Perturbation Bounds of LR Fuzzy Linear Systems

This paper proposes a new method to discuss the perturbation problem of the LR fuzzy linear systems by an embedding method. By solving the perturbation equation of the original fuzzy linear systems, the respective relative error bounds are analyzed and obtained: (a) the right hand side is perturbed while the coefficient matrix remains unchanged; (b) the coefficient matrix is perturbed while the right hand side remains unchanged; and (c) both the coefficient matrix and the right hand side are perturbed. Some numerical examples are given to illustrated our proposed method. The results enrich the computation theories of fuzzy linear systems.

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Publication Details

Journal
Fuzzy Information and Engineering
Published
2024-12-01
DOI
https://doi.org/10.26599/fie.2024.9270049
Citations
1
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.35

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article

Perturbation Bounds of LR Fuzzy Linear Systems

Xiaobin Guo, Kun Liu
1 citations
Fuzzy Information and Engineering
Fuzzy Logic and Control Systems
0.35
article

Perturbation Bounds of LR Fuzzy Linear Systems

Xiaobin Guo, Kun Liu
article en
1 citations

Abstract

This paper proposes a new method to discuss the perturbation problem of the LR fuzzy linear systems by an embedding method. By solving the perturbation equation of the original fuzzy linear systems, the respective relative error bounds are analyzed and obtained: (a) the right hand side is perturbed while the coefficient matrix remains unchanged; (b) the coefficient matrix is perturbed while the right hand side remains unchanged; and (c) both the coefficient matrix and the right hand side are perturbed. Some numerical examples are given to illustrated our proposed method. The results enrich the computation theories of fuzzy linear systems.

Fuzzy Information and EngineeringVol. 16(4)
Longdong University (CN), Northwest Normal University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 30%
Fuzzy Logic and Control Systems
0.35
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