粗集理论在空中目标威胁等级判断中的应用

Application of rough set theory in threat degree estimation of aerial target

针对目标进行威胁等级判断时,由于获得的空中目标属性信息的不完全性和不确定性带来的决策困难问题,采用把粗糙集理论引入到空战决策系统中,根据空战冗余信息是可以约简的结论,提出了一种利用粗糙集理论约简求取规则的决策算法。应用SOM网络离散化决策系统输入数据的连续属性值,利用粗集数据分析方法,从数据中提取出规则将输入映射到输出的子空间。通过粗集数据挖掘后提取的规则,不仅规则数目减少,且规则是不完全规则,因此特别适合对空战信息的融合。

Rough set theory is introduced in air combat system by decision that air combat redundancy information can be reducted,aimed at overcoming decision difficulty which is brought by incomplete and inexact of aerial target attributes information.The algorithm which based on rough set reduction can get minimum rules.Firstly,the continuous attributes in air combat decision system are discretized with self-organizing map neural networks.Then,the input to the model is mapped into the output subspace by using rules acquired from rough set. Rules acquired by rough set data mining technology are incomplete rules.This method is especially appropriated to fusion of air combat information.