Z-numbers Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation

Abstract

Personnel evaluation and selection problem is an essential part of modern business. The appro-priate candidate selection can significantly benefit companies in terms of increased profit, good culture, reputation, reduced costs, etc. This paper addresses the personnel evaluation and selection problem at the University of Pardubice, Faculty of Transport Engineering (UPCE). Since this is a typical ranking alternative problem where multiple criteria affect the decision, Z-numbers based Alternative Ranking Order Method Accounting for the two-step Normalization (AROMAN) is applied. Four Ph.D. candidates are assessed, and the most appropriate is selected to be employed by the UPCE. The Z-numbers fuzzy AROMAN method ranks Ph.D. candidate number four as the best alternative. To investigate the stability and sensitivity of the Z-number fuzzy AROMAN method, the values of parameters β and λ used in the mathematical calculations of the method were changed. The results of sensitivity analysis reveal that the obtained solution is stable. To confirm the robustness of the proposed approach, a comparative analysis is performed. Simple Additive Weighting (SAW), Weighted Product Model (WPM), and Z-number fuzzy TOPSIS were applied. The results confirm the high robustness of the proposed Z-number fuzzy AROMAN method.