Identification of a Gaussian fuzzy classifier

International Journal of Control, Automation and Systems

Volumn 2, Issue 1, 2004, Pages 118-124

  Hwang, Heesoo ^a  

^a Cheju Halla University   (South Korea)

Author keywords

Clustering; Differential evolution; Fuzzy classifier; Pattern classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; FUZZY SETS; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); OPTIMIZATION; PATTERN RECOGNITION; VECTORS;

CLUSTERING; DIFFERENTIAL EVOLUTION; FUZZY CLASSIFIERS;

FUZZY CONTROL;

EID: 4544289484     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. A. Demiriz, K. P. Bennett, and M. J. Embrechts, "Semi-supervised scaled clustering using genetic algorithms," Intelligent Engineering Systems through Artificial Neural Networks, vol. 9, pp. 809-814, ASME Press, 1999.
2. A. L. Corcoran and S. Sen, "Using real-valued genetic algorithm to evolve rule sets for classification," Proc. of the First IEEE Conference on Evolutionary Computation, vol. 1, pp. 120-124, 1994.
3. B. P. Buckles, F. E. Petry, D. Prabhu, R. George, and R. Srikanth, "Fuzzy clustering with genetic search," Proc. of the First IEEE Conference on Evolutionary Computation, vol. 1, pp. 46-50, 1994.
4. B. Yuan, G. J. Klir, and J. F. Swan-Stone, "Evolutionary fuzzy C-means clustering algorithm," Proc. of the Fourth IEEE International Conference on Fuzzy Systems, vol. 4, pp. 2221-2226, 1995.
5. D. Mauck and R. Kruse, "Obtaining interpretable fuzzy classification rules from medical data," Artificial Intelligence in Medicine, vol. 16, pp. 149-169, 1999.
6. H. Ishibuchi, T. Nakashima, and T. Murata, "Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems," IEEE Trans. on Systems, Man and Cybernetics, Part B, vol. 29, no. 5, pp. 601-618, 1999.
7. H. Roubos and M. Setnes, "Compact and transparent fuzzy models and classifiers through iterative complexity reduction," IEEE Trans. on Fuzzy Systems, vol. 9, no. 4, pp. 516-524, 2001.
8. H. Roubos, M. Setnes, and J. Abonyi, "Learning fuzzy classification rules from data," Proc. Recent Advances in Soft Computing, 2000.
9. J. V. D. Oliveira, "Semantic constraints for membership function optimization," IEEE Trans. on Systems, Man and Cybernetics, Part A, vol. 29, no. 1, pp. 128-138, 1999.
10. K. Nozaki, H. Ishibuchi, and H. Tanaka, "Trainable fuzzy classification systems based on fuzzy if-then rules," Proc. of the Third IEEE Conference on Fuzzy Systems, vol. 1, pp. 498-502, 1994.
11. L. I. Kuncheva, and J. C. Bezdek, "Nearest prototype classification: clustering, genetic algorithm, or random search," IEEE Trans. on System, Man and Cybernetics, Part C, vol. 28, no. 1, pp. 160-164, 1998.
12. L. O. Hall, J. C. Bezdek, S. Boggavarapu, and A. Bensaid, "Genetic fuzzy clustering," Proc. of the First International Joint Conference of the North American Fuzzy Information Processing Society Biannual Conference, pp. 411-415, 1994.
13. R. Babuska, Fuzzy Modeling for Control, Kluwer Academic Press, 1998.
14. R. Storn, "System design by constraint adaptation and differential evolution," IEEE Trans. on Evolutionary Computation, vol. 3, no. 1, pp. 22-34, 1999.
15. S. Abe, R. Thawonmas, and M. Kayama, "A fuzzy classifier with ellipsoidal regions for diagnosis problems," IEEE Trans. on Systems, Man and Cybernetics, Part C, vol. 29, no. 1, pp. 140-148, 1999.
16. S. Nascimiento and F. Moura-Pires, "A genetic approach for fuzzy clustering with a validity measure function," Proc. of the Second International Conference on Intelligent Data Analysis, pp. 325-335, 1997.
17. See5/C5.0, http://www.rulequest.com/index.html.
18. T. Van Le, "Evolutionary fuzzy clustering," Proc. of the Second IEEE Conference on Evolutionary Computation, vol. 2, pp. 753-758, 1995.
19. UCI Repository of Machine Learning Databases, http://www.ics.uci.edu/ ~mlearn/.