Development of a complementary fuzzy decision support system for employees’ performance evaluation
Bibliographic Data
| ID | 15068446 |
|---|---|
| Authors | Sabina Mirzaei Nobari (0000-0002-4385-5936, Azerbaijan National Academy of Sciences), Vahidreza Yousefi (University of Tehran), Ehsan Mehrabanfar (0000-0002-7808-3489, Young Researchers and Elites Club, North Tehran Branch, Islamic Azad University, Tehran, Iran, corresponding author), Amir Hossein Jahanikia (Payame Noor University), Amir Mohammad Khadivi (Financial Law, Science and Research Branch, Islamic Azad University, Tehran, Iran) |
| Year | 2019 |
| Volume | 32 |
| Issue | 1 |
| Pages | 492-509 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2018.1556106 |
| OpenAlex | W2939348946 |
| Language | EN |
| Citations received | 2 |
| References cited | 17 |
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 automobile company instead of the traditional method
Fuzzy logic · Operations management · Operations research · TOPSIS · Computer Science · Engineering · Fuzzy Logic and Control Systems · Mathematics · Multi-Criteria Decision Making · Artificial Intelligence
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| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2022 (2) |
| Highly cited | No |