DETERMINATION OF LIVABILITY LEVEL OF SOUTH AMERICA COUNTRIES VIA ENTROPY METHOD AND MULTIMOORA METHOD

Abstract

The aim of the study is to determine which of the livability criteria are more important and which of the livability criteria are less important by applying ENTROPY Method and MULTIMOORA Method from multi-criteria decision making methods for South American countries and to determine the livability levels of the countries we have selected. For this purpose, Argentina, Brazil, Colombia, Chile, Peru and Uruguay were identified as alternatives. The main performance criteria were determined with the help of literature research for the study. After this stage, the values obtained by these eight countries in the determined criteria were obtained as the secondary data. The criteria that had an impact on the identified alternatives were selected as the Inflation Rate, Gross Domestic Product, Average Academic Year, House Price Income Ratio in Property Prices, Unemployment Rate and Expected Life Expectancy at Birth criteria. In this study, the liveability levels of the countries were determined by using Entropy and MOORA methods as an integrated method. Entropy Method can be evaluated in the category of objective weight calculation methods in the literature. Therefore, since the economic performance criteria and the human development index performance criteria are objective data, it was determined which criteria are important for the livability levels of countries by applying Entropy Method. MULTIMOORA Method is a method used to verify and provide the results of MOORA Methods. Therefore, MULTIMOORA Method was chosen to determine the livability levels of the countries in our study. When Entropy Method was applied to the data, it was observed that Gross Domestic Product was the most important criterion, whereas Price Income Ratio in Property Prices was the least important criterion. After determining the importance levels of the criteria, the livability levels of countries were determined by MULTIMOORA method. According to the results of the method, it was observed that the level of liveability in Brazil is the best and the level of liveability in Uruguay is the lowest.