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A Novel Fuzzy Approach for Manager Selection in Organizations Through Multi Agent Simulation with Personal Characteristics

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Abstract

The topic of project management success is critical since its failure removes all levels of organizational resources. One of the drawbacks in most organizations and cooperative teams regarding manager selection is lack of a proper model in ranking the candidate qualification. In this study, a novel fuzzy approach is applied to select competent project manager. In this model the human personality traits, emotional and cognitive features are considered as fuzzy parameters and are applied in selecting the best manager. The Repast software, a multi-agent simulator, is applied in this model. The findings indicate that managers selected with this approach are considered qualified by the given organization.

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Correspondence to Paria Shams Ghahfarokhi .

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Shams Ghahfarokhi, P., Ghasem Aghaee, N., Taheri, E. (2018). A Novel Fuzzy Approach for Manager Selection in Organizations Through Multi Agent Simulation with Personal Characteristics. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-66824-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66823-9

  • Online ISBN: 978-3-319-66824-6

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