A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters
Several methods currently exist for solving fuzzy linear programming problems under nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation of these methods, they cannot be applied for solving fully fuzzy linear programming (FFLP) with unrestricted fuzzy coeffic...
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doaj-9a2da723336f417c965db6612d7f53c42021-06-02T03:02:14ZengElsevierAlexandria Engineering Journal1110-01682016-09-015532589259510.1016/j.aej.2016.04.039A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parametersH. Saberi Najafi0S.A. Edalatpanah1H. Dutta2Department of Mathematics, Faculty of Sciences, University of Guilan, University Campus 2, Rasht, IranDepartment of Mathematics, Faculty of Sciences, University of Guilan, University Campus 2, Rasht, IranDepartment of Mathematics, Gauhati University, Guwahati 781014, IndiaSeveral methods currently exist for solving fuzzy linear programming problems under nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation of these methods, they cannot be applied for solving fully fuzzy linear programming (FFLP) with unrestricted fuzzy coefficients and fuzzy variables. In this paper a new efficient method for FFLP has been proposed, in order to obtain the fuzzy optimal solution with unrestricted variables and parameters. This proposed method is based on crisp nonlinear programming and has a simple structure. To show the efficiency of our proposed method some numerical examples have been illustrated.http://www.sciencedirect.com/science/article/pii/S1110016816300953Fully fuzzy linear programmingCrisp nonlinear programmingFuzzy arithmeticFuzzy optimal solutionTriangular fuzzy numbers |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Saberi Najafi S.A. Edalatpanah H. Dutta |
spellingShingle |
H. Saberi Najafi S.A. Edalatpanah H. Dutta A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters Alexandria Engineering Journal Fully fuzzy linear programming Crisp nonlinear programming Fuzzy arithmetic Fuzzy optimal solution Triangular fuzzy numbers |
author_facet |
H. Saberi Najafi S.A. Edalatpanah H. Dutta |
author_sort |
H. Saberi Najafi |
title |
A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters |
title_short |
A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters |
title_full |
A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters |
title_fullStr |
A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters |
title_full_unstemmed |
A nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters |
title_sort |
nonlinear model for fully fuzzy linear programming with fully unrestricted variables and parameters |
publisher |
Elsevier |
series |
Alexandria Engineering Journal |
issn |
1110-0168 |
publishDate |
2016-09-01 |
description |
Several methods currently exist for solving fuzzy linear programming problems under nonnegative fuzzy variables and restricted fuzzy coefficients. However, due to the limitation of these methods, they cannot be applied for solving fully fuzzy linear programming (FFLP) with unrestricted fuzzy coefficients and fuzzy variables. In this paper a new efficient method for FFLP has been proposed, in order to obtain the fuzzy optimal solution with unrestricted variables and parameters. This proposed method is based on crisp nonlinear programming and has a simple structure. To show the efficiency of our proposed method some numerical examples have been illustrated. |
topic |
Fully fuzzy linear programming Crisp nonlinear programming Fuzzy arithmetic Fuzzy optimal solution Triangular fuzzy numbers |
url |
http://www.sciencedirect.com/science/article/pii/S1110016816300953 |
work_keys_str_mv |
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