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 (252.1 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

On the minimal solution for max-product fuzzy relation inequalities

Guocheng Zhu1, Zhining Wang2, Xiaopeng Yang2( )
School of Humanities Education, Guangdong Innovative Technical College, Dongguan, 523960, China
School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, 521041, China
Show Author Information

Abstract

Minimal solutions play a crucial role in constructing the complete solution set of the max-product fuzzy relation inequalities, as well as in solving the corresponding fuzzy relation optimization problems. In this work, we propose a sufficient and necessary condition for checking whether a given solution is minimal in the max-product system. Our proposed approach is useful for eliminating non-minimal solutions from the set of all quasi-minimal solutions. Our proposed checking approach helps reduce computational complexity when solving the max-product system or related optimization problems.

CLC number: 90C70, 90C90

References

【1】
【1】
 
 
AIMS Mathematics
Pages 30667-30685

{{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:
Zhu G, Wang Z, Yang X. On the minimal solution for max-product fuzzy relation inequalities. AIMS Mathematics, 2024, 9(11): 30667-30685. https://doi.org/10.3934/math.20241481

864

Views

47

Downloads

0

Crossref

1

Web of Science

1

Scopus

Received: 13 July 2024
Revised: 17 October 2024
Accepted: 23 October 2024
Published: 28 October 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)