Abstract
Covering rough set model is an important extension of Pawlak rough set model, and its structure is the foundation of covering rough set theory. This paper considers four covering approximations and studies the structures of the families of their covering upper (or lower) definable sets by means of lattice theory. We provide some conditions under which the families of covering upper (or lower) definable sets with respect to these covering approximations are lattices of sets, or distributive lattices, or geometric lattices, or Boolean lattices. Furthermore, based on these results, we give the relationship among the four covering approximations and establish the connection between matroids and covering rough sets from the viewpoint of lattice theory.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Bonikowski Z, Bryniarski E, Wybraniec-Skardowska U (1998) Extensions and intentions in the rough set theory. Inf Sci 107(1):149–167
Birkhoff G (1935) Abstract linear dependence and lattices. Am J Math 57(4):800–804
Chen D, Zhang W, Yeung D, Tsang E (2006) Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf Sci 176:1829–1848
Chen D, Wang C, Hu Q (2007) A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Inf Sci 177(17):3500–3518
Davey BA, Priestley HA (1990) Introduction to lattices and order. Cambridge University Press, Cambridge
D’eer L, Cornelis C (2015) New neighborhood based rough sets. In: Proceedings of 10th International Conference on Rough Sets and Knowledge Technology (RSKT2015), LNAI 9436, pp 191–201
D’eer L, Restrepo M, Cornelis C, Gómez J (2016) Neighborhood operators for covering-based rough sets. Inf Sci 336:21–44
D’eer L, Cornelis C, Yao Y (2016) A semantically sound approach to Pawlak rough sets and covering-based rough sets. Int J Approx Reason 78:62–72
Grätzer G (2011) Lattice theory: foundation. Birkhäuser, Basel
Ge X, Wang P, Yun Z (2017) The rough membership functions on four types of covering-based rough sets and their applications. Inf Sci 390:1–14
Huang A, Zhao H, Zhu W (2014) Nullity-based matroid of rough sets and its application to attribute reduction. Inf Sci 263:153–165
Kondo M (2005) On the structure of generalized rough sets. Inf Sci 176:589–600
Liu G, Zhu W (2008) The algebraic structures of generalized rough set theory. Inf Sci 178:4105–4113
Liu G, Zhu K (2014) The relationship among three types of rough approximation pairs. Knowl-Based Syst 60:28–34
Liu G, Sai Y (2009) A comparison of two types of rough sets induced by coverings. Int J Approx Reason 50(3):521–528
Li T, Wu W (2011) Attribute reduction in formal contexts: a covering rough set approach. Fund Inf 111:15–32
Li X, Yi H, Liu S (2016) Rough sets and matroids from a lattice-theoretic viewpoint. Inf Sci 342:37–52
Li X, Liu S (2012) Matroidal approaches to rough sets via closure operators. Int J Approx Reason 53:513–527
Lin G, Liang J, Qian Y (2013) Multigranulation rough sets: from partition to covering. Inf Sci 241:101–118
Liang J, Wang F, Dang C, Qian Y (2012) An efficient rough feature selection algorithm with a multi-granulation view. Int J Approx Reason 53:912–926
Medina J (2012) Multi-adjoint property-oriented and object-oriented concept lattices. Inf Sci 190:95–106
Oxley JG (1992) Matroid theory. Oxford University Press, New York
Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11:341–356
Pawlak Z, Skowron A (2007) Rough sets and Boolean reasoning. Inf Sci 177(1):41–73
Pei Z, Pei D, Zheng L (2011) Topology vs generalized rough sets. Int J Approx Reason 52:231–239
Pomykala J (1987) Approximation operators in approximation space. Bull Polish Acad Sci Math 35:653–662
Pomykala J (1988) On definability in the nondeterministic information system. Bull Pol Acad Sci Math 36(3–4):193–210
Qin K, Gao Y, Pei Z (2007) On covering rough sets. In: Rough sets and knowledge technology. Springer, Berlin, 34–41
Qin K, Yang J, Pei Z (2008) Generalized rough sets based on reflexive and transitive relations. Inf Sci 178:4138–4141
She Y, He X (2012) On the structure of the multigranulation rough set model. Knowl-Based Syst 36:81–92
Su L, Zhu W (2017) Closed-set lattice and modular matroid induced by covering-based rough sets. Int J Mach Learn Cybern 8:191–201
Tsumoto S, Tanaka A (1993) Rough sets and matroid theory. In: Ziarko W (ed) Rough sets, fuzzy sets and knowledge discovery. Springer, London, pp 290–297
Tsumoto S, Tanaka H (1995) Algebraic specification of empirical inductive learning methods based on rough sets and matroid theory. LNCS 985:224–243
Wang S, Zhu Q, Zhu W, Min F (2013) Quantitative analysis for covering-based rough sets through the upper approximation number. Inf Sci 220:483–491
Wang S, Zhu Q, Zhu W, Min F (2012) Matroidal structure of rough sets and its characterization to attribute reduction. Knowl-Based Syst 36:155–161
Wu W, Leung Y (2013) Optimal scale selection for multi-scale decision tables. Int J Approx Reason 54:1107–1129
Wolski M (2006) Complete orders, categories and lattices of approximations. Fund Inf 72:421–435
Wang Z, Shu L, Ding X (2013) Minimal description and maximal description in covering-based rough sets. Fund Inf 128:503–526
Wang Z, Wang H, Feng Q, Shu L (2015) The approximation number function and the characterization of covering approximation space. Inf Sci 305:196–207
Xu Z, Wang Q (2005) On the properties of covering rough sets model (in Chinese). J Henan Norm Univ 33(1):130–132
Yao Y (1998a) Constructive and algebraic methods of theory of rough sets. Inf Sci 109:21–47
Yao Y (1998b) Relational interpretations of neighborhood operators and rough set approximation operators. Inf Sci 111:239–259
Yao Y, Yao B (2012) Covering based rough sets approximations. Inf Sci 200:91–107
Yao Y, She Y (2016) Rough set models in multigranulation spaces. Inf Sci 327:40–56
Yang T, Li Q (2010) Reduction about approximation spaces of covering generalized rough sets. Int J Approx Reason 51:335–345
Yang X, Qi Y, Song X, Yang J (2013) Test cost sensitive multigranulation rough set: model and minimal cost selection. Inf Sci 250:184–199
Żakowski W (1983) Axiomatization in the space (U, \(\varPi \)). Demonstr Math XVI: 761–769
Zhu W (2007) Generalized rough sets based on relations. Inf Sci 177:4997–5011
Zhu W (2009) Relationship between generalized rough sets based on binary relation and covering. Inf Sci 179:210–225
Zhu W (2007) Topological approaches to covering rough sets. Inf Sci 177:1499–1508
Zhu W (2009) Relationship among basic concepts in covering-based rough sets. Inf Sci 179:2478–2486
Zhu W, Wang F (2003) Reduction and axiomatization of covering generalized rough sets. Inf Sci 152:217–230
Zhu W, Wang F (2006) Properties of the first type of covering-based rough sets. In: Proceedings of the Sixth IEEE International Conference on Data Mining-Workshops (ICDMW’06), pp 407–411
Zhu W, Wang F (2007) On three types of covering based rough sets. IEEE Trans Knowl Data Eng 19(8):1131–1144
Zhu W, Wang F (2012) The fourth type of covering-based rough sets. Inf Sci 201:80–92
Zhang X, Miao D, Liu C, Le M (2016) Constructive methods of rough approximation operators and multigranulation rough sets. Knowl-Based Syst 91:114–125
Zhao Z (2016) On some types of covering rough sets from topological points of view. Int J Approx Reason 68:1–14
Acknowledgements
The authors thank all of the editors and reviewers for their constructive comments as well as helpful suggestions, which have substantially improved this paper. This work is supported by the Foundation of Shanxi Normal University (Grant No. 872022).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
Author declares that he has no conflict of interest.
Human and animal rights
This article does not contain any studies with human participants or animals performed by any of the authors.
Additional information
Communicated by A. Di Nola.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wang, Z., Wang, H. & Feng, Q. The structures and the connections on four types of covering rough sets. Soft Comput 23, 6727–6741 (2019). https://doi.org/10.1007/s00500-018-3616-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-018-3616-9