Improving the Quality of Assessment of Managers in Assessment and Development Centers Using the TOPSIS Method Developed With Hexagonal Fuzzy Numbers

 Evaluating employees and managers as the most important assets of the organization requires a method which considers the uncertainty and complexity in the judgment and decision-making process. Thus, in this research, an attempt has been made to improve the quality and validity of human capital evaluation results with the help of new evaluation methods.

In the past studies, triangular and trapezoidal fuzzy numbers have generally been used in multi-criteria decision-making methods, but in recent years, higher-order fuzzy numbers have also been introduced in the multi-criteria decision-making literature. In this study, the fuzzy TOPSIS method with hexagonal numbers is proposed to evaluate managers.

The use of the fuzzy TOPSIS approach with hexagonal numbers in the evaluation and development centers of managers' competencies improves the quality of converting the subjective judgments of evaluators into quantitative numbers and while reducing the ambiguity and complexity of the evaluation process, it makes it possible to perform calculations with more accuracy and quality.

The results suggest that in complex and important processes such as the evaluation of managers, which has a great impact on other human resource systems and organizational productivity, the use of high-order fuzzy numbers along with multi-criteria decision-making methods can increase the validity of the evaluation results and promote meritocracy in the organization.