Reducing project cost and duration while maintaining or enhancing quality is a fundamental objective in construction project management and one of the core missions of value engineering, which aims to optimize the functionality of systems while minimizing unnecessary expenditures. This study proposes a comprehensive performance improvement framework that integrates value engineering with the fuzzy Analytic Hierarchy Process (FAHP) and fuzzy VIKOR methodology to enhance the efficiency and effectiveness of construction projects. In the initial stage, the value engineering approach was employed to identify key performance improvement criteria through the evaluation of expert opinions, ensuring that all critical factors influencing project success were considered. In the subsequent stage, the relative importance of these criteria was quantified using fuzzy network analysis, allowing for more precise and nuanced weighting under conditions of uncertainty. Finally, the various scenarios developed during the creativity phase of the value engineering process were systematically ranked using the fuzzy VIKOR method to determine the optimal solution. The results indicate that implementing the scenario recommended by the value engineering team, as opposed to the original project design, can achieve a significant 16.3% reduction in overall project cost and a 26.42% decrease in project duration. These findings demonstrate that the integrated approach of value engineering combined with fuzzy multi-criteria decision-making provides a practical and effective strategy for improving project performance in construction management.