Add to ORKGAbstract:- In the real-world optimization problems, coefficients of the objective function are not known precisely and can be interpreted as fuzzy numbers. In this paper we define the concepts of optimality for linear programming problems with fuzzy parameters (FLP). Then by using the concept of comparison of fuzzy numbers we transform FLP problem into a multiobjective linear programming (MOLP) problem. To this end, we propose several theorems which are used to obtain optimal solutions of FLP. Finally an example is given to illustrate the proposed method of solving linear programming problem with fuzzy parameters (FLP). Key-Words:- Linear optimization; Fuzzy number; Ranking function; Multiobjective linear program-ming
The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming....
This paper proposes the method to the solution of multi objective linear programming problems in fuz...
Abstract: In this paper, a new method for fuzzy variable linear programming problem is proposed. The...
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Some illustrative examples are provided to identify the ineffective and unrealistic characteri...
In a recent paper, Jiménez et al. (2007) propose a ‘general’ and ‘interactive’ method for solving li...
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Linear programming (LP) is an optimisation technique most widely used for optimal allocation of limi...
We investigate various types of fuzzy linear programming problems based on models and solution metho...
This study considers multiobjective fuzzy linear programming (MFLP) problems in which the coefficien...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...
Multiple conflicting objectives in many decision making problems can be well described by multiple o...
Abstract: A new method for solving fuzzy variable linear programming problems directly using linear ...
ABSTRACT This paper deals with a fuzzy linear programming problem where the fuzzy coefficient invol...
Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. Whe...
The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming....
This paper proposes the method to the solution of multi objective linear programming problems in fuz...
Abstract: In this paper, a new method for fuzzy variable linear programming problem is proposed. The...
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Some illustrative examples are provided to identify the ineffective and unrealistic characteri...
In a recent paper, Jiménez et al. (2007) propose a ‘general’ and ‘interactive’ method for solving li...
Kaur and Kumar, 2013, use Mehar’s method to solve a kind of fully fuzzy linear programming (FFLP) pr...
Linear programming (LP) is an optimisation technique most widely used for optimal allocation of limi...
We investigate various types of fuzzy linear programming problems based on models and solution metho...
This study considers multiobjective fuzzy linear programming (MFLP) problems in which the coefficien...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...
Multiple conflicting objectives in many decision making problems can be well described by multiple o...
Abstract: A new method for solving fuzzy variable linear programming problems directly using linear ...
ABSTRACT This paper deals with a fuzzy linear programming problem where the fuzzy coefficient invol...
Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. Whe...
The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming....
This paper proposes the method to the solution of multi objective linear programming problems in fuz...
Abstract: In this paper, a new method for fuzzy variable linear programming problem is proposed. The...