Development of a complementary fuzzy decision support system for employees’ performance evaluation
| Autor: | Ehsan Mehrabanfar, Amir Mohammad Khadivi, Amir Hossein Jahanikia, Vahidreza Yousefi, Sabina Mirzaei Nobari |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Economics and Econometrics
Evaluation system Operations research Computer science Fuzzy topsis ComputerApplications_COMPUTERSINOTHERSYSTEMS Fuzzy decision support system lcsh:Regional economics. Space in economics Fuzzy logic lcsh:HD72-88 lcsh:HT388 lcsh:Economic growth development planning Development (topology) fuzzy topsis employee evaluation Employee evaluation fuzzy logic fuzzy decision support systems fuzzy TOPSIS ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Ekonomska Istraživanja, Vol 32, Iss 1, Pp 492-509 (2019) Economic research-Ekonomska istraživanja Volume 32 Issue 1 |
| ISSN: | 1848-9664 1331-677X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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