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Skip to Search Results- 5Fayek, Aminah Robinson
- 5Kedir, Nebiyu Siraj
- 2Raoufi, Mohammad
- 2Somi, Sahand
- 1Hao, Yajie
- 1Nguyen, Phuong
- 2Agent-based modeling
- 2Decision making
- 2Graph embedding
- 2Multi-criteria decision-making
- 2Optimization
- 2Planning
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Consensus building and optimization in group decision-making for the risk assessment of Wind Farm Project
Download2020-01-01
Hao, Yajie, Kedir, Nebiyu Siraj, Seresht, Nima Gerami, Pedrycz, Witold, Fayek, Aminah Robinson
Infrastructure projects for harnessing renewable energy (e.g., wind farm projects) have recently gained popularity because of their low adverse impact on the environment. However, it is challenging to perform risk assessments for these projects because data are either scarce or of low quality....
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Fuzzy Agent-Based Multicriteria Decision-Making Model for Analyzing Construction Crew Performance
Download2020-01-01
Kedir, Nebiyu Siraj, Raoufi, Mohammad, Fayek, Aminah Robinson
Selecting economically feasible policies for maximizing crew motivation and performance is a multifaceted problem, and each aspect of the process poses considerable unique challenges for construction practitioners. Fuzzy agent-based modeling (FABM) addresses some of the challenges of predicting...
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Hybridization of Reinforcement Learning and Agent-Based Modeling to Optimize Construction Planning and Scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
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Hybridization of reinforcement learning and agent-based modeling to optimize construction planning and scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong H.D.
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
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Integrating fuzzy agent-based modeling and multi-criteria decision-making for analyzing construction crew performance
Download2019-01-01
Kedir, Nebiyu Siraj, Raoufi, Mohammad, Fayek, Aminah Robinson
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...