چکیده :

Recently Ganesan and Veeramani introduced a new approach for solving a kind of linear programming problems involving symmetric trapezoidal fuzzy numbers without converting them to the crisp linear programming problems. But their approach is not efficient for situations in which some or all variables are restricted to lie within fuzzy lower and fuzzy upper bounds. In this paper, by a natural extension of their approach we obtain some new results leading to a new method to overcome this shortcoming.

کلید واژگان :

Bounded linear programming; fuzzy arithmetic; fuzzy linear programming; fuzzy ordering; trapezoidal fuzzy numbers



ارزش ریالی : 600000 ریال
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