Abstract Countries can check the performance of their logistics’ activities to determine their competitiveness in trade logistics. One way to check these performances is to analyze the country’s LPI value in detail which is released by the WB every two years. When calculating the LPI, six indicators (criteria) are taken into account. The weights (importance level) of these criteria are important for countries which would like to focus more on the most important criteria and move their ranking up in the LPI list. However the WB takes into account indicators (criteria) weights equally when calculating LPI values. In order to overcome this problem some studies have used subjective weighting methods and others have used objective weighting methods. Both methods have advantages and disadvantages. The aim of this study is to integrate two weighting methods (subjective (SWARA) and objective (CRITIC)) in determining the weights of criteria in order to balance the two weighting methods. Unlike other studies in the literature this study combines two weighting methods. Additionally the PIV method, which is seldom used to address any MCDM problem, is used in this study and a new integrated MCDM model is introduced to literature. In this respect this study contributes to the literature.

中文翻译：

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集成MCDM模型对欧盟国家物流绩效指数的分析

摘要各国可以检查其物流活动的表现，以确定其在贸易物流中的竞争力。检查这些绩效的一种方法是详细分析该国的LPI值，该值由世界银行每两年发布一次。在计算LPI时，要考虑六个指标（标准）。这些标准的权重（重要性水平）对于希望更多地关注最重要标准并在LPI列表中排名更高的国家很重要。但是，WB在计算LPI值时会平等地考虑指标（标准）的权重。为了克服这个问题，一些研究使用了主观加权方法，而另一些研究则使用了客观加权方法。两种方法都有优点和缺点。这项研究的目的是在确定标准权重时整合两种加权方法（主观（SWARA）和客观（CRITIC）），以平衡两种加权方法。与文献中的其他研究不同，本研究结合了两种加权方法。另外，本研究中很少使用PIV方法来解决任何MCDM问题，并且将一种新的集成MCDM模型引入文献中。在这一方面，这项研究为文献做出了贡献。在这项研究中使用了新的集成化MCDM模型。在这一方面，这项研究为文献做出了贡献。在这项研究中使用，并且将新的集成MCDM模型引入文献。在这一方面，这项研究为文献做出了贡献。