基于粗糙集的雷达抗干扰性能评估指标体系研究

Research on Radar Anti-jamming Performance Evaluation Index System Based on Rough Set Theory

研究了一种基于广义粗糙集的雷达抗干扰性能评估指标体系的构建与优化方法。用区间值信息系统描述评估数据,避免了大量实值数据导致的数据分类困难的问题。引入基于H’信息熵的信息填充技术,解决了评估数据中可能遇到不完备信息的技术难点。用基于E条件熵的启发式属性约简算法,实现了冗余评估指标的去除、指标体系的优化和决策规则的提取。通过一个完整的仿真示例,验证了提出方法的可行性、有效性和实用性。

The applications of generalized rough set theory were researched for the construction and optimization of radar anti-jamming performance evaluation index system. A mass of real-valued data was converted to some interval-valued data to avoid the difficulty of classification. The H＇- information entropy-based information filling technique was employed to solve the problem of missing evaluation data. The E-condition entropy-based heuristic algorithm was applied to make attribute reduction, optimize evaluation index system, and extract final decision rules. The feasibility, validity and practicability of proposed method were testified by a simulation example.