Abstract: In order to improve the speed of the decision-making of public security command department in the event of an emergency, this paper proposes an assistant decision-making algorithm based on case-based reasoning (CBR) and rule-based reasoning(RBR). The algorithm retrieves the most similar cases of the same level and type in the case base by using CBR according to the level, type and specific data in the emergency, such as the number of casualties, etc., and then modifies and optimizes the results of the retrieval cases using RBR to make them more suitable for the actual situation of the emergency. Finally, the algorithm is verified successfully by an example. This algorithm can provide reference for the construction of public security emergency plan and auxiliary decision-making platform.

Key words:  , CBR； RBR； police； emergencies； assistant decision-making