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Bector-Chandra Type Duality in Linear Programming Under Fuzzy Environment Using Hyperbolic Tangent Membership Functions

机译:Bector-Chandra在模糊环境下使用双曲线切线隶属函数的线性编程型二元性

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摘要

In this article, a pair of primal-dual problems of linear programming are presented under a fuzzy environment. The appropriate duality results are established using aspiration level approach. This study uses the hyperbolic tangent membership functions to represent fulfilment of the decision maker's degree of satisfaction in contrast to available literature which relied on linear membership functions. The solutions obtained from the use of hyperbolic tangent membership functions are elicited through a comparison of solutions obtained by employing linear membership functions. The demonstration of approach and verification of results is presented through numerical examples.
机译:在本文中,在模糊环境下呈现了线性编程的一对原始双重问题。 使用抽吸水平方法建立适当的二元性结果。 本研究采用双曲线切线成员职能来表示符合线性会员职能的可用文献的决策者对决策者的满意度。 通过使用通过采用线性隶属函数获得的溶液,引发了从使用双曲线切线隶属函数的溶液。 通过数值例子提出了方法的示范和结果验证。

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