A Fuzzy Evaluation Method for Anti‐Jamming Performance of Passive Radar Seekers Based on Analytic Hierarchy Process‐Entropy Weight Fusion Algorithm

Addressing the limitations of strong subjectivity and the lack of nonlinear mapping in current passive radar seeker performance evaluation, this paper proposes a fuzzy comprehensive evaluation method based on the dual optimisation of weights and indicator values. A systematic ‘Effectiveness‐Capability‐Performance’ hierarchical indicator framework is established, and a fuzzy comprehensive evaluation model integrating the analytic hierarchy process (AHP) and the entropy weight method (EWM) is employed to scientifically balance expert judgement with objective data distribution. The core innovation of this research lies in the construction of differentiated fuzzy membership functions based on the physical characteristics of metrics, which accurately characterise the nonlinear contribution of raw data to antijamming effectiveness. Simulation results demonstrate that this model not only yields reliable comprehensive scores but also effectively diagnoses the mechanisms of different jamming types—specifically distinguishing between the loss of measurement precision and the failure of decision‐making logic. Comparative analysis confirms that, compared to traditional methods, the proposed approach exhibits superior stability and accuracy in characterising the antijamming performance degradation trends of passive radar seekers.