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Effectively managing hydrological systems requires a comprehensive strategy involving data collection, predictive modeling, and stakeholder engagement. This study integrates “Shared Vision Planning” principles with fuzzy evaluation and heuristic search, aiming for a balanced and sustainable hydrological system management strategy. The synergy between fuzzy evaluation and heuristic algorithms establishes a robust decision-making framework, optimizing water resource utilization and addressing varied interest groups’ concerns. Tested using data from the Great Lakes region in North America, our model demonstrates effectiveness in achieving coordinated water resource management, contributing to a resilient water resource management paradigm with positive implications for regional development.