An intuitionistic fuzzy VIKOR model for student-employee selection in universities


Doç. Dr. Gültekin Altuntaş
İstanbul Üniversitesi Ulaştırma ve Lojistik Fakültesi, Lojistik Anabilim Dalı

Dr. Bahadır Fatih Yıldırım
İstanbul Üniversitesi Ulaştırma ve Lojistik Fakültesi, Lojistik Anabilim Dalı

Doç. Dr. Ebru Demirci
İstanbul Üniversitesi Ulaştırma ve Lojistik Fakültesi, Lojistik Anabilim Dalı


This study aims to propose an MCDM approach for a real case in a group decision-making environment where intuitionistic fuzzy (IF) VIKOR method with seven criteria developed and evaluated by a group of three scholars has been applied to nine candidates for a part time student employee selection problem in a state university from an emerging country with the highest rate of dropouts in 2019 mainly due to financial burdens associated with the higher education. It reveals that the supervisors advice is the most important criterion to be employed as a student to work part time while his/her competencies are the second most one. The criteria regarded as the lowest level of importance have been determined as his/her family/roommate(s) support and income level. Based on such criteria, the candidate of A1 is regarded as the most suitable one.

Keywords: Employee Selection, Intuitionistic Fuzzy, MCDM, Personnel Selection, Student Employment, VIKOR

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    Altuntaş, G., Yıldırım, B. F., Demirci, E. (2021). "An intuitionistic fuzzy VIKOR model for student-employee selection in universities". International Journal of Management and Decision Making, 0 (0), 1-27.