Individuals reach decisions at every moment of their daily lives. They become happy as long as the benefit of these decisions is above their cost. If real life worked under a complete information... Show More

Individuals reach decisions at every moment of their daily lives. They become happy as long as the benefit of these decisions is above their cost. If real life worked under a complete information hypothesis, all the individuals would live happily forever. In this situation, correct decision making becomes a very important subject for the individuals. There are many decision-making methods. There is no general consensus as to which one of them gives the best solution. Instead, it is suggested to conduct sensitivity analysis in the issue of the reliability of the MCDM methods or comparison to another method. In this study, it has been aimed to compare EDAS and COPRAS methods. For this, the results obtained from EDAS method have been compared to COPRAS and EFI methods. All three methods give the same performance results. The found results are statistically significant. This result supports the strong relationship existing among MCDM methods