in determining the membership of an element to a set. There are few studies on hesitant fuzzy linear programming problems; therefore in this paper, we have studied such problems. For this purpose, at first the motivation of the paper is explained, then types...

We classify some important types of fuzzy linear programming problems based on the models or the solution methods. First, review fuzzy

linear programming problems with fuzzy decision variables and associated duality problems. Then, we explore...

A new neural network model for solving fuzzy shortest path problem is proposed. We solved the neural network model with Euler method. This model can be applied for solving any fuzzy linear programming problem with fuzzy coefficients in objective...

This paper proposes a new energy management scheduling model for optimizing operation costs of a non-isolated micro-grid. It's assumed that the micro-grid includes some renewable energy resources like wind turbines and ...

To solve a fuzzy linear program, we need to compare fuzzy numbers. Here, we make use of our recently proposed modified Kerre\\\\\\'s method for comparison of LR fuzzy numbers. We give some new results on LR fuzzy numbers and show that to compare two...

Abstract: In this paper, we concentrate on linear programming problems in which both the right-hand side and the technological coefficients are fuzzy numbers.We consider here only the case of fuzzy numbers with linear ...

the decision boundary by means of a fuzzy linear programming approach with fuzzy resources. The method proposed has low computational complexity because of its linear characteristics and the ability to deal with noisy data with different degrees of tolerance...

We want to solve fuzzy linear programming problems with fuzzy coefficients in the objective function using a new variable neighborhood search algorithm. In our proposed algorithm, the local search is defined based on descent directions.We make use...