New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models

Recently, Ghanbari and Mahdavi-Amiri [2015, Soft Computing] have proposed a model to characterize exact solutions and presented an algorithm to compute approximate solutions. Here, inspired by Ghanbari and Mahdavi-Amiri, we show that solving fuzzy LR interval linear systems is equivalent to solving...

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Main Authors: Mehrnoosh Salari, Reza Ghanbari, Khatere Ghorbani-Moghadam
Format: Article
Language:English
Published: Tsinghua University Press 2022-07-01
Series:Fuzzy Information and Engineering
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/16168658.2022.2152950
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author Mehrnoosh Salari
Reza Ghanbari
Khatere Ghorbani-Moghadam
author_facet Mehrnoosh Salari
Reza Ghanbari
Khatere Ghorbani-Moghadam
author_sort Mehrnoosh Salari
collection DOAJ
description Recently, Ghanbari and Mahdavi-Amiri [2015, Soft Computing] have proposed a model to characterize exact solutions and presented an algorithm to compute approximate solutions. Here, inspired by Ghanbari and Mahdavi-Amiri, we show that solving fuzzy LR interval linear systems is equivalent to solving fuzzy LR linear systems (FLRLSs). Then we develop some necessary and sufficient conditions for the solvability of FLRLSs. We then provide a new general concept for an approximate solution when an FLRLS lacks a solution. To compute an approximate solution, we propose an algorithm using a least squares method. Finally, we show the appropriateness of our proposed approximate solution recently introduced numerically.
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spelling doaj.art-058a6f9808bc468b8ff483af0fd700752023-09-03T08:28:55ZengTsinghua University PressFuzzy Information and Engineering1616-86581616-86662022-07-0114333534810.1080/16168658.2022.2152950New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares ModelsMehrnoosh Salari0Reza Ghanbari1Khatere Ghorbani-Moghadam2Department of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, IranDepartment of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, IranMosaheb Institute of Mathematics, Kharazmi University, Tehran, IranRecently, Ghanbari and Mahdavi-Amiri [2015, Soft Computing] have proposed a model to characterize exact solutions and presented an algorithm to compute approximate solutions. Here, inspired by Ghanbari and Mahdavi-Amiri, we show that solving fuzzy LR interval linear systems is equivalent to solving fuzzy LR linear systems (FLRLSs). Then we develop some necessary and sufficient conditions for the solvability of FLRLSs. We then provide a new general concept for an approximate solution when an FLRLS lacks a solution. To compute an approximate solution, we propose an algorithm using a least squares method. Finally, we show the appropriateness of our proposed approximate solution recently introduced numerically.https://www.tandfonline.com/doi/10.1080/16168658.2022.2152950Fuzzy LR interval numberfuzzy LR interval linear systemquadratic programmingleast squares method
spellingShingle Mehrnoosh Salari
Reza Ghanbari
Khatere Ghorbani-Moghadam
New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models
Fuzzy Information and Engineering
Fuzzy LR interval number
fuzzy LR interval linear system
quadratic programming
least squares method
title New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models
title_full New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models
title_fullStr New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models
title_full_unstemmed New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models
title_short New Method for Solving Fuzzy LR Interval Linear Systems Using Least Squares Models
title_sort new method for solving fuzzy lr interval linear systems using least squares models
topic Fuzzy LR interval number
fuzzy LR interval linear system
quadratic programming
least squares method
url https://www.tandfonline.com/doi/10.1080/16168658.2022.2152950
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AT rezaghanbari newmethodforsolvingfuzzylrintervallinearsystemsusingleastsquaresmodels
AT khatereghorbanimoghadam newmethodforsolvingfuzzylrintervallinearsystemsusingleastsquaresmodels