Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2018.1556106
Development of a complementary fuzzy decision support system for employees’ performance evaluation
Sabina Mirzaei Nobari
; Institute of Information Technologies, Azerbaijan National Academy of Sciences, Baku, Azerbaijan
Vahidreza Yousefi
; University of Tehran, Tehran, Iran
Ehsan Mehrabanfar
; Young Researchers and Elites Club, North Tehran Branch, Islamic Azad University, Tehran, Iran
Amir Hossein Jahaniki
; Department of Management, Payame Noor University, Tehran, Iran
Amir Mohammad Khadivi
; Financial Law, Science and Research Branch, Islamic Azad University, Tehran, Iran
Sažetak
This study aims to improve employee evaluation system in one of the leading automobile manufacturers in Iran by designing a fuzzy decision support system (F.D.S.S.). Since this manufacturer is a large-sized company with over 35,000 employees, the number of managers regularly evaluated requires too much capacity from the human resource team and hence increases the rate of possible misjudgements. However, the proposed F.D.S.S. can reduce the rate of unfair or inconsistent assessments by converting qualitative assessments of the panel to linguistic variables. This action increases the precision of assessment and improves the quality of evaluations. The proposed F.D.S.S. is compared with a fuzzy TOPSIS method to confirm its reliability and validity in which the results show consistency with fuzzy TOPSIS. As a result, the F.D.S.S. is implemented for evaluation of managers in this auto-mobile company instead of the traditional method.
Ključne riječi
Employee evaluation; fuzzy logic; fuzzy decision support systems; fuzzy TOPSIS
Hrčak ID:
228585
URI
Datum izdavanja:
22.1.2019.
Posjeta: 885 *