AbstractSeveral 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
Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. L...
Abstract. In this paper we are going to introduce an efficient approach for solving a wide class of ...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...
Several methods currently exist for solving fuzzy linear programming problems under nonnegative fuzz...
There exist several methods for solving fuzzy linear or nonlinear programming problems under positiv...
Abstract: In this paper, a new method for fuzzy variable linear programming problem is proposed. The...
Kumar, Kaur and Singh (2011), proposed a new method to find the exact fuzzy optimal solution of full...
Several authors have proposed different methods to find the solution of fully fuzzy linear systems (...
Kaur and Kumar, 2013, use Mehar’s method to solve a kind of fully fuzzy linear programming (FFLP) pr...
The Fuzzy Linear Programming problem has been used as an important planning tool for the different d...
We investigate various types of fuzzy linear programming problems based on models and solution metho...
In a recent paper, Jiménez et al. (2007) propose a ‘general’ and ‘interactive’ method for solving li...
This paper deals with fully fuzzy linear programming (FFLP) problem in which all parameters and vari...
The fully fuzzy linear programming (FFLP) problem has many different applications in sciences and en...
Abstract. There are two interesting methods, is assumed in the literature for solving fuzzy linear p...
Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. L...
Abstract. In this paper we are going to introduce an efficient approach for solving a wide class of ...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...
Several methods currently exist for solving fuzzy linear programming problems under nonnegative fuzz...
There exist several methods for solving fuzzy linear or nonlinear programming problems under positiv...
Abstract: In this paper, a new method for fuzzy variable linear programming problem is proposed. The...
Kumar, Kaur and Singh (2011), proposed a new method to find the exact fuzzy optimal solution of full...
Several authors have proposed different methods to find the solution of fully fuzzy linear systems (...
Kaur and Kumar, 2013, use Mehar’s method to solve a kind of fully fuzzy linear programming (FFLP) pr...
The Fuzzy Linear Programming problem has been used as an important planning tool for the different d...
We investigate various types of fuzzy linear programming problems based on models and solution metho...
In a recent paper, Jiménez et al. (2007) propose a ‘general’ and ‘interactive’ method for solving li...
This paper deals with fully fuzzy linear programming (FFLP) problem in which all parameters and vari...
The fully fuzzy linear programming (FFLP) problem has many different applications in sciences and en...
Abstract. There are two interesting methods, is assumed in the literature for solving fuzzy linear p...
Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. L...
Abstract. In this paper we are going to introduce an efficient approach for solving a wide class of ...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...