Min–max programming problem with constraints of addition-min-product fuzzy relation inequalities

In this paper, we study a new type of fuzzy relation system called fuzzy relational inequalities with addition-min-product composition operations to model a peer-to-peer (P2P) file sharing system. Some properties of this addition-min-product system are investigated. We then characterize the structur...

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Published inFuzzy optimization and decision making Vol. 21; no. 2; pp. 291 - 317
Main Authors Qiu, Jianjun, Yang, Xiaopeng
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2022
Springer Nature B.V
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ISSN1568-4539
1573-2908
DOI10.1007/s10700-021-09368-7

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Abstract In this paper, we study a new type of fuzzy relation system called fuzzy relational inequalities with addition-min-product composition operations to model a peer-to-peer (P2P) file sharing system. Some properties of this addition-min-product system are investigated. We then characterize the structure of the solution set. Furthermore, to reduce the network congestion and improve the stability of data transmission, a min–max programming problem with constraints of addition-min-product fuzzy relation inequalities is established and investigated. We divide this min–max programming problem into several subproblems with the constraint of a single equation. Based on the optimal solutions to these subproblems, we can solve the original fuzzy relation min–max programming problem. Two algorithms, with polynomial computational complexity, are developed to search for an optimal solution to our studied problem. The validity of the algorithms is examined through a numerical example.
AbstractList In this paper, we study a new type of fuzzy relation system called fuzzy relational inequalities with addition-min-product composition operations to model a peer-to-peer (P2P) file sharing system. Some properties of this addition-min-product system are investigated. We then characterize the structure of the solution set. Furthermore, to reduce the network congestion and improve the stability of data transmission, a min–max programming problem with constraints of addition-min-product fuzzy relation inequalities is established and investigated. We divide this min–max programming problem into several subproblems with the constraint of a single equation. Based on the optimal solutions to these subproblems, we can solve the original fuzzy relation min–max programming problem. Two algorithms, with polynomial computational complexity, are developed to search for an optimal solution to our studied problem. The validity of the algorithms is examined through a numerical example.
Author Yang, Xiaopeng
Qiu, Jianjun
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CitedBy_id crossref_primary_10_1109_TFUZZ_2024_3514746
crossref_primary_10_1007_s40815_022_01316_w
crossref_primary_10_1016_j_fss_2023_108825
crossref_primary_10_3390_math12203183
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Issue 2
Keywords Min–max programming problem
Fuzzy relation equation
Addition-min-product composition
Peer-to-Peer file sharing system
Fuzzy relation inequality
Language English
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PublicationSubtitle A Journal of Modeling and Computation Under Uncertainty
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Snippet In this paper, we study a new type of fuzzy relation system called fuzzy relational inequalities with addition-min-product composition operations to model a...
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SubjectTerms Algorithms
Artificial Intelligence
Calculus of Variations and Optimal Control; Optimization
Data transmission
Inequalities
Mathematical Logic and Foundations
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Polynomials
Probability Theory and Stochastic Processes
Programming
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Title Min–max programming problem with constraints of addition-min-product fuzzy relation inequalities
URI https://link.springer.com/article/10.1007/s10700-021-09368-7
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