基于AHP-TOPSIS的网络化弹药攻击决策算法

针对网络化弹药攻击决策问题，提出了基于AHP-TOPSIS的网络化弹药攻击决策算法.分析了影响网络化弹药攻击决策的关键属性，利用AHP算法构建层次结构，构造判断矩阵，确定各属性的权重，进而使用改进的TOPSIS算法得到决策方案的排序结果.仿真结果表明，算法具有计算量低、实时性高的特点；算法能够有效解决多节点攻击决策问题，并有效抑制了逆序现象，具有一定稳健性和实用性. 

Algorithm of Networked Ammunition Attack Decision-Making Based on AHP-TOPSIS

Aiming at the problem of networked ammunition attack decision-making, an algorithm of networked ammunition attack decision-making based on AHP-TOPSIS was presented. The key attributes affecting the networked ammunition attack decision-making were analyzed. The AHP algorithm was used to construct the hierarchical structure, the judgment matrix was constructed and the weights of the attributes were determined. Then, the improved TOPSIS algorithm was used to get the ranking result of the decision scheme. The simulation results show that the algorithm has the advantages of low computational complexity and high real-time performance. The proposed algorithm can effectively solve the multi-node attack decision-making problem, and effectively restrain the algorithm from reverse order, and has certain robustness and practicability.