A new hybrid multi-criteria decision-making model to prioritize risks in the construction process under fuzzy environment (case study: the Valiasr Street underpass project)

Nowadays, the complexity of the construction projects naturally filled with uncertainties and risks is highly popular. Risk has negative influence such as deferment, injuries and fatalities. Therefore, to avert these disadvantages, the purpose of this article is to identify and prioritize risks. Hence, to reach this aim, in this study, a Multi-Criteria Decision-Making (MCDM) model combination of Shannon's Entropy, Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the COmplex PRroportional ASsessment of alternatives with Gray relations (COPRAS-G) methods is used. Since in most real environments, criteria are uncertain or fuzzy, fuzzy logic is applied to tackle this uncertainty. Note that all fuzzy data are represented by ordered fuzzy numbers (OFN). Finally, to demonstrate this approach the Valiasr Street underpass project is taken. The results indicate that the proposed model is capable of prioritizing risks properly that maximize returns and ensure sustainability.