基于案例推理和规则推理的公安突发事件辅助决策算法

An Assistant Decision-making Algorithm for Public Security Emergencies Based on Case-based Reasoning and Rule-based Reasoning

为了提高突发事件发生时公安指挥部门处置决策方案的及时性和科学性,本文提出基于案例推理(Case-Based Reasoning,CBR)和规则推理(Rule-Based Reasoning,RBR)的公安突发事件辅助决策算法。算法根据突发事件的级别、类型和突发事件中的具体数据,如伤亡人数等,通过CBR检索出案例库中同级别同类型的最相似案例,再通过RBR对检索案例的结果进行修正优化使之更适用于突发事件的实际情况。最后通过实例成功地验证了该算法。该算法能够为公安应急预案与辅助决策平台的建设提供参考。

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.