Part-time student selection problem with a novel hybrid approach based on DEMATEL modified ANP and MULTIMOORA methods

This study proposes a hybrid approach for selecting students to employ part-time within the various departments of a university. There are both qualitative and quantitative criteria for selecting students. To ensure a subjective assessment in the decision-making process, this study suggests developing a DEMATEL-modified ANP and MULTIMOORA. An empirical case study at the Metallurgical and Materials Engineering Department in Turkey was put forward to test the effectiveness of the proposed decision-making method, which provided an unbiased selection using three main and seven subcriteria. These criteria were determined per the commission members' previous experience and the principles listed in the Administration Guideline of the university. One of five candidates was selected using the novel hybrid approach. From the obtained results, all scenarios with the sensitivity analysis based on the changing decision makers' weights and the changing dimension weights indicate that the S3 student remains the most preferred alternative, and the S4 student the most suitable alternative, respectively.