基于RS-CRITIC的空战目标威胁评估

针对不确定信息下的空战目标威胁评估问题，提出了一种基于粗糙集（RS）理论和指标重要性相关（CRITIC）法的目标威胁评估模型。首先，通过CRITIC法确定准确信息下的目标威胁值，利用数据挖掘（MD）启发式算法求解最佳分割集合，将目标威胁值离散化处理后替代粗糙集决策信息系统中的决策属性。其次，基于构建的完备粗糙集决策信息系统，通过决策矩阵实现属性约简和目标威胁评估最小决策规则提取。最后，将规则应用于不确定信息下的目标威胁评估。仿真结果表明:所提模型能够实现信息缺失下的目标威胁评估，减少了主观因素和先验知识的影响，扩展了粗糙集理论应用范围。 

Threat assessment of air combat target based on RS-CRITIC

Aiming at the problem of air combat target threat assessment under uncertain information, a threat assessment model based on Rough Set (RS) and Criteria Importance Though Intercrieria Correlation (CRITIC) method is proposed. Firstly, the model determines the target threat value under accurate information by CRITIC and the optimal segmentation set is solved by Mining Data (MD) heuristic algorithm. After the threat value is discretized, it replaces the decision attribute in the rough set information system. Secondly, based on the complete rough set decision information system, attribute reduction and minimum decision rules extraction of target threat assessment are realized by decision matrix. Finally, the export rules are applied to target threat assessment under uncertain information. Simulation results show that proposed method can achieve the target threat assessment in the absence of information, and reduces the influence of subjective factors and prior knowledge, and expands the application of rough set theory.