基于多属性决策的PCAS-SNIF关键节点分析

预先计划的近距空中支援(PCAS)是一种典型的空军进攻作战样式，在现代战争中有着举足轻重的作用，研究PCAS信息流转过程对于提高PCAS的作战效能具有重要意义。针对PCAS作战过程难以建模分析的问题，引入超网络理论，通过研究PCAS作战的基本流程以及作战网络中各节点之间的交互关系，构建了“两层五网”的PCAS信息流转超网络模型。之后，仿真分析了PCAS信息流转超网络节点的度中心性、介数、聚类系数和接近中心性4个方面的拓扑特性，通过多属性决策节点重要性综合评价方法得出网络关键节点。最后，通过网络攻击实验验证了超网络模型和多属性决策算法的合理性和有效性，为研究作战信息流转问题提供了新的思路。

Analysis of Key Nodes of PCAS-SNIF Based on Multi-Attribute Decision-Making

Pre-planned close air support (PCAS) is a typical air force offensive operation style, which plays a pivotal role in modern war. It is of great significance to study the information flow process of PCAS for improving the combat effectiveness of PCAS. Aiming at the problem that it is difficult to model and analyze the combat process of PCAS, the super-network theory is introduced. Through studying the basic operation process of PCAS and the interaction between nodes in the combat network, the super-network model of information flow of PCAS with two layers and five networks is constructed. Then, the topological characteristics of PCAS information flow super-network nodes from four aspects of degree centrality, intermediate number, clustering coefficient and closeness centrality are analyzed. The key nodes of the network are obtained by the comprehensive evaluation method of the importance of multi-attribute decision nodes. Finally, the rationality and effectiveness of the super-network model and the multi-attribute decision making algorithm are verified through the network attack experiment, which provides a new idea for the research of operational information flow.