This paper presents an adaptive neural networks-fuzzy reasoning information fusion system, which is employed to decrease the influence of the uncertainty of sensor state on fusion performance under complex environment. The model consists of confidence estimator and weighted fusion, which is applied to information fusion of multi-mode composite guidance with perfect result and high reliability.