TY - JOUR T1 - Personnel Evaluation and Selection using a Generalized Fuzzy Multi-Criteria Decision Making AU - Tuan, Nguyen Anh JO - International Journal of Soft Computing VL - 12 IS - 4 SP - 263 EP - 269 PY - 2017 DA - 2001/08/19 SN - 1816-9503 DO - ijscomp.2017.263.269 UR - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.263.269 KW - Fuzzy MCDM KW -personnel selection and evaluation KW -centroid index KW -computational process KW -defuzzified AB - This study proposes an extension of fuzzy Multi-Criteria Decision Making (MCDM) method for supporting the personnel selection and evaluation process. In the proposed MCDM method, the ratings of various alternatives versus various subjective criteria and the weights of all criteria are assessed in linguistic terms represented by generalized fuzzy numbers. Then, the weighted fuzzy decision matrix is derived by arithmetic of generalized fuzzy numbers. To make the procedure easier and more practical, the weighted ratings are defuzzified into crisp values by using the most popular ranking approach based on centroid index. Finally, this study applies the proposed fuzzy MCDM method to solve a lecturer selection and evaluation problem, demonstrating its applicability and computational process. ER -