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

Serdar Yarlikas, Ege Sonugelen
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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. Keywords: Multi-Criteria Decision Making Methods, ENTROPY Method, MOORA Method, MULTIMOORA Approach, Economic Performance Criteria, Human Development Index Performance Criteria
用熵值法和多莫拉法测定南美国家宜居水平
本研究的目的是通过应用南美国家多标准决策方法中的熵值法和MULTIMOORA方法,确定哪些宜居标准更重要,哪些宜居标准不那么重要,并确定我们所选择的国家的宜居水平。为此目的,已确定阿根廷、巴西、哥伦比亚、智利、秘鲁和乌拉圭为备选国。通过文献研究确定了本研究的主要绩效标准。在这一阶段之后,这八个国家在确定的标准中获得的值作为次要数据。对确定的替代方案有影响的标准被选择为通货膨胀率,国内生产总值,平均学年,房价收入占房地产价格的比例,失业率和出生时预期寿命标准。在本研究中,采用熵和MOORA方法作为综合方法来确定各国的宜居水平。在文献中,熵值法属于客观权重计算方法的范畴。因此,由于经济绩效标准和人类发展指数绩效标准是客观数据,因此采用熵值法确定哪些标准对国家的宜居水平重要。MULTIMOORA方法是一种用于验证和提供MOORA方法结果的方法。因此,我们选择MULTIMOORA方法来确定研究中国家的宜居水平。当熵值法应用于数据时,可以观察到国内生产总值是最重要的标准,而房价中的价格收入比是最不重要的标准。在确定这些标准的重要程度后,通过MULTIMOORA方法确定各国的宜居程度。根据该方法的结果,巴西的宜居水平最好,乌拉圭的宜居水平最低。关键词:多准则决策方法、熵值法、MOORA法、MULTIMOORA法、经济绩效准则、人类发展指标绩效准则
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