Add to ORKGA fuzzy concept of solving the linear programming problem with interval coefficients is proposed. For each optimism level of the decision maker (where the optimism concerns the certainty that no errors have been committed in the estimation of the interval coefficients and the belief that optimistic realisations of the interval coefficients will occur) another interval solution of the problem will be generated and the decision maker will be able to choose the final solution having a complete view of various possibilities.interval linear programming, fuzzy solution
This article clarifies what it means to solve a system of fuzzy linear equations, relying on the fac...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
AbstractIn this paper, we discuss the softness and the robustness of the optimality in the setting o...
An efficient method to handle the uncertain parameters of a linear programming (LP) problem is to ex...
In a recent paper, Jiménez et al. (2007) propose a 'general' and 'interactive' method for solving li...
This paper shows a method for solving linear programming problems that includes Interval Type-2 fuzz...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Two types of fuzzy linear programming i.e. fuzzy number linear programming and interval number linea...
Linear programming with fuzzy information is a continuous field of researches in uncertain programmi...
In our day to day activities modeling and solving of an optimization problem is one of the most impo...
The first author would like to appreciate from the research grant of University of Mazandaran. The r...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...
The system of linear equation has a great importance in many real life problem such as economics, Op...
This article investigates the consistency of interval fuzzy preference relations based on interval a...
This article clarifies what it means to solve a system of fuzzy linear equations, relying on the fac...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
AbstractIn this paper, we discuss the softness and the robustness of the optimality in the setting o...
An efficient method to handle the uncertain parameters of a linear programming (LP) problem is to ex...
In a recent paper, Jiménez et al. (2007) propose a 'general' and 'interactive' method for solving li...
This paper shows a method for solving linear programming problems that includes Interval Type-2 fuzz...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Two types of fuzzy linear programming i.e. fuzzy number linear programming and interval number linea...
Linear programming with fuzzy information is a continuous field of researches in uncertain programmi...
In our day to day activities modeling and solving of an optimization problem is one of the most impo...
The first author would like to appreciate from the research grant of University of Mazandaran. The r...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...
The system of linear equation has a great importance in many real life problem such as economics, Op...
This article investigates the consistency of interval fuzzy preference relations based on interval a...
This article clarifies what it means to solve a system of fuzzy linear equations, relying on the fac...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
AbstractIn this paper, we discuss the softness and the robustness of the optimality in the setting o...