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Solving a Solid Transportation Problems Through Fuzzy Ranking

机译:通过模糊排序解决固体运输问题

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摘要

A solid transportation problem (STP) with imprecise cost coefficients is modeled in this paper. The proposed fuzzy STP (FSTP) is optimized by the Vogel approximation method (VAM). For different types of imprecise operations and comparisons in VAM, fuzzy ranking method is used. The proposed FSTP is also converted to a crisp one using fuzzy expectation (mean value) and then solved using generalized reduced gradient (GRG) method. Finally, a numerical illustration is performed to support the methods, and optimum results by two methods are compared.
机译:本文对具有不精确成本系数的固体运输问题(STP)进行了建模。拟议的模糊STP(FSTP)通过Vogel逼近法(VAM)进行了优化。对于VAM中不同类型的不精确运算和比较,使用模糊排名方法。拟议的FSTP也可以使用模糊期望(均值)转换为清晰的FSTP,然后使用广义缩减梯度(GRG)方法求解。最后,进行了数值说明以支持这些方法,并比较了两种方法的最佳结果。

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