This study introduces Neutrosophic Fuzzy GERT (NF-GERT) as a robust approach for scheduling complex construction projects, addressing limitations in conventional methodologies (PERT, CPM, PDM). NF-GERT leverages Graphical Evaluation and Review Technique (GERT) for stochastic project network analysis and Neutrosophic Fuzzy Sets (NFS) to handle uncertainty in activity durations. Specifically, a single-valued trapezoidal NFS captures Truth (T), Indeterminacy (I), and Falsity (F) subsets, providing a nuanced representation of ambiguity. The integrated multimethodology, NF-GERT, proves effective in managing uncertainties, demonstrated through a fourteen-storey residential case study, and validated with comparisons across forty-five real-time projects of varying complexities. The results highlight the effectiveness of the NF-GERT methodology in managing uncertainty and indeterminacy, further supported by statistical analysis using ANOVA. Acknowledging subjectivity, the study emphasizes clear guidelines, iterative refinement, and Monte Carlo analysis for consensus and reliability. NF-GERT emerges as a promising approach for realistic and reliable scheduling of construction projects amidst uncertainties and complexities.
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