Angular Fuzzy Fault Tree Analysis for Construction Projects Delay

Delays in construction projects are inevitable; as a result claims and disputes arise among different construction parties. Different causes of delay can come into play. therefore, there is a need to identifY and classify different causes of project delay. Estimation of the likelihood of delay resulting from different factors that contribute to project delay is essential to project success. Tbere is a pressing need to estimate tbe likelibood of delay by implementing analysis methods and examining these metbods. Fuzzy fault tree analysis is suggested by this research to estimate tbe likelihood of delay. The result of the fuzzy fault tree analysis is a likelihood of delay membership function that is compared to the predefined fuzzy logic model to assess the degree of severity of the likelihood of delay. Likelihood of delay membership function is further quantified using the weighted average defuzzification method. Angular fuzzy logic models are implemented into the fuzzy fa.ult tree analysis, using Visual Basic software. Validation of the fuzzy fault tree analysis computer model is perfonned. The computer software suggested by this study is an attempt to help reduce delays in construction projects that can cause time loss.