A New Method for Measuring the Performance of Alternatives: Cosine Similarty Approach

The development of new methods within the scope of Multi-Criteria Decision Making (MCDM) provides decision-makers with alternative solution approaches in various scenarios, enabling more flexible and effective decision-making processes. This study aims to demonstrate the applicability of a newly proposed method based on cosine Similarty (Cosine Similarty Approach) for evaluating the performance of alternatives in selection problems. The proposed method was tested using the criterion values of seven selected countries from the Global Innovation Index-2024, and the necessary measurements were conducted accordingly. A review of the literature revealed that no prior studies have been conducted based on cosine Similarty, establishing the originality of this research. The findings indicate that the proposed method is ideal in terms of sensitivity analysis, reliable and consistent in comparative analysis, and robust and stable in simulation analysis. In this context, the proposed method is concluded to be a practical and applicable tool for decision-makers in solving selection problems.