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 (253.4 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

The bound of the correlation results of the roughness measure of the disturbation fuzzy set

Li Li1( )Hangyu Shi1Xiaona Liu1Jingjun Shi2( )
Mathematical Sciences College, Bohai University, No. 19 Keji Road, Songshan New District, Jinzhou 121013, China
Lishu County Double River Township Middle School, Siping 136517, China
Show Author Information

Abstract

This paper mainly studies and proves the roughness bound of disturbation fuzzy sets. Firstly, based on the theory of determining self-increment and uncertain self-decrement operators, the problem that the execution subsets are not equal sets is effectively solved, which hinders the quantitative study of disturbed fuzzy sets and lays a foundation for the quantitative study of the related properties of disturbed fuzzy sets in the future. The boundary of roughness measure of disturbing fuzzy set is further studied and proved. The new territories proposed in this paper can effectively avoid the unnecessary calculation space outside the boundary in the calculation process, so as to improve the work efficiency.

CLC number: 03E72

References

【1】
【1】
 
 
AIMS Mathematics
Pages 7152-7168

{{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:
Li L, Shi H, Liu X, et al. The bound of the correlation results of the roughness measure of the disturbation fuzzy set. AIMS Mathematics, 2024, 9(3): 7152-7168. https://doi.org/10.3934/math.2024349

108

Views

3

Downloads

1

Crossref

1

Web of Science

1

Scopus

Received: 14 December 2023
Revised: 28 January 2024
Accepted: 31 January 2024
Published: 15 March 2024
©2024 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)