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Research Article | Open Access

Centralized solution in max-min fuzzy relation inequalities

Miaoxia Chen1,2Guocheng Zhu3Shayla Islam2Xiaopeng Yang2,4( )
Department of Education, Hanshan Normal University, Chaozhou, 521041, China
Institute of Computer Science & Digital Innovation, UCSI University, Kuala Lumpur, 56000, Malaysia
School of Humanities Education, Guangdong Innovative Technical College, Dongguan, 523960, China
School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, 521041, China
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Abstract

In recent years, the peer-to-peer (P2P) educational information sharing system was modeled by a system of fuzzy relation inequalities (FRIs) with addition-min or max-min composition. The max-min FRIs system was applicable to the P2P network considering the highest download traffic among the terminals. Moreover, every solution to such a max-min FRIs system corresponds exactly to one feasible flow control scheme. To embody the stability of a given feasible scheme, we introduce the concept of the widest symmetrical interval solution (WSIS), regarding the corresponding solution in the max-min FRIs system. Some effective procedures are proposed to find the WSIS regarding a provided solution. In addition, aiming to find the most stable feasible scheme, we further define the concept of a centralized solution. Some effective procedures are also proposed to find the centralized solution regarding the max-min FRIs system. Some numerical examples are provided, respectively, to demonstrate our proposed resolution procedures. Our obtained centralized solution will provide decision support for system administrators considering the stability of the feasible scheme.

CLC number: 90C70, 90C90

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AIMS Mathematics
Pages 7864-7890

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Cite this article:
Chen M, Zhu G, Islam S, et al. Centralized solution in max-min fuzzy relation inequalities. AIMS Mathematics, 2025, 10(4): 7864-7890. https://doi.org/10.3934/math.2025361

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Received: 21 January 2025
Revised: 17 March 2025
Accepted: 19 March 2025
Published: 15 April 2025
©2025 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)