An Efficient Algorithm for Solving Fuzzy Linear Programming Problems

被引:0
|
作者
M. H. Noori Skandari
M. Ghaznavi
机构
[1] Shahrood University of Technology,Faculty of Mathematical Sciences
来源
Neural Processing Letters | 2018年 / 48卷
关键词
Fuzzy linear programming; Membership function; Efficient solution; Crisp linear programming;
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学科分类号
摘要
In this article, we consider some well-known approaches for solving fuzzy linear programming (FLP) problems. We present some of the difficulties of these approaches. Then, crisp linear programming problems are suggested for solving FLP problems. A new algorithm is also given. The proposed approach has advantages over the other methods. For example, we can achieve higher membership degrees for objective function and constraints. Moreover, we show that the fuzzy optimal solutions obtained by the proposed approach are efficient enough. Also, we see that unlike the previous methods, our method finds efficient solutions by solving only one crisp linear problem instead of solving two or three crisp problems. Finally some numerical examples are presented to show the efficiency of the given approach over the other approaches.
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页码:1563 / 1582
页数:19
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