 245–248. (in Japanese)
19. L. Wang and J. M. Mendel, “Generating fuzzy rules by learning from examples,” IEEE Trans. Syst. Man, Cybern., vol. 22, no. 6, pp. 1414–1427, Nov.-Dec. 1992.