基于信息熵和粗糙集的空中目标威胁评估方法

针对粗糙集（RS）理论在处理评估问题时，无法处理决策属性缺失的信息系统的问题，提出一种基于信息熵（IE）和粗糙集的空中目标威胁评估模型。该模型通过信息熵方法计算各属性权重，选取最大权重的属性替代决策属性，构建完备的粗糙集决策信息系统，并根据属性重要性方法进行离散化处理，基于决策辨识矩阵实现属性约简和权重计算，对空中目标的威胁程度进行量化评估。模型拓宽了粗糙集理论在评估中的适用范围，减少对先验信息的需求与人为主观因素的影响。仿真结果表明，该方法可以实现对空中目标的有效评估。

Threat evaluation method of air target based on information entropy and rough set

Aimed at the problem that rough set (RS) theory cannot deal with information system without decision when evaluation issues are processed, an air target threat evaluation model based on information entropy (IE) and RS is put forward. The model adopts IE method to calculate the attribute weights, chooses the attribute with maximal weight to replace the decision attribute, and establishes a complete RS decision information system. Furthermore, the data is discretized via attribute importance method. Then attribute reduction and weight calculation have been realized with decision identification matrix, and the threat degree of air targets could be quantitatively evaluated. The model provides rough set theory a broader application field, reduces the requirement for prior information as well as the influence of subjective factors. The simulation results show that the proposed method can realize an effective evaluation for air target.