Combining Fuzzy AHP-Fuzzy COPRAS Model for Personnel Selection: A Case Study

Mohammad Reza Fathi, Leila Amereh, Mohammad Hasan Maleki

Abstract


The main purpose of this study is to propose a suitable model for Personnel Selection based on fuzzy multiple criteria decision making (MCDM) methods. In this paper, the weights of each criterion are calculated using Fuzzy AHP. After that, Fuzzy COPRAS is utilized to rank the alternatives. Then we select the best Personnel based on these results. The outcome of this research is ranking and selecting Personnel with the help of Fuzzy AHP and Fuzzy COPRAS techniques. This paper offers a new integrated method for Personnel selection.


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