When an air-to-air missile strikes a cruise missile against a sea background, it is necessary to constrain the direction of the line of sight where the missile and the target meet in order to avoid the interference of fish scale light. For this scenario, an evaluation system is proposed in order to prefer the guidance law. The fuzzy analysis hierarchy method (FAHP) and entropy weight method are combined to obtain the evaluation weights combining subjective and objective, the evaluation model of technique for order of preference by similarity to ideal solution (TOPSIS) is established, and the grey correlation is introduced to overcome the defects of the traditional Euclidean distance in order to optimize the calculation results. The FAHP-entropy weight-TOPSIS model is applied to evaluate different guidance laws in the case of information bias, and the four evaluation indexes of air-to-air missile miss distance, line-of-sight error, attack time and maximum overload duration, as well as the mean and mean squared deviation of the four indexes are evaluated and analysed, and the Monte Carlo simulation is applied to compare the three types of guidance laws of the joint bias-proportional guidance law, the sliding-mode guidance law, and RBF neural network sliding mode guidance law to compare the performance of the three guidance laws. The simulation experiment proves that the comprehensive evaluation method of FAHP-entropy weight-TOPSIS can be applied to the evaluation and preference of the performance of the guidance law.