Fuzzy LR linear systems: quadratic and least squares models to characterize exact solutions and an algorithm to compute approximate solutions

Verfasser / Beitragende:
[Reza Ghanbari, Nezam Mahdavi-Amiri]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/1(2015-01-01), 205-216
Format:
Artikel (online)
ID: 605468354
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024 7 0 |a 10.1007/s00500-014-1243-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1243-7 
245 0 0 |a Fuzzy LR linear systems: quadratic and least squares models to characterize exact solutions and an algorithm to compute approximate solutions  |h [Elektronische Daten]  |c [Reza Ghanbari, Nezam Mahdavi-Amiri] 
520 3 |a We first establish some necessary and sufficient conditions for solvability of fuzzy LR linear systems. We then propose a concept for an approximate solution when a fuzzy LR linear system lacks a solution. Recently, we have proposed an approximate solution for a fuzzy LR linear system under the condition that a corresponding crisp linear system was solvable. Here, we remove this condition by presenting a more general concept of an approximate solution based on a least squares model. We also develop the conditions for the uniqueness of the approximate solution. To compute an approximate solution, we propose an algorithm based on a quadratic programming model with bound constraints on some variables. Finally, we show numerically the appropriateness of our proposed approximate solution for large scale problems in comparison with other recently proposed approximate solutions. The numerical results show that our proposed algorithm produces significantly more accurate solutions. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Fuzzy linear systems  |2 nationallicence 
690 7 |a Fuzzy numbers  |2 nationallicence 
690 7 |a Approximate solution  |2 nationallicence 
690 7 |a Quadratic programming  |2 nationallicence 
690 7 |a Least squares approximation  |2 nationallicence 
690 7 |a Solvability  |2 nationallicence 
700 1 |a Ghanbari  |D Reza  |u Department of Mathematical Sciences, Ferdowsi University of Mashhad, P. O. Box: 9177948953, Mashhad, Iran  |4 aut 
700 1 |a Mahdavi-Amiri  |D Nezam  |u Faculty of Mathematical Sciences, Sharif University of Technology, P. O. Box: 11155-9415, Tehran, Iran  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/1(2015-01-01), 205-216  |x 1432-7643  |q 19:1<205  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1243-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1243-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ghanbari  |D Reza  |u Department of Mathematical Sciences, Ferdowsi University of Mashhad, P. O. Box: 9177948953, Mashhad, Iran  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Mahdavi-Amiri  |D Nezam  |u Faculty of Mathematical Sciences, Sharif University of Technology, P. O. Box: 11155-9415, Tehran, Iran  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/1(2015-01-01), 205-216  |x 1432-7643  |q 19:1<205  |1 2015  |2 19  |o 500