Abstract
Relevance of fuzzy logic, artificial neural networks, genetic algorithms and rough sets to pattern recognition and image processing problems is described through examples. Different integrations of these soft computing tools are illustrated. Evolutionary rough fuzzy network which is based on modular principle is explained, as an example of integrating all the four tools for efficient classification and rule generation, with its various characterstics. Significance of soft computing approach in data mining and knowledge discovery is finally discussed along with the scope of future research.
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References
L. A. Zadeh. (1994) Fuzzy logic, neural networks, and soft computing. Communications of the ACM, 37, 77–84.
S. K. Pal and S. Mitra. (1999) Neuro-fuzzy Pattern Recognition: Methods in Soft Computing. John Wiley, New York.
L. A. Zadeh. (1965) Fuzzy sets. Information and Control, 8, 338–353.
S. K. Pal and D. Dutta Majumder. (1986) Fuzzy Mathematical Approach to Pattern Recognition. John Wiley (Halsted Press), New York.
J. C. Bezdek and S. K. Pal, editors. (1992) Fuzzy Models for Pattern Recognition: Methods that Search for Structures in Data. IEEE Press, New York.
D. E. Rumelhart and J. L. McClelland, editors. (1986) Parallel Distributed Processing: Explorations in the Microstructures of Cognition, volume 1. MIT Press, Cambridge.
R. P. Lippmann. (1989) Pattern classification using neural networks. IEEE Communications Magazine, 47–64.
D. E. Goldberg. (1989) Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA.
S. K. Pal and P. P. Wang, editors. (1996) Genetic Algorithms for Pattern Recognition. CRC Press, Boca Raton.
L. B. Booker, D. E. Goldberg, and J. H. Holland. (1989) Classifier systems and genetic algorithms. Artificial Intelligence, 40, 235–282.
J. H. Holland. (1975) Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor.
Z. Pawlak. (1991) Rough Sets, Theoretical Aspects of Reasoning about Data. Kluwer Academic, Dordrecht.
A. Rosenfeld and A. C. Kak. (1982) Digital Picture Processing, volume 1–2. Academic Press, New York.
R. C. Gonzalez and P. Wintz. (1987) Digital Image Processing. Addison-Wesley, Reading, MA.
R. O. Duda and P. E. Hart. (1973) Pattern Classification and Scene Analysis. John Wiley, New York.
J. T. Tou and R. C. Gonzalez. (1974) Pattern Recognition Principles. AddisonWesley, London.
S.K. Pal, A. Ghosh, and M.K. Kundu, editors. (2000) Soft Computing for Image Processing. Physica Verlag, Heidelberg.
S.K. Pal, T.S. Dillon, and D.S. Yeung. (2000) Soft Computing in Case Based Reasoning. Springer Verlag, London.
R. Slowiriski, editor. (1992) Intelligent Decision Support, Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic, Dordrecht.
S. K. Pal, L. Polkowski, and A. Skowron. (2002) Rough-Neuro Computing: A Way to Computing with Words. Springer, Heidelberg.
D. Zhang and S. K. Pal, editors. (2002) Neural Networks and Systolic Array Design. World Scientific, Singapore.
S. K. Pal, W. Pedrycz, A. Skowron, and R. Swiniarski (eds). (2001) Spl. issue on rough-neuro computing. Neurocomputing, 36(1–4).
M. Banerjee, S. Mitra, and S. K. Pal. (1998) Rough fuzzy MLP: Knowledge encoding and classification. IEEE Transactions on Neural Networks, 91(6), 203–1216.
P. Mitra, S. Mitra, and S. K. Pal. (2000) Staging of cervical cancer using soft computing. IEEE Transactions on Biomedical Engineering, 47(7), 934–940.
S.K. Pal and A. Pal, editors. (2001) Pattern Recognition: From Classical to Modern Approaches. World Scientific, Singapore.
S. Mitra, S. K. Pal, and P. Mitra. (2002) Data mining in soft computing framework: A survey. IEEE Transactions on Neural Networks, 13(1), 3–14.
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Pal, S.K. (2003). Soft Computing Pattern Recognition: Principles, Integrations and Data Mining. In: Inuiguchi, M., Hirano, S., Tsumoto, S. (eds) Rough Set Theory and Granular Computing. Studies in Fuzziness and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36473-3_3
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DOI: https://doi.org/10.1007/978-3-540-36473-3_3
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