In order to evaluate the veracity of synthetic aperture radar (SAR) images by theoretical modeling, a vehicle SAR simulation images validation method is proposed by synthesizing analytic hierarchy process (AHP), fuzzy comprehensive evaluation (FCE), and the technology of image features, Fisher criterion, and target recognition. Firstly, fivedegree comments {excellent, good, fair, poor, and very poor} are determined. Secondly, the evaluation factors are established based on the AHP, and then the first-level and second-level weight vectors are obtained by the recognition rates and the Fisher criterion, respectively. Thirdly, the fuzzy membership functions are constructed according to the standard of image similarity. Finally, the result vector of FCE between the simulated and measured images is computed by integrating the weight vectors and the fuzzy matrices, and then the final evaluation result is given by the maximum rule from the vector. By comparing and analyzing the experimental results of vehicles of SAR simulated and measured images, the proposed evaluation method is effective on reflecting the similarities of the simulated and measured images.