The study of tactical missile weapon systems, particularly their operational efficiency, is increasingly important in modern warfare. These systems are crucial for accurately striking targets and achieving air superiority. The effectiveness evaluation of such missile systems provides a quantitative foundation for both upgrading existing weapons and setting performance benchmarks in combat exercises. This particular topic focuses on the evaluation of tactical missile weapon systems using energy big data. A comprehensive index system is utilized to conduct this evaluation, incorporating methods like fuzzy comprehensive evaluation and analytic hierarchy process. These methods enable both qualitative and quantitative analysis of the capability matrix in the ADC (Aim, Deploy, and Conclude) model. The main objective is to ensure the correctness and effectiveness of the evaluation model. An example analysis is conducted to verify the model’s validity. The results from this analysis indicate a high degree of accuracy in the model’s predictions. The disparity between the actual and expected output results is minimal, with a relative error within 4%. Furthermore, the combat effectiveness grade determined by the model aligns with the actual grade observed, confirming the model’s capability to effectively evaluate the combat effectiveness of surface-to-air missile weapon systems. This research is significant as it provides a reliable and accurate method for assessing the effectiveness of tactical missile systems. Such evaluations are vital for informed decision-making in military strategy and weapon system development. Using energy big data in this context represents a novel approach, reflecting the increasing integration of advanced data analytics in military technology assessments.