×

Axiomatic characterizations of \(L\)-valued rough sets using a single axiom. (English) Zbl 1535.03259

Summary: Fuzzy rough approximation operators are the underlying concepts in fuzzy rough set theory. There are at least two approaches to develop these primary concepts, i.e., the constructive approach and the axiomatic approach. Single axiomatic characterizations of fuzzy rough approximation operators have got tons of attention. In this paper, considering \(L\) being a GL-quantale, we will develop the theory of \(L\)-valued rough sets with an \(L\)-set as the basic universe of defining \(L\)-valued rough approximation operators. Adopting the idea of single axiomatic characterizations of fuzzy rough sets, we will present the axiomatic characterizations of \(L\)-valued upper and lower rough approximation operators on an \(L\)-set with respect to reflexive, symmetric, transitive \(L\)-valued relations on an \(L\)-set as well as their compositions. Choosing an \(L\)-set as the universe will break the rules that adopting Zadeh’s fuzzy sets as the universe. By these results, we will further provide a new framework of axiomatic research of fuzzy rough set theory.

MSC:

03E72 Theory of fuzzy sets, etc.
68T37 Reasoning under uncertainty in the context of artificial intelligence
Full Text: DOI

References:

[1] Bao, Y. L.; Yang, H. L.; She, Y. H., Using one axiom to characterize L-fuzzy rough approximation operators based on residuated lattices, Fuzzy Sets Syst., 336, 87-115 (2018) · Zbl 1397.03068
[2] Bălohlávek, R., Lattice-type fuzzy order is uniquely given by its 1-cuts: proof and consequences, Fuzzy Sets Syst., 143, 447-458 (2004) · Zbl 1044.06002
[3] Chu, X. L.; Sun, B. Z.; Li, X.; Han, K.; Wu, J. Q.; Zhang, Y.; Huang, Q. C., Neighborhood rough set-based three-way clustering considering attribute correlations: An approach to classification of potential gout groups, Inf. Sci., 535, 28-41 (2020)
[4] Du, Y. B.; Zhu, P., Fuzzy approximation of fuzzy relation structures, Int. J. Approx. Reason., 98, 1-10 (2018) · Zbl 1446.03089
[5] Goguen, J. A., L-fuzzy sets, J. Math. Anal. Appl., 18, 145-174 (1967) · Zbl 0145.24404
[6] Höhle, U., Many-valued Topology and Its Applications (2001), Kluwer Academic publishers: Kluwer Academic publishers Dordrecht, Boston, London · Zbl 0969.54002
[7] Li, F.; Yue, Y. L., L-valued fuzzy rough sets, Iran. J. Fuzzy Syst., 16, 111-127 (2019) · Zbl 1429.03175
[8] Li, L. Q.; Jin, Q.; Hu, K.; Zhao, F. F., The axiomatic characterizations on L-fuzzy covering-based approximation operators, Int. J Gen. Syst., 46, 4, 332-353 (2017)
[9] Li, L. Q.; Jin, Q.; Yao, B. X.; Wu, J. C., A rough set model based on fuzzifying neighborhood systems, Soft Comput., 24, 6085-6099 (2020) · Zbl 1490.68226
[10] Liu, G. L., Generalized rough sets over fuzzy lattices, Inf. Sci., 178, 1651-1662 (2008) · Zbl 1136.03328
[11] Liu, G. L., Using one axiom to characterize rough set and fuzzy rough set approximations, Inf. Sci., 223, 285-296 (2013) · Zbl 1293.03024
[12] Liu, G. L.; Sai, Y., Invertible approximation operators of generalized rough sets and fuzzy rough sets, Inf. Sci., 180, 2221-2229 (2010) · Zbl 1198.03074
[13] T.Y. Lin, Q. Liu, Rough approximate operators: axiomatic rough set theory, in: W. Ziarko (Ed.), Rough Sets, Fuzzy Sets and Knowledge Discovery, Springer, Berlin, 1994, pp. 256-260. · Zbl 0818.03028
[14] Luo, S.; Miao, D. Q.; Zhang, Z. F.; Zhang, Y. J.; Hu, S. D., A neighborhood rough set model with nominal metric embedding, Inf. Sci., 373-388 (2020) · Zbl 1457.68266
[15] Mi, J. S.; Leung, Y.; Zhao, H. Y.; Feng, T., Generalized fuzzy rough sets determined by a triangular norm, Inf. Sci., 178, 3203-3213 (2008) · Zbl 1151.03344
[16] Mi, J. S.; Zhang, W. X., An axiomatic characterization of a fuzzy generalization of rough sets, Inf. Sci., 160, 235-249 (2004) · Zbl 1041.03038
[17] Morsi, N. N.; Yakout, M. M., Axiomatics for fuzzy rough sets, Fuzzy Sets Syst., 100, 327-342 (1998) · Zbl 0938.03085
[18] Ni, P.; Zhao, S. Y.; Wang, X. Z.; Chen, H.; Li, C. P.; Tsang, E. C.C., Incremental feature selection based on fuzzy rough sets, Inf. Sci., 185-204 (2020) · Zbl 1474.68267
[19] Pang, B.; Mi, J. S., Using single axioms to characterize L-rough approximation operators with respect to various types of L-relations, Int. J. Mach. Learn Cyber., 1061-1082 (2020)
[20] Pang, B.; Mi, J. S.; Xiu, Z. Y., L-fuzzifying approximation operators in fuzzy rough sets, Inf. Sci., 480, 14-33 (2019) · Zbl 1443.03035
[21] Pang, B.; Mi, J. S.; Yao, W., L-fuzzy rough approximation operators via three new types of L-fuzzy relations, Soft Comput., 23, 11433-11446 (2019) · Zbl 1436.03281
[22] Pawlak, Z., Rough sets, Int. J. Comput. Inf. Sci., 11, 341-356 (1982) · Zbl 0501.68053
[23] Pu, Q.; Zhang, D., Preordered sets valued in a GL-monoid, Fuzzy Sets Syst., 187, 1-32 (2012) · Zbl 1262.18008
[24] Radzikowska, A. M.; Kerre, E. E., A comparative study of fuzzy rough sets, Fuzzy Sets Syst., 126, 137-155 (2002) · Zbl 1004.03043
[25] Slowinski, R.; Vanderpooten, D., A generalized definition of rough approximations based on similarity, IEEE Trans. Knowl. Data Eng., 12, 2, 331-336 (2000)
[26] Shao, M. W.; Wu, W. Z.; Wang, X. Z.; Wang, C. Z., Knowledge reduction methods of covering approximation spaces based on concept lattice, Knowl. Based Syst., 191, Article 105269 pp. (2020)
[27] She, Y.; Wang, G., An axiomatic approach of fuzzy rough sets based on residuated lattices, Comput. Math. Appl., 58, 189-201 (2009) · Zbl 1189.03059
[28] Thiele, H., On axiomatic characterizations of crisp approximation operators, Inf. Sci., 129, 221-226 (2000) · Zbl 0985.03044
[29] Thiele, H., On axiomatic characterization of fuzzy approximation operators. I, the fuzzy rough set based case, RSCTC2000, (Proceedings of the Conference, Banff Park Lodge, Bariff, Canada, October 19 (2000)), 239-247
[30] Thiele, H., On axiomatic characterization of fuzzy approximation operators II, the rough fuzzy set based case, in, (Proceedings of the 31st IEEE International Symposium on Multiple-Valued Logic (2001)), 330-335
[31] Wang, C. Y., Topological characterizations of generalized fuzzy rough sets, Fuzzy Sets Syst., 312, 109-125 (2017) · Zbl 1421.54006
[32] Wang, C. Y., Single axioms for lower fuzzy rough approximation operators determined by fuzzy implications, Fuzzy Sets Syst., 116-147 (2018) · Zbl 1397.03090
[33] Wang, C. Y.; Zhang, X. G.; Wu, Y. H., New results on single axioms for L-fuzzy rough approximation operators, Fuzzy Sets Syst., 131-149 (2020) · Zbl 1464.03074
[34] Wu, W. Z.; Leung, Y.; Mi, J. S., On characterization of (I, T)-fuzzy rough approximation operators, Fuzzy Sets Syst., 154, 76-102 (2005) · Zbl 1074.03027
[35] Wu, W. Z.; Leung, Y.; Shao, M. W., Generalized fuzzy rough approximation operators determined by fuzzy implicators, Int. J. Approx. Reason., 54, 1388-1409 (2013) · Zbl 1316.68198
[36] Wu, W. Z.; Li, T. J.; Gu, S. M., Using one axiom to characterize fuzzy rough approximation operators determined by a fuzzy implication operators, Fundam. Inf., 142, 87-104 (2015) · Zbl 1346.68211
[37] Wu, W. Z.; Xu, M. W.; Wang, X., Using single axioms to characterize (S, T))-intuitionistic fuzzy rough approximation operators, Int. J. Math. Learn Cybern., 10, 27-42 (2019)
[38] Wu, W. Z.; Mi, J. S.; Zhang, W. X., Generalized fuzzy rough sets, Inf. Sci., 151, 263-282 (2003) · Zbl 1019.03037
[39] Wu, W. Z.; Xu, Y. H.; Shao, M. W.; Wang, G. Y., Axiomatic characterizations of (S, T)-fuzzy rough approximation operators, Inf. Sci., 334-335, 17-43 (2016) · Zbl 1395.68264
[40] Wu, W. Z.; Zhang, W. X., Constructive and axiomatic approaches of fuzzy approximation operators, Inf. Sci., 159, 233-254 (2004) · Zbl 1071.68095
[41] Yang, B.; Hu, B. Q., Fuzzy neighborhood operators and derived fuzzy coverings, Fuzzy Sets Syst., 370, 1-33 (2019) · Zbl 1423.54027
[42] Yao, W.; She, Y.; Lu, L. X., Metric-based L-fuzzy rough sets: approximation operators and definable sets, Knowl. Based Syst., 163, 91-102 (2019)
[43] Yao, Y. Y., Two views of the theory of rough sets infinite universe, Int. J. Approx. Reason., 15, 291-317 (1996) · Zbl 0935.03063
[44] Yao, Y. Y., Generalized rough set model, (Polkowski, L.; Skowron, A., Rough Sets in Knowledge Discovery 1. Methodology and Applications (1998), Physica-Verlag: Physica-Verlag Heidelberg), 286-318 · Zbl 0946.68137
[45] Yao, Y. Y., Constructive and algebraic methods of the theory of rough sets, Inf. Sci., 109, 21-47 (1998) · Zbl 0934.03071
[46] Yao, Y. Y.; Lin, T. Y., Generalization of rough sets using modal logic, Intell. Autom. Soft Comput., 2, 2, 103-120 (1996)
[47] Ye, J.; Zhan, J. M.; Ding, W. P.; Fujita, H., A novel fuzzy rough set model with fuzzy neighborhood operators, Inf. Sci., 544, 12, 266-297 (2021) · Zbl 1475.68386
[48] Zhao, F. F.; Li, L. Q.; Sun, S. B.; Jin, Q., Rough approximation operators based on quantale-valued fuzzy generalized neighborhood systems, Iran. J. Fuzzy Syst., 16, 6, 53-63 (2019) · Zbl 1429.68308
[49] Zhu, W., Generalized rough sets based on relations, Inf. Sci., 177, 4997-5011 (2007) · Zbl 1129.68088
[50] Zhu, W.; Wang, F. Y., Reduction and axiomization of covering generalized rough sets, Inf. Sci., 152, 217-230 (2003) · Zbl 1069.68613
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.