A Review of Research Trends and Future Issues of Rough Set Theory
Author:
Affiliation:
1. Graduate School of Engineering, Muroran Institute of Technology
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/30/4/30_209/_pdf
Reference17 articles.
1. [1] Z. Pawlak: “Rough Sets,” Int. J. of Computer and Information Science, Vol.11, pp. 341-356, 1982.
2. [3] Z. Pawlak: “Rough Sets,” Theoretical Aspects of Reasoning about Data, Kluwer Academic Publisher, 1991.
3. [6] A. Chouchoulas and Q. Shen: “Rough Set-Aided Keyword Reduction for Text Categorization,” Applied Artificial Intelligence, Vol.15, No.9, pp. 843-873, 2001.
4. [7] K. Hu, L. Diao, Y. Lu, and C. Shi: “A Heuristic Optiaml Reduct Algorithm,” Proc. of IDEAL2000, Springer, pp. 139-144, 2000.
5. [8] F. Hu, G. Wang, and L. Feng: “Fast Knowledge Reduction Algorithms Based on Quick Sort,” Rough Sets and Knowledge Technology, Springer, pp. 72-79, 2008.
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