Rough Set Methods in Approximation of Hierarchical Concepts

Author:

Bazan Jan G.,Nguyen Sinh Hoa,Nguyen Hung Son,Skowron Andrzej

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Barwise, J., Seligman, J. (eds.): Information Flow: The Logic of Distributed Systems. Cambridge University Press, Cambridge (1997)

2. Bazan, J.G.: A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery 1: Methodology and Applications, pp. 321–365. Physica-Verlag, Heidelberg (1998)

3. Bazan, J., Nguyen, H.S., Skowron, A., Szczuka, M.: A view on rough set concept approximation. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 181–188. Springer, Heidelberg (2003)

4. Lecture Notes in Artificial Intelligence;J.G. Bazan,2001

5. Kloesgen, W., Żytkow, J. (eds.): Handbook of Knowledge Discovery and Data Mining. Oxford University Press, Oxford (2002)

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