Fuzzy-based decision-making applied to performance evaluation in value engineering

Value engineering (VE) has been widely applied in project innovation fields. Theoretically, VE implementation should improve efficiency, but improper VE implementation timing, poor communication or cooperation, insufficient budget, etc., often mean that this is not the case for many construction projects. This study considers several factors, including key factor index, value engineering study performance, and stakeholder satisfaction in order to evaluate the performance of a VE project. A fuzzy decision-making model based on an analytic hierarchy process (AHP) is used to identify those factors which influence value engineering study results. Five linguistic ranks: very high, high, medium, low, and very low, were used to describe the degree of project performance. The results yield performance evaluation scores for the Shangyi International Airport in Kinmen, Taiwan VE project of between high, with a confidence of 57.4%, and very high, with a confidence of 4.5%.