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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Vydáno v:	Alexandria engineering journal Ročník 55; číslo 3; s. 2589 - 2595
Hlavní autoři:	Saberi Najafi, H., Edalatpanah, S.A., Dutta, H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.09.2016 Elsevier
Témata:	Crisp nonlinear programming Fully fuzzy linear programming Fuzzy arithmetic Fuzzy optimal solution Triangular fuzzy numbers Triangular fuzzy numbers Crisp nonlinear programming Fully fuzzy linear programming Fuzzy optimal solution Fuzzy arithmetic
ISSN:	1110-0168
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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.
ISSN:	1110-0168
DOI:	10.1016/j.aej.2016.04.039