Reduction method of weapon system-of-systems assessment index system based on autoencoder

作者：L Zhang · 年份：2013 · 被引用次数：3 · 研究领域：Advanced Decision-Making Techniques

As the information degree, complexity and uncertainty of modern war increase, effectiveness assessment for weapon system-of-systems(WSoS) from the sea is more important than ever. Constructing appropriate evaluation index for WSoS is critical to evaluate its effectiveness, affecting the operational effectiveness of a range of indexes, indexes redundant and direct use of these indexes will increase the time-space complexity of effectiveness assessment, multiple and multi-scale indexes for the system were established. In order to reduce the complexity of index, Autoencoder was taken to project these data into low dimensional data non-linearly. The results show that the reduced data can exactly represent the origin data when the original dimension is reconstructed. This will highly reduce the complexity of the next assessment process of WSoS.