SOME PROPERTIES OF INDUCED COVER FROM FAMILY OF COVERING ROUGH SETS
DOI:
https://doi.org/10.37569/DalatUniversity.7.3.333(2017)Keywords:
Family of covering rough set, Induced cover, Knowledge significance, Rough set.Abstract
Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. Covering based rough set theory is proposed as a significant generalization of classical rough sets. It is more general and complex than classical rough set theory, hence there is much need to develop sophisticated structures to characterize covering-based rough sets. In this paper, we studied induced cover from family of covering rough set. Some theoretical results related to the measuring significance of knowledge were obtained and investigated.
Downloads
References
Jianhua, D., Debiao, H., Huashi, S., & Haowei, T. (2014). Uncertainty measurement for covering rough sets. International Journal of Uncertainty, Fuzziness and Knowledge-Base Systems, 22(2), 217-233.
Li, P., Li, F., & Wu, Q. (2009). Uncertainty analysis to the decision rule of incomplete information system. Paper presented at The Information Technology and Applications Conference, USA.
Lynn, D., Mauricio, R., Chriss, C., & Jonatan, G. (2016). Neighborhood operator for covering-based rough sets. International Sciences, 336, 21-24.
Marzena, K. (1998). Rough set approach to incomplete information system. Information Sciences, 112, 39-49.
Mauricio, R., Chris, C., & Jonatan, G. (2013). Characterization of neighborhood operators for covering based rough sets using duality and adroitness. Paper presented at The Eureka-2013, Fourth International Workshop Conference, USA.
Nguyễn, T. T. (2010). Về một metric trên họ các phân hoạch của một tập hữu hạn. Tạp chí Tin học và Điều khiển học, 20(1), 75-87.
Shi, Z., & Gong, Z. (2008). Knowledge reduction and knowledge significance measure based on covering rough sets. International Journal of Pure and Applied Mathematics, 48(1), 1-9.
Shiping, W., Zhu, W., Quingxin, Z., & Fan, M. (2012). Covering base. Journal of Information and Computer Sciences, 9(5), 1343-1355.
William, Z., & Fei, Y. W. (2002). Reduction and axiomatization of covering generalized rough sets. Information Sciences, 152, 217-230.
Yao, Y. Y., & Yao, B. (2012). Covering based rough sets approximation. Information Sciences, 200, 91-107.
Downloads
Published
Volume and Issues
Section
Copyright & License
Copyright (c) 2017 Nguyễn Đức Thuần

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.