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A new fuzzy weighted average (FWA) method based on left and right scores: An application for determining a suitable location for a gas oil station

机译:一种基于左右得分的新的模糊加权平均(FWA)方法:确定加油站合适位置的应用

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摘要

The selection of a facility location from alternative locations is a multiple criteria decision making (MCDM) problem including both quantitative and qualitative criteria. In many real-life cases, determining the exact values for MCDM problems, and especially for facility location selection problems, is difficult or impossible, so the values of alternatives with respect to the criteria or/and the values of criteria weights are considered as fuzzy values (fuzzy numbers) such that the conventional crisp approaches for solving facility location selection problems and other MCDM problems tend to be less effective for dealing with the imprecise or vagueness nature of the linguistic assessments. In such conditions, fuzzy MCDM methods are applied for facility location selection problem and other fuzzy MCDM problems. In this paper, we propose a new fuzzy weighted average (FWA) method based on left and right scores for fuzzy MCDM problems. Moreover, we apply the proposed method to a real application. As a result, we found that the proposed method is practical for facility location selection problems. Besides, it seems that the proposed FWA method is very accurate, flexible, simple, and easy to use when compared to other versions of the FWA method.
机译:从替代位置选择设施位置是一个多标准决策(MCDM)问题,包括定量和定性标准。在许多实际情况中,很难或不可能确定MCDM问题(尤其是设施位置选择问题)的准确值,因此,关于标准的替代值或/和标准权重的值被认为是模糊的值(模糊数),以至于解决设施位置选择问题和其他MCDM问题的传统明快方法在处理语言评估的不精确性或模糊性方面往往不太有效。在这种情况下,将模糊MCDM方法应用于设施选址问题和其他模糊MCDM问题。在本文中,我们针对模糊MCDM问题提出了一种基于左右得分的模糊加权平均(FWA)方法。此外,我们将提出的方法应用于实际应用。结果,我们发现所提出的方法对于设施位置选择问题是实用的。此外,与其他版本的FWA方法相比,所提出的FWA方法似乎非常准确,灵活,简单且易于使用。

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