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  -