Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems. Issue 3 (3rd July 2022)

• Record Type: Journal Article
• Authors: Salari, Mehrnoosh; Ghanbari, Reza; Ghorbani-Moghadam, Khatere
• Is Part Of: Fuzzy information and engineering. Volume 14:Issue 3(2022)
• Page Start: 349
• Page End: 359
• Publication Date: 2022-07-03
• Subjects: Fuzzy LR interval number -- fuzzy LR interval algebraic linear system -- least squares method -- non-convex quadratic programming; Fuzzy systems -- Periodicals; Intelligent control systems -- Periodicals; 629.89
• DOI: 10.1080/16168658.2022.2140479
• Languages: English
• ISSNs: 1616-8658

Abstract

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.