Decision support system based on genetic algorithm and multi-criteria satisfaction analysis (MUSA) method for measuring job satisfaction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/content/pdf/10.1007/s10479-016-2154-z.pdf
Reference63 articles.
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3. Aouadni, I., Rebaï, A., Christodoulakis, N., & Siskos, Y. (2014). Job satisfaction measurement: The multi-criteria satisfaction analysis. International Journal of Applied Decision Sciences, 7(2), 190–207.
4. Arqub, O. A., & Abo-Hammour, Z. (2014). Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm. Information Sciences, 279, 396–415.
5. Aslan, A. S., Shaukat, M. Z., Ahmed, I., Shah, I. M., & Mahfar, M. (2014). Job satisfactions of academics in Malaysian public universities. Procedia-Social and Behavioral Sciences, 114, 154–158.
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