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Enhanced Model Tree Application Framework for Developing Interpretable AI in Construction Engineering
DownloadFall 2020
The construction industry has been and continues to be overflown with data. Scholars have no problems dealing with this phenomenon through the incorporation of artificial intelligence (AI) methods like neural networks or random forests. However, when the time comes to practical application, the...
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2018-01-01
Raoufi, Mohammad, Fayek, Aminah Robinson
Recently, agent-based modeling (ABM) has been used to model construction processes and practices because it is capable of handling some of the complexities that arise from the interactions of system components. However, ABM alone cannot take into account the subjective uncertainty that exists in...
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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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2020-03-01
Raoufi, Mohammad, Fayek, Aminah Robinson
The use of agent-based modeling (ABM) in the analysis of construction processes and practices has increased significantly over the last decade. However, the developed models are not able to address both random and subjective uncertainties that exist in many construction processes and practices....
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Hybrid fuzzy Monte Carlo agent-based modeling of workforce motivation and performance in construction
Download2021-01-01
Raoufi, Mohammad, Fayek, Aminah Robinson
Purpose – This paper aims to cover the development of a methodology for hybrid fuzzy Monte Carlo agentbased simulation (FMCABS) and its implementation on a parametric study of construction crew performance. Design/methodology/approach – The developed methodology uses fuzzy logic, Monte Carlo...
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Hybrid fuzzy system dynamics model for analyzing the impacts of interrelated risk and opportunity events on project contingency
Download2020-07-23
Siraj, Nasir B., Fayek, Aminah Robinson
Traditional risk analysis techniques are ineffective for capturing the dynamic causal interactions and subjective uncertainties involved in assessing risk and opportunity events since they treat risks independently and rely on the availability of sufficient historical data. In this paper, a...
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Fall 2019
The unique nature of construction projects and the uncertainties encountered during project execution make construction a highly-risk prone industry. Risks on construction projects (especially large-scale projects) are extremely complex and highly dynamic, and substantial interrelationships exist...
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2022-01-24
Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson
The majority of competency and performance modeling methods available in the literature are deterministic conceptual, statistical,and/or regression models that cannot capture the subjective uncertainty, complex, and nonlinear relationships inherent in construction, whichmakes accurate prediction...