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A Method For Solving Balanced And Unbalanced Trapezoidal Intuitionistic Fuzzy Assignment Quandary

机译:一种求解平衡和不平衡梯形直觉模糊分配的方法

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In this paper, we discuss Trapezoidal intuitionistic fuzzy assignment quandary(TrIFAP). In classical assignment quandary, Cost always remains same. But, here we develop an method to solve Trapezoidal intuitionistic fuzzy assignment quandary where cost is not deterministic numbers but infelicitous ones. Here, the costs(profits) matrix have all the elements they are TrIFN and others have been immensely colossal demonstration against the classical method. Then its trapezoidal membership and non-membership functions are defined. In general compare the findings from different methods attested the same picture. Numerical examples show that an intuitionistic fuzzy ranking method is very efficacious and utilizable method for handling a TrIFAP.
机译:在本文中,我们讨论了梯形直觉模糊作业Quandard(Trifap)。 在古典分配码头中,成本始终保持不变。 但是,在这里,我们开发了一种解决梯形直觉模糊分配的方法,其中成本不是确定性的数字而是缺陷的。 在这里,成本(利润)矩阵具有它们是Trifn的所有元素,而其他元素则对古典方法进行了非常巨大的巨大演示。 然后定义了其梯形成员和非隶属函数。 通常比较不同方法的发现证明了相同的图片。 数值示例表明,直觉模糊排名方法是处理TRIFAP的非常有效和可利用的方法。

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