情报杂志2024,Vol.43Issue(4) :89-95.DOI:10.3969/j.issn.1002-1965.2024.04.013

国家间冲突风险监测预警模型构建及应用研究

Research on the Construction and Application of Inter-State Conflict Risk Monitoring Model

姚梦娇 马亚萍 张辉 邓青
情报杂志2024,Vol.43Issue(4) :89-95.DOI:10.3969/j.issn.1002-1965.2024.04.013

国家间冲突风险监测预警模型构建及应用研究

Research on the Construction and Application of Inter-State Conflict Risk Monitoring Model

姚梦娇 1马亚萍 1张辉 2邓青3
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作者信息

  • 1. 武汉理工大学安全科学与应急管理学院 武汉 430070
  • 2. 清华大学工程物理系 北京 100084
  • 3. 北京科技大学大安全科学研究院 北京 100083
  • 折叠

摘要

[研究目的]科学分析复杂国际环境中的国家间冲突风险,有利于提高国家安全风险监测预警能力,帮助各国在复杂的国际格局中寻求维持自身发展的道路.[研究方法]基于国家安全系统视角,提出了集国家间冲突情景感知、数据收集与预处理、风险预测为一体的国家间冲突风险监测预警模型;基于专家知识和案例数据分别构建了两种国家间冲突贝叶斯网络(BN)模型:BNISM 和BNTAN.[研究结论]模型耦合机器学习技术和贝叶斯网络方法,实现了国家间冲突风险的实时监测和预警,为国家安全决策提供支持;BNTAN 模型在整体预测和低冲突风险预测方面表现出色,而BNISM模型在高风险预测方面具有比较明显的优势.未来国家间冲突风险监测预警模型应当考虑多领域知识与案例数据的融合,为推动国家安全治理体系建设贡献力量.

Abstract

[Research purpose]Analysis of inter-state conflict risks that China facing is important for improving national security risk mo-nitoring and early warning capabilities,which helps the country to find a way to maintain development in the complex international land-scape.[Research method]A framework of inter-state conflict risk monitoring and early warning model is proposed from the perspective of national security system,concluding inter-state conflict scenario perception,data collection and preprocessing,as well as inter-state conflict risk prediction.Two different models are constructed based on expert knowledge and case data respectively:BNISM and BNTAN.[Research conclusion]The model realizes real-time monitoring and early warning of inter-state conflict risk,and supports national secu-rity decision-making.The BNTAN performs well in the overall prediction and low inter-state conflict risk prediction,while the BNISM model has obvious advantages in the higher risk prediction.Future inter-state conflict risk monitoring and early warning models should consider the integration of multi-field knowledge and case data to promote the construction of a national security governance system.

关键词

国家安全/国家安全系统/国家间冲突/风险监测/预警模型/贝叶斯网络

Key words

national security/national security and safety system/inter-state conflict/risk surveillance/early-warning model/Bayesian Network

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基金项目

国家自然科学基金(72004113)

国家自然科学基金(72174099)

出版年

2024
情报杂志
陕西省科学技术信息研究所

情报杂志

CSTPCDCSSCICHSSCD北大核心
影响因子:1.502
ISSN:1002-1965
参考文献量23
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