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A generalized equilibrium value-based approach for solving fuzzy transportation problems with triangular fuzzy numbers

机译:一种求解三角形模糊数的模糊运输问题的广义平衡值方法

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Transportation Problem (TP) is one of the most best known operational research problems, which plays an important role in many practical applications. In this paper, we first propose the concept of generalized equilibrium value of fuzzy number, and further give a comparison method for ranking fuzzy numbers, namely GEV-CM; secondly, for Fuzzy Transportation Problem (FTP) where the unit transportation cost is represented by triangular fuzzy number and supplies and demands is real numbers, we convert it into a crisp TP using GEV-CM, which can be easily solved by standard solution methods; thirdly, we show that our methods are efficient in solving the above mentioned FTP through a numerical example. Therefore, our discussions can be widely applied in many real life transportation problems for the decision makers.
机译:运输问题(TP)是最着名的经营研究问题之一,在许多实际应用中起着重要作用。 在本文中,我们首先提出了模糊数的广义均衡值的概念,并进一步给出了对排名模糊数的比较方法,即GEV-CM; 其次,对于模糊运输问题(FTP)通过三角形模糊数和供应和需求来表示单位运输成本和需求是实数,我们使用GEV-CM将其转换为清晰的TP,这可以通过标准解决方案方法轻松解决; 第三,我们表明我们的方法通过数值示例解决了上述FTP。 因此,我们的讨论可以广泛应用于决策者的许多现实生活问题。

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