Integrating fuzzy agent-based modeling and multi-criteria decision-making for analyzing construction crew performance
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Kedir, N. S., Raoufi, M., & Fayek, A. Robinson. (2019). Integrating fuzzy agent-based modeling and multi-criteria decision-making for analyzing construction crew performance. Proceedings, 2019 ASCE International Conference on Computing in Civil Engineering, Atlanta, GA, June 17–19. 8 pp. https://doi.org/10.1061/9780784482421.072.
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Construction practitioners face considerable challenges when selecting economically feasible policies for maximizing crew motivation and performance. This paper proposes a methodology for integrating fuzzy agent-based modeling (FABM) with multi-criteria decision-making (MCDM) to develop a decision support system, which takes into account the complex relationships and social interactions between crews and crew members. This decision support system both accounts for the dynamic construction environment and captures the subjective and the objective factors that influence crew motivation and performance. The proposed methodology and decision support system are illustrated with a case study, which demonstrates that integration of FABM with MCDM serves to address subjective uncertainty when analyzing different policies related to crew motivation and performance. These findings can in turn help construction practitioners adopt economically feasible strategies to improve the motivation and performance of their crews, thus increasing their competitiveness in the market.
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http://purl.org/coar/resource_type/R60J-J5BD
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© ASCE This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/9780784482421.072
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en