摘要：Background: Logistics is vital for the trades of countries. The inputs such as raw materials and energythat is needed for production and also the outputs of these processes are transported and distributed effectively as a resultof an efficient logistics process. In order to measure the logistics performance of countries, The World Bank (WB) ispublishing an index entitled Logistics Performance for every two years.Methods: The main value of this study is to provide logistics performance scores of the selected countries for a selectedtime period. Thus, periodic evaluations can be done for a selected time period. The grey numbers are used fordetermining a new dataset for a time period and implement to Complex Proportional Assessment of Alternatives(COPRAS) method. 28 European Union (EU) member states plus 5 EU Candidate Countries are ranked by using theCOPRAS-Grey (COPRAS-G) method according to their logistics performance scores. In order to see if the rankingcalculated by COPRAS-G is representing the past index data, the bilateral comparisons of the rankings are investigatedby using the Spearman Rank and Kendall’s Tau Correlation methods.Results: The results showed that the dataset obtained by using grey numbers represent the LPI scores of the countries forthe selected time period. Although there are slight differences between the Spearman and Kendall correlationcoefficients, the ultimate result is the same. The ranking calculated by COPRAS-G has the strongest relationship with allrankings published by WB.Conclusions: By using the grey numbers combined with the COPRAS-G method, the LPI of Countries can be evaluatedfor a time period.
