Title : ( Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems )
Authors: Mehrnoosh Salari , Reza Ghanbari , Khatere Ghorbani-Moghadam ,
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Abstract
We first investigate the solvability conditions of fuzzy LR interval algebraic linear systems with fuzzy LR interval coefficient matrix and fuzzy LR interval hand-right vector. Next, we compute the solution of FLRIALS (fuzzy LR interval algebraic linear systems) using the least squares approach. We show that solving the least squares problem is equivalent to solving a quadratic programming problem. Indeed, instead of the FLRIALS, this quadratic programming has a non-convex constraint. Thus, we relax this constraint to have a convex search space. Then, from the solution obtained from quadratic programming on convex search space, we give an approximate solution for FLRIALS.
Keywords
, Fuzzy LR interval number, fuzzy LR interval algebraic linear system, least squares method, non-convex quadratic programming
@article{paperid:1092710,
author = {مهرنوش سالاری and Ghanbari, Reza and Khatere Ghorbani-Moghadam},
title = {Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems},
journal = {Fuzzy Information and Engineering},
year = {2022},
volume = {14},
number = {3},
month = {July},
issn = {1616-8658},
pages = {349--359},
numpages = {10},
keywords = {Fuzzy LR interval number; fuzzy LR interval algebraic linear system; least squares method; non-convex quadratic programming},
}
%0 Journal Article
%T Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems
%A مهرنوش سالاری
%A Ghanbari, Reza
%A Khatere Ghorbani-Moghadam
%J Fuzzy Information and Engineering
%@ 1616-8658
%D 2022
