Lexicographic Minimum Solution to the System of Fuzzy Relation Inequalities With Addition-Min-Product Composition

The addition-min-product fuzzy relation inequalities were recently introduced to model peer-to-peer file-sharing systems, considering scenarios where the terminals transmit their local file data at varying quality levels. Previous research primarily focused on min–max fuzzy relation programming, which assumed equal treatment for all terminals. However, this approach is inadequate when the terminals need to be differentiated or assigned fixed priority grades. To address network congestion while considering terminal priority, this study explores the lexicographic minimum solution for the addition-min-product FRIs. We propose a detailed algorithm to compute the lexicographic minimum solution, associated with a numerical illustrative example.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Fuzzy Systems
Published
2024-12-10
DOI
https://doi.org/10.1109/tfuzz.2024.3514746
Citations
2
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lexicographic Minimum Solution to the System of Fuzzy Relation Inequalities With Addition-Min-Product Composition

Qianyu Shu, Xingming Wang, Xiaopeng Yang, Guocheng Zhu
2 citations
IEEE Transactions on Fuzzy Systems
Fuzzy Logic and Control Systems
0.69
article

Lexicographic Minimum Solution to the System of Fuzzy Relation Inequalities With Addition-Min-Product Composition

Qianyu Shu, Xingming Wang, Xiaopeng Yang, Guocheng Zhu
article en
2 citations

Abstract

The addition-min-product fuzzy relation inequalities were recently introduced to model peer-to-peer file-sharing systems, considering scenarios where the terminals transmit their local file data at varying quality levels. Previous research primarily focused on min–max fuzzy relation programming, which assumed equal treatment for all terminals. However, this approach is inadequate when the terminals need to be differentiated or assigned fixed priority grades. To address network congestion while considering terminal priority, this study explores the lexicographic minimum solution for the addition-min-product FRIs. We propose a detailed algorithm to compute the lexicographic minimum solution, associated with a numerical illustrative example.

IEEE Transactions on Fuzzy SystemsVol. 33(3)
Chengdu University of Technology (CN), Guangdong Industry Technical College (CN), Hanshan Normal University (CN), Sichuan Normal University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Reduced inequalities
Openalex Percentile: Top 23%
Fuzzy Logic and Control Systems
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.