AI 中文总结
研究现代防空系统中风险分析与威胁管理，提出结合模糊集理论、层次分析法和TOPSIS的威胁评估方法，用于防空指挥控制决策，在模拟环境实现，该方法易实践且适用于实时应用。
AI 中文摘要
高效的风险分析和威胁管理是现代防空（AD）系统的基本要求。本文在层次分析法（AHP）和实际推理之间，对与军事AD应用相关的风险和威胁进行建模和分析。这些模型用于AD指挥与控制（C2）的决策任务，以评估敌方目标的威胁并排序，实现高效风险管理。提出了一种结合模糊集理论、AHP和逼近理想解排序法（TOPSIS）的威胁评估方法。先用模糊集理论表示目标威胁属性，通过AHP量化并排序专家对不同方案的主观意见，再经TOPSIS获得AHP解决方案的优先级。模型在模拟环境中实现，该模拟系统无需人工干预，代表了C2系统的先进模型。从未来战场风险和威胁管理角度看，使用模糊集理论、AHP和TOPSIS进行决策任务很有用，该方法易于实践且适用于实时应用。
英文摘要
Efficient risk analysis and threat management are essential requirements of modern air defense (AD) systems. The paper is halfway between the analytic hierarchy process (AHP) and practical reasoning to model and analyze the risks and threats associated with military AD applications. The models are applied for decision-making tasks of AD command and control (C2) for assessing and prioritizing the threat from hostile targets for efficient risk management. The paper presents a method for threat assessment using fuzzy set theory, the AHP, and the technique for order preference by similarity to ideal solution (TOPSIS). The target threat attributes are first represented using fuzzy set theory. The experts' subjective opinions on different alternatives are quantified and ranked using the AHP process. These AHP solutions are obtained through the TOPSIS for prioritization. The models are implemented in a simulated environment. The simulated system runs without any human intervention and represents the state-of-the-art model for the C2 system. The use of fuzzy set theory, AHP, and TOPSIS for decision-making tasks is particularly useful from the point of view of futuristic risk and threat management in the battlefield. This method is easy to implement in practice and good for real-time applications.
Comments8 pages, 2 figures
Journal refJournal of Battlefield Technology,2015
