Water leak detection in underground pipelines is crucial for ensuring efficient water management and preventing infrastructure damage. Traditional methods often rely on acoustic sensors, but they may be limited by environmental noise and interference. In this paper, we propose a novel hybrid method that integrates intuitionistic fuzzy estimations with underground vibration sensors for water leak detection. By capturing and analyzing vibrations induced by water leaks, our approach enhances detection accuracy, particularly in noisy environments. The intuitionistic fuzzy framework enables us to effectively model uncertainty inherent in sensor data, improving the robustness and reliability of leak detection. Our approach offers a promising solution for advancing water leak detection technology, with potential applications in smart water management systems and infrastructure monitoring.