This paper proposes planning and scheduling approaches for an Arial Cable Car System project to be undertaken in the city of Sharjah, UJAE. Being a new project with lack of data and minimal experience in the country and region, it's considered a unique one. Fuzzy scheduling is introduced in order to estimate the project completion time with minimal sensitivity to uncertainties. In this research, three models are assessed for their applicability to the Arial Cable Car project scheduling. The models proposed are two fuzzy (Generalized Mean Model: GMIM and Generalized Mean Integration Representation Model: GMIR) and one non-fuzzy probabilistic model (Triangular Stochastic Duration: TSD). Those models succeed in incorporating experts' biasness, confidence level and numerically translated experience in the models for fair assessment and comparison. The key contribution of this paper is the study of the effect of different experts' estimates and their biasness on completion time.
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