“…Existing simulation methods rely on the availability of adequate numerical data and do not account for the non-probabilistic uncertainties that exist in real-life situations, both in variables and in their relationships. By integrating fuzzy logic with simulation, the capabilities of these models can be enhanced to allow them to effectively address real-life problems that exhibit both random and subjective uncertainty ( de Salles, Neto, & Marujo, 2016;Gerami Seresht & Fayek, 2015;Nojedehi & Nasirzadeh, 2017;Raoufi & Fayek, 2015;Sadeghi, Fayek, & Mosayebi, 2013;Sahebjamnia, Tavakkoli-Moghaddam, & Ghorbani, 2016;Song, J., Song, D., & Zhang, 2015). Moreover, integration allows such models to handle project contexts where there may be inadequate numerical data.…”