Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2004, Pages 1037-1042

  Castro, Pablo A D ^a   Camargo, Heloisa A ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FUZZY RULE BASES; FUZZY SYSTEMS; GENETIC OPTIMIZATION PROCESS;

COMPUTATIONAL COMPLEXITY; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; LOGIC PROGRAMMING; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; MEMBERSHIP FUNCTIONS; PATTERN RECOGNITION; PROBLEM SOLVING;

FUZZY SETS;

EID: 11144343763     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2004.1375552     Document Type: Conference Paper

References (23)

1. O. Cordón, F. Herrera, F. Gomide, F. Hoffmann and L. Magdalena, "Ten years of genetic-fuzzy systems: a current framework and new trends", Proceedings of Joint 9th IFSA World Congress and 20th NAFIPS Internation Conference, pp. 1241-1246, Vancouver - Canada, 2001.
2. O. Cordón and F. Herrera, "Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems", Fuzzy Sets and Systems, vol. 118, pp. 235-255, 2001.
3. D. Nauck and R. Cruse, "A neuro-fuzzy method to learn fuzzy classification rules from data", Fuzzy Sets and Systems, 9, pp. 277-288, 1997.
4. T. W. Liao, Aivars K. Celmins and Robert J. Hammeil, "A fuzzy c-means variant for the generation of fuzzy term sets", Fuzzy Sets and Systems, vol. 135, pp. 241-257, 1997.
5. H. Nomura, L. Hayashi and N. Wakami, "A learning method of fuzzy inference rules by descent method", Proceedings of the 1st IEEE International Conference on Fuzzy Systems, pp. 203-210, San Diego USA, 1992.
6. O. Cordón, F. Herrera, F. Hoffmann and L. Magdalena", "Recent Advances in Genetic Fuzzy Systems", Journal of Information Sciences, vol. 136, pp. 1-5, 2001.
7. H. Ishibuchi, T. Murata and I. B. Turksen", "Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems", Fuzzy Sets and Systems, vol. 89, pp. 134-150, 1997.
8. Y. Yuan and H. Zhuang, "A genetic algorithm for generating fuzzy classification rules", Fuzzy Sets and Systems, vol. 84, no. 4, pp. 1-19, 1996.
9. H. Ishibuchi, T. Nakashima and T. Murata, "Performance evaluation of fuzzy classifier systems of multidimensional Pattern Classification Problems", IEEE Transactions on Fuzzy Systems, vol. 29, pp. 601-618, 1999.
10. F. Hoffman, B. Baesens, J. Martens, F. Put and J. Vanthienen, "Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring", International Journal of Intelligent Systems, vol. 17, no. 11, pp. 10671083, 2002.
11. P. A. O. Castro, M. G. Pires and H. A. Camargo, "Aprendizado e seleção de regras nebulosas usando algoritmos genéticos", VI Simpósio Brasileiro de Automação Inteligente, pp. 970-975, 2003.
12. J. E. Baker, "Adaptive selection methods for genetic algorithms", Proceedings of the 1st IEEE International Conference on Genetic Algorithms, pp. 101-111, 1985.
13. T. C. Fogarty, "Varying the probability of mutation in the genetic algorithm", Proceedings of the 3rd International Conference on Genetic Algorithms, pp. 104-109, 1989.
14. L. Booker, "Improving search in genetic algorithms", Genetic Algorithms and Simulated Annealing, L. Davis (ed.), Morgan Kaufmann Publishers, pp. 61-73, 1987.
15. M. Sirinivas and L. M. Patnaik, "Adaptive probabilities of crossover and mutation in genetic algorithms", IEEE Trans. Systems, Man, and Cybernetics, vol. 24, no. 4, pp. 656-667, 1994.
16. F. Herrera, M. Lozano and J. L. Verdegay, "Dynamic and heuristic fuzzy connectives based crossover operators for controlling the diversity and convergence of real coded genetic algorithms", International Journal of Intelligent Systems, vol. 11, pp. 1013-1041, 1996.
17. Jan van den Berg, Uzay Kaymak and Willem-Max van den Bergh", "Fuzzy Classification using Probability-based Rule Weighting", Proceedings of the 11th IEEE International Conference on Fuzzy Systems, Hawaii - USA, 2002.
18. O. Cordon, M. J. del Jesus and F. Herrera, "A proposal on reasoning methods in fuzzy rule-based classification systems", International Journal of Approximate Reasoning, vol. 20, pp. 21-45, 2001.
19. G. Klir and B. Yuan, Fuzzy sets and Fuzzy Logic - Theory and Applications, Prentice-Hall, 1995.
20. J. J. Grefenstette, "Optimization of Control Parameters for Genetic Algorithms". IEEE Trans. Systems, Man, and Cybernetics, vol. 16, no. 1, pp. 122-128, 1986.
21. J. A. Vasconcelos, J. A. Ramirez, R. H. C. Takahashi and R. R. Saldanha, "Improvements in Genetic Algorithms", IEEE Trans, on Magnetics, vol. 37, no. 5 pp. 3414-3417, 2001.
22. A. Baraldi and P. Blonda. "A survey of fuzzy clustering algorithms for patterns recognition - Part I", IEEE Trans. Systems, Man, and CyberneticsPart B: Cybernetics, vol. 29, pp. 778-785, 1999.
23. A. Baraldi and P. Blonda, "A survey of fuzzy clustering algorithms for patterns recognition - Part II", IEEE Trans. Systems, Man, and CyberneticsPart B: Cybernetics, vol. 29, pp. 786-801, 1999.