Rough Set Theory: An Introduction

Author:

Polkowski Lech

Publisher

Physica-Verlag HD

Reference58 articles.

1. J. Bazan, H.S. Nguyen, S. H. Nguyen, P. Synak, and J. Wróblewski, Rough set algorithms in classification problems,in: [Polkowski—TsumotoLin], pp. 49–88.

2. J.G. Bazan, Nguyen Hung Son, Nguyen Tuan Trung, A. Skowron, and J. Stepaniuk, Decision rules synthesis for object classification,in: [Orlowska98], pp. 23–57.

3. D.E. Goldberg, GA in Search, Optimisation, and Machine Learning, Addison—Wesley, 1989.

4. S. Greco, B. Matarazzo, R. Słowiński, Fuzzy dominance as basis for rough approximations, in: Proceedings: the 4th Meeting of the EURO WG on Fuzzy Sets and 2nd Internat. Conf. on Soft and Intelligent Computing, (EUROFUSE-SIC’99), Budapest, Hungary, May 1999, pp. 273–278.

5. S. Greco, B. Matarazzo, and R. Słowiński, On joint use of indiscernibility, similarity and dominance in rough approximation of decision classes, in: Proceedings: the 5th International Conference of the Decision Sciences Institute, Athens, Greece, July 1999, pp. 1380–1382.

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