Some new results in linear programs with trapezoidal fuzzy numbers: Finite convergence of the Ganesan and Veeramani's method and a fuzzy revised simplex method

被引:26
|
作者
Ebrahimnejad, A. [1 ]
机构
[1] Islamic Azad Univ, Qaemshahr Branch, Dept Math, Qaemshahr, Iran
关键词
Fuzzy linear programming; Fuzzy primal simplex algorithm; Ranking; Trapezoidal fuzzy number; DUALITY;
D O I
10.1016/j.apm.2011.03.021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In a recent paper, Ganesan and Veermani [K. Ganesan, P. Veeramani, Fuzzy linear programs with trapezoidal fuzzy numbers, Ann. Oper. Res. 143 (2006) 305-315] considered a kind of linear programming involving symmetric trapezoidal fuzzy numbers without converting them to the crisp linear programming problems and then proved fuzzy analogues of some important theorems of linear programming that lead to a new method for solving fuzzy linear programming (FLP) problems. In this paper, we obtain some another new results for FLP problems. In fact, we show that if an FLP problem has a fuzzy feasible solution, it also has a fuzzy basic feasible solution and if an FLP problem has an optimal fuzzy solution, it has an optimal fuzzy basic solution too. We also prove that in the absence of degeneracy, the method proposed by Ganesan and Veermani stops in a finite number of iterations. Then, we propose a revised kind of their method that is more efficient and robust in practice. Finally, we give a new method to obtain an initial fuzzy basic feasible solution for solving FLP problems. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:4526 / 4540
页数:15
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