计算机与现代化

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基于案例推理和规则推理的公安突发事件辅助决策算法

  

  1. (中国人民公安大学信息技术与网络安全学院,北京102600)
  • 收稿日期:2019-03-01 出版日期:2019-09-23 发布日期:2019-09-23
  • 作者简介:蔡胜胜(1995-),男,福建莆田人,硕士研究生,研究方向: 软件工程,E-mail: caishengsheng2018@163.com; 通信作者:卜凡亮(1965-),男,教授,博士,研究方向:信息与通信工程,E-mail: 20051257@ppsuc.edu.cn。
  • 基金资助:
    中国铁路总公司重大项目(2017X001-A)

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

  1. (College of Information Technology and Network Security, People’s Public Security University of China, Beijing 102600, China)
  • Received:2019-03-01 Online:2019-09-23 Published:2019-09-23

摘要: 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。

关键词: 案例推理, 规则推理, 公安, 突发事件, 辅助决策

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

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