Purpose- The main aim of the study is to compare ARAS and MOOSRA performance results. For this, 2020 macroeconomic data of 31 countries in the Americas were used. Methodology- In the study, CRITIC and ENTOPY methods were applied as weighting criteria with ARAS and MOOSRA methods. Findings- Three important results were obtained from the application phase. First, the ARAS method with CRITIC and ENTOPY weighting criteria gives very close results in performance ranking. Therefore, in a study using ARAS method, there is no problem of selection between weighting criteria. Second, the MOOSRA method with CRITIC and ENTOPY weighting criteria gives very close results in performance ranking. Therefore, in a study using the MOOSRA method, there is no selection problem between the weighting criteria. Thirdly, ARAS and MOOSRA methods are very close to each other, performance ranking results. Conclusion- Accordingly, the question of which of the two methods to choose in eliminating the multi-criteria decision making problem is eliminated. The results found are statistically significant.
Multicriteria decision-making (MCDM), CRITIC, ENTROPY, ARAS, MOOSRA