Rough approximations based on different topologies via ideals

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Date

2022

Authors

Esra Dalan Yıldırım
Aysegul Caksu Guler
Oya Ozbakir

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Publisher

Tubitak Scientific & Technological Research Council Turkey

Open Access Color

GOLD

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No

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Abstract

In this paper we generalize the notations of rough sets based on the topological space. Firstly we produce\rvarious topologies by using the concept of ideal $C_j$ -neighbourhoods and $P_j$ -neighbourhoods. When we compare these topologies with previous topologies we see that these topologies are more general. Then we introduce new methods\rto find the approximations by using these generated topologies. When we compare these methods with the previous\rmethods we see that these methods are more accurate.

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Keywords

Matematik, Ipj -Approximations, Topological Spaces, Ideals, 3p(j)-approximations, Rough Sets, 3c(j)-approximations, Icj -Approximations, Sets, Fuzzy topology, \(\mathcal{I}_{C_j}\)-approximations, \(\mathcal{I}_{P_j}\)-approximations, Topological spaces, Reasoning under uncertainty in the context of artificial intelligence, 3C(j)-approximations, topological spaces, ideals, 3P(j)-approximations, rough sets

Fields of Science

02 engineering and technology, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics

Citation

[1] Abd El-Monsef ME Salama AS Embaby OA. Granular computing using mixed neighborhood systems. Journal of Institute of Mathematics and Computer Sciences 2009, 20 (2): 233-243.[2] Abd El-Monsef ME Embaby OA El-Bably MK. Comparison between rough set approximations based on different topologies. International Journal of Granular Computing Rough Sets and Intelligent Systems 2014, 3 (4): 292- 305.[3] Abd El-Monsef ME Kozae AM El-Bably MK. On generalizing covering approximation space. Journal of the Egyptian Mathematical Society 2015, 23: 535-545.[4] Amer WS Abbas MI El-Bably MK. On j -near concepts in rough sets with some applications. Journal of Intelligent and Fuzzy Systems 2017, 32: 1089-1099.[5] Atef M Khalil AM Li S Azzam A El-Atik AEF. Comparison of six types of rough approximations based on j -neighborhood space and j -adhesion neighborhood space. Journal of Inteligent and Fuzzy Systems 2020, 39 (3): 4515-4531.[6] Al-shami TM Fu WQ Abo-Tabl EA. New rough approximations based on E -neighbourhoods. Complexity 2021, 2021: 1-6.[7] Al-shami TM. An improvement of rough set’s accuracy measure using containment neighborhoods with a medical application. Information Sciences 2021, 569: 110-124.[8] Hosny M. Idealization of j -approximation spaces. Filomat 2020, 34 (2): 287- 301.[9] Hosny M. Topological approach for rough sets by using j -nearly concepts via ideals. Filomat 2020, 34 (2): 273-286.[10] Liu G Zhu W. The algebraic structures of generalized rough set theory. Information Sciences 2008, 178 (21): 4105-4113.[11] Lin TY. Granular computing on binary relations I: data mining and neighborhood systems II: rough set representations and belief functions. In: Polkowski L Skowron A (editors). Rough Sets in Knowledge Discovery 1. Physica-Verlag Heidelberg 1998 pp. 107-140.[12] Pawlak Z. Rough sets. International Journal of Computer and Information Sciences 1982, 11 (5): 341-356.[13] Pawlak Z. Rough sets: theoretical aspects of reasoning about data. Dordrecht The Netherlands: Kluwer Academic Publishers 1991.[14] Pawlak Z Skowron A. Rough sets: some extensions. Information Sciences 2007, 177: 28-40.[15] Yao YY. On generalizing Pawlak approximation operators. Lecture Notes in Artificial Intelligence 1998, 1424: 298-307.[16] Yao YY. Rough sets neighborhood systems and granular computing. In: 1999 IEEE Canadian Conference on Electrical and Computer Engineering Proceedings, Canada, 1999. pp. 1553-1558.

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OpenCitations Citation Count
21

Source

Turkish Journal of Mathematics

Volume

46

Issue

4

Start Page

1177

End Page

1192
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Citations

CrossRef : 22

Scopus : 28

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