AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (254.1 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

A novel pessimistic multigranulation roughness by soft relations over dual universe

Jamalud Din1( )Muhammad Shabir1Samir Brahim Belhaouari2( )
Department of Mathematics, Quaid-I-Azam University Islamabad, 44230, Pakistan
Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
Show Author Information

Abstract

A multigranulation rough set over two universes delivers a unique perspective on the combination of multigranulation information. This paper presents the pessimistic multignualtion rough set over dual universes based on soft binary relations. Firstly, a new pessimistic multigranualtion rough set over dual universes based on two soft binary relations has been developed, and their properties are derived. Then we extend this idea and present pessimistic multigranulation roughness over dual universes based on the finite number of soft binary relations. Finally, we present an example to illustrate our proposed multigranualtion rough set model.

CLC number: 03B52, 68T27

References

【1】
【1】
 
 
AIMS Mathematics
Pages 7881-7898

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Din J, Shabir M, Belhaouari SB. A novel pessimistic multigranulation roughness by soft relations over dual universe. AIMS Mathematics, 2023, 8(4): 7881-7898. https://doi.org/10.3934/math.2023397

76

Views

1

Downloads

1

Crossref

1

Web of Science

1

Scopus

Received: 12 September 2022
Revised: 31 December 2022
Accepted: 10 January 2023
Published: 15 April 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)