Approximating the optimal mapping for weapon target assignment by fuzzy reasoning
Approximating the optimal mapping for weapon target assignment by fuzzy reasoning
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DOI：
10.1016/j.ins.2013.08.004
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
M. A. Sahin;K. Leblebicioğlu
中科院分区：
文献类型：
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作者：
M. A. Sahin;K. Leblebicioğlu
武器目标分配是一个以目标期望生存值最小为目标的武器分配问题。这个问题必须在战场上迅速解决（即实时解决）。考虑到综合的复杂性和严格的时间限制，提出了模糊决策者作为辅助指挥官决定适当武器分配的替代方案。该概念基于输入变量的敏感性分析，通过扩展网格划分，为给定数据集构建模糊决策者。在实际场景中，用随机抽样的分配实例对所提出的决策者进行了实现和测试。此外，还考虑了一个更大规模的场景来演示该方法的可伸缩性。结果表明，该系统具有良好的性能，可以在战场上使用。
Weapon target assignment is a weapon assignment problem with the objective of minimizing the expected survival value of targets. This problem must be quickly solved on the battlefield (i.e., in real-time). Considering the combined complexity and the strict time constraints, a fuzzy decision maker is proposed as an alternative to aid commanders in deciding on proper weapon assignments. The concept builds a fuzzy decision maker for a given data set by using extended grid partitioning based on a sensitivity analysis of input variables. The proposed decision maker is implemented and tested with several randomly sampled assignment instances on realistic scenarios. In addition, a larger-scale scenario is also considered to demonstrate the scalability of the approach. The results show that the proposed system exhibits satisfactory performance and is serviceable on the battlefield.