NEDENSELLİK ANALİZİ VE GRİ İLİŞKİSEL ANALİZ İLE PERFORMANS SIRALAMASI: G20 ÜLKELERİ ÜZERİNE BİR ÇALIŞMA
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In this thesis study, it is aimed to measure and rank the economic performances of countries by using the basic economic parameters specified in the study by using Gray Relational Analysis (GRA) method, which is one of the Multi Criteria Decision Making (MCDM) methods. The parameters that can determine the economic performance of the countries in order to determine the weights of the variables during the application of the GRA method is analyzed by using correlation coefficients and Granger causality analysis to establish economic correlation maps and causality matrices for each country. For this, economic parameters of G20 countries are used in practice. Using these maps and matrices, the main variables that will reveal the economic performances of the countries and the weights to be used for GRA are determined. With the Gray Relational Degree (GRD), which will ultimately represent the economic performance of countries, economic performances are compared and ranked against each other.