EVALUATION OF SOCIAL DEVELOPMENT PERFORMANCES USING THE ENTROPY-BASED GRAY RELATIONAL ANALYSIS METHOD: G7 GROUP COUNTRIES EXAMPLE

Abstract

Measuring the social development performances of countries in order to create awareness about the social development performances of the countries themselves and each other has a very important effect on the quality social policies of the countries. In this context, the first aim of the study is to calculate the significance levels of the components that make up the Social Development Index for 2020 according to the G7 group countries using the Entropy method. The second aim of the study is to determine the social development performances of these countries with the Entropy-based Gray Relational Analysis method. Finally, the third purpose of the study is to measure the relationships between the Social Development Index values of the countries and the social development performance values of the countries determined within the scope of Entropy-based GIA, MAUT, WASPAS, COPRAS, EDAS, ARAS and TOPSIS Multi-Criteria Decision Making methods. Based on the findings, it was determined that the most important component of the Social Development Index according to the G7 group countries is inclusiveness. According to the Entropy-based Gray Relational Analysis method, the social development performances of the countries are ranked as Canada, Japan, Germany, France, Italy, United Kingdom and USA. Within the scope of the research, it was found that the Social Development Index values of the countries provided the most relationship with the values determined as a result of the Gray Relational Analysis method within the framework of the mentioned Entropy-based Multi-Criteria Decision Making techniques. Therefore, it has been concluded that Social Development Index can be explained in general terms with the Gray Relational Analysis method.