×

Generalized rough sets based on neighborhood systems and topological spaces. (English) Zbl 1350.54011

Summary: Rough sets theory is an important method for dealing with uncertainty, fuzziness and undefined objects. In this paper, we introduce a new approach for generalized rough sets based on the neighborhood systems induced by an arbitrary binary relation. Four pairs of the dual approximation operators are generated from the core of neighborhood systems. Relationship among different approximation operators are presented. We generate different topological spaces by using the core of these neighborhood systems. Relationship among different generated topologies are discussed.

MSC:

54A40 Fuzzy topology
54A05 Topological spaces and generalizations (closure spaces, etc.)
03E72 Theory of fuzzy sets, etc.

References:

[1] Zadeh, L. A., Fuzzy sets, Inf. Control, 8, 338-353 (1965) · Zbl 0139.24606
[2] Pawlak, Z., Rough Sets: Theoretical Aspects of Reasoning About Date (1991), Kluwer Academic Publishers: Kluwer Academic Publishers Boston · Zbl 0758.68054
[3] Pawlak, Z., Rough Sets, Int. J. Inf. Comput. Sci., 11, 341-356 (1982) · Zbl 0501.68053
[4] Cattaneo, G., Abstract approximation spaces for rough theories, (Polkowski, L.; Skoeron, A., Rough Sets in Knowledge Discovery, Methodology and Applications, vol. 1 (1998), Physica-Verlag: Physica-Verlag Heidelberg), 59-98 · Zbl 0927.68087
[5] Douwen, E. K.V.; Pfeffer, W. F., Some properties of Sorgenfrey line and related spaces, Pac. J. Math., 81, 371-377 (1979) · Zbl 0409.54011
[6] Gruenhage, G., A survey on D-spaces, Contemp. Math., 533, 13-28 (2011) · Zbl 1217.54025
[8] Hung, H., Symmetric and tufted assignments of neighborhoods and metrization, Topol. Appl., 155, 2137-2142 (2008) · Zbl 1153.54013
[9] Kondo, M., On the structure of generalized rough sets, Inf. Sci., 176, 586-800 (2006)
[10] Lashin, E.; Kozae, A.; Khadra, A.; Medhat, T., Rough set theory for topological spaces, Int. J. Approx. Reason., 40, 35-43 (2005) · Zbl 1099.68113
[11] Liu, G.; Zhu, W., The algebraic structures of generalized rough set theory, Inf. Sci., 178, 4105-4113 (2008) · Zbl 1162.68667
[12] Lin, T., Neighborhood systems and relational datebase, Proceedings of CSCÆ88 (1988)
[13] Lin, T., Neighborhood systems-application to qualitative fuzzy and rough sets, (Wang, P. P., Advances in Machine Intelligence and Soft Computing, Department of Electrical Engineering (1997), Duke University: Duke University Durham, NC, USA), 132-155
[14] Dai, J.; Xu, Q., Approximations and uncertainty measures in incomplete information systems, Inf. Sci., 198, 62-80 (2012) · Zbl 1248.68487
[15] Jarvinen, J., On the structure of rough approximations, Fundam. Inform., 53, 135-153 (2002) · Zbl 1012.68200
[17] Yao, Y. Y., Constructive and algebraic methods of theory of rough sets, Inf. Sci., 109, 21-47 (1998) · Zbl 0934.03071
[18] Slowinski, R.; Vanderpooten, D., A generalized definition of rough approximations based on similarity, IEEE Trans. Knowl. Date Eng., 12, 331-336 (2000)
[19] Pawlak, Z.; Skowron, A., Rough sets and boolean reasoning, Inf. Sci., 177, 41-73 (2007) · Zbl 1142.68551
[20] Liu, G. L., Using one axiom to characterize rough set and fuzzy rough set approximations, Inf. Sci., 223, 285-296 (2013) · Zbl 1293.03024
[21] Yang, T.; Li, Q., Reduction about approximation spaces of covering generalized rough sets, Int. J. Approx. Reason., 51, 3, 335-345 (2010) · Zbl 1205.68433
[22] Yao, Y. Y., On generalizing pawlak approximation operators, Lecture Notes in Artif. Intell., 424, 298-307 (1998) · Zbl 0955.68505
[23] Yao, Y. Y., Relational interpretations of neighborhood operators and rough set approximation operators, Inf. Sci., 111, 239-259 (1998) · Zbl 0949.68144
[24] Zhu, W., Generalized rough sets based on relations, Inf. Sci., 177, 22, 4997-5011 (2007) · Zbl 1129.68088
[25] Bonikowski, Z.; Bryniarski, E.; Wybraniec-Skardowska, U., Extensions and intentions in the rough set theory, Inf. Sci., 107, 149-167 (1998) · Zbl 0934.03069
[26] Bryniarski, E., A calculus of rough sets of the first order, Bull. Pol. Acad. Sci., 36, 16, 71-77 (1989) · Zbl 0756.04002
[27] Pomykala, J. A., Approximation operations in approximation space, Bull. Pol. Acad. Sci., 35, 910, 653-662 (1987) · Zbl 0642.54002
[28] Zakowski, W., Approximations in the space (u, π), Demonstr. Math., 16, 761-769 (1983) · Zbl 0553.04002
[29] Zhu, W.; Wang, F. Y., Reduction and axiomization of covering generalized rough sets, Inf. Sci., 152, 217-230 (2003) · Zbl 1069.68613
[30] Xiaole, Z. Y.; Yun, Z., A study of rough sets based on 1-neighborhood systems, Inf. Sci., 248, 103-113 (2013) · Zbl 1335.03060
[31] Liu, G., Special types of coverings and axiomatization of rough sets based on partial orders, Knowl. Based Syst., 85, 316-321 (2015)
[32] Wu, Q. E.; Wang, T.; Huang, Y. X.; Li, J. S., Topology theory on rough sets, IEEE Trans. Syst. Man Cybern. Part B: Cybern., 38, 1, 68-77 (2008)
[33] Lin, T.; Liu, Q.; Huang, K.; Chen, W., Rough sets, neighborhood systems and approximation, (Ras, Z.; Zemakova, M.; Emrichm, M., Methodologies for Intelligent systems, Proceedings of the Fifth International Symposium on Methodologies of Intelligent Systems, Knoxville, Tennessee, North-Holland, New York,, vol. 2527 (1990)), 130-141
[34] Orlowska, E., Semantics analysis of inductive reasoning, Theor. Comput. Sci., 43, 81-89 (1986) · Zbl 0601.68059
[35] Wasilewska, A., Conditional knowledge representation systems model for an implementation, Bull. Pol. Acad. Sci.: Math., 37, 63-69 (1987) · Zbl 0753.68088
[36] Yao, Y.; Lin, T., Generalization of rough sets using modal logic, Intell. Autom. Soft Comput. Int. J., 2, 103-120 (1996)
[37] Kelly, J. L., General topology, Graduate Texts in Mathematics, vol. 27 (1955), Springer-Verlag · Zbl 0066.16604
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.