Designing ensembles of fuzzy classification systems: An immune-inspired approach

Lecture Notes in Computer Science

Volumn 3627, Issue , 2005, Pages 469-482

  Castro, Pablo D ^a   Coelho, Guilherme P ^a   Caetano, Marcelo F ^a   Von Zuben, Fernando J ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; FUNCTIONS; IMMUNOLOGY;

CLONAL SELECTION; FUZZY CLASSIFICATION SYSTEMS; HYPERMUTATION; IMMUNE ALGORITHMS;

FUZZY SETS;

EID: 26944481912     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11536444_36     Document Type: Conference Paper

References (28)

1. G. Klir and B. Yuan, "Fuzzy Sets and Fuzzy Logic - Theory and Applications", Prentice-Hall, 1995.
2. W. Pedrycz and F. Gomide, "An Introduction to Fuzzy Sets: Analysis and Design", MIT Press, 1998.
3. 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 International Conference, pp. 1241-1246, Vancouver, Canada, 2001.
4. O. Cordón, F. Herrera, F. Hoffmann and L. Magdalena, "Genetic Fuzzy Systems. Evolutionary tuning and learning of fuzzy knowledge bases", vol. 19 of Advances in Fuzzy Systems: Applications and Theory, World Scientific, 2001.
5. 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.
6. D. E. Goldberg and J. J. Richardson, "Genetic algorithms with sharing for multimodal function optimization", Proceedings of the 2nd International Conference on Genetic Algorithms, pp. 41-49, Cambridge, 1987.
7. P. Bonissone, N. Eklund and K. Goebel, "Using an Ensemble of Classifiers to Audit a Production Classifier", Proceedings of the 6th International Workshop on Multiple Classifier Systems, Monterey, CA, June 13-1, 2005.
8. D. Dasgupta (ed.), "Artificial Immune Systems and Their Applications", Springer-Verlag, 1999.
9. L. N. de Castro and J. Timmis, "An Introduction to Artificial Immune Systems: A New Computational Intelligence Paradigm", Springer-Verlag, 2002.
10. L. C. T. Gomes, J. S. de Sousa, G. B. Bezerra, L. N. de Castro and F. J. Von Zuben, "Copt-aiNet and the Gene Ordering Problem", In: Second Brazilian Workshop on Bioinformatics, Macaé, Brazil, 2003.
11. L. K. Hansen and P. Salamon, "Neural network ensembles", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, pp. 993-1001, 1990.
12. D. Opitz and J. Shavlik, "Generating accurate and diverse members of a neural network ensemble", In D. Touretsky, M. Mozer, and M. Hasselmo (Eds.), Advances in Neural Information Processing Systems, vol. 8, pp. 535-541, MIT Press, 1996.
13. 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.
14. L. N. de Castro and F. J. Von Zuben, "aiNet: An Artificial Immune Network for Data Analysis", in Data Mining: A Heuristic Approach, H. A. Abbass, R. A. Sarker, and C. S. Newton (eds.), Idea Group Publishing, USA, Chapter XII, pp. 231-259, 2001.
15. L. N. de Castro and J. I. Timmis, "An Artificial Immune Network for Multimodal Function Optimization", Proceedings of IEEE Congress of Evolutionary Computation, vol. 1, pp. 699-674, Hawaii, 2002.
16. G. L. Ada and G. J. V. Nossal, "The Clonal Selection Theory", Scientific American, vol. 257, no. 2, pp. 50-57, 1987.
17. N. K. Jerne, "Towards a Network Theory of the Immune System", Ann. Immunol. (Inst. Pasteur) 125C, pp. 373-389, 1974.
18. Alex A. Freitas, "Data Mining and Knowledge Discovery with Evolutionary Algorithms", Springer-Verlag New York, Secaucus, NJ, USA, 2002.
19. A. Krogh and J. Vedelsby, "Neural Network Ensembles, Cross Validation, and Active Learning", in G. Tesauro, D. Touretzky, and T. Leen (Eds.), Advances in Neural Information Processing System, vol. 7, pp. 231-238, MIT Press, 1994.
20. F. Glover and M. Laguna, "Tabu Search", Kluwer Academic Publishers, 1998.
21. R. T. Alves, M. R. B. Delgado, H. S. Lopes and A. Freitas, "Induction of Fuzzy Classification Rules with an Artificial Immune System" proceedings of Brazilian Symposium on Neural Networks, Brazil, 2004.
22. H. A. Camargo, M. G. Pires and P. A. D. Castro. "Genetic Design of Fuzzy Knowledge Bases - a study of different approaches", Proceedings of 23rd IEEE International Conference of NAFIPS, vol. 2, pp. 954-959, Canada, 2004.
23. M.P. Perrone and L.N. Cooper, "When networks disagree: Ensemble method for neural networks", In R.J. Mammone (ed.), Neural Networks for Speech and Image processing. Chapman-Hall, 1993.
24. C. A. M. Lima, A. L. V. Coelho and F. J. Von Zuben, "Fuzzy Systems Design via Ensembles of ANFIS", Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2002), vol. 1, pp. 506-511, Hawaii, 2002.
25. H. Ishibuchi and T. Yamamoto, "Evolutionary Multi-objective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers", Proc. of the Genetic and Evolutionary Computation Conference, pp. 1077-1088, USA, 2003.
26. Z. H. Zhou, J. Wu and W. Tang, "Ensembling Neural Networks: Many Could Be Better Than All", Artificial Intelligence, vol. 137, no. 1-2, pp. 239-263, 2002.
27. C. L. Blake and C. J. Merz. UCI Repository of machine learning databases [http://www.ics.uci.edu/m~learn/MLRepository.html], Irvine, CA: University of California, Department of Information and Computer Science", 1998.
28. Hisao Ishibuchi and Takashi Yamamoto, "Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining", Fuzzy Sets and Systems, vol. 141, pp. 59-88, 2004.