基于改进G-GIFSS算法的雷达LPI性能评估方法

合理的雷达低截获(low probability of interception,LPI)性能评估方法是提高其隐身性能的基础。针对雷达LPI性能难以有效实时评估的问题,提出一种群广义直觉模糊软集(group-generalized intuitionistic fuzzy soft sets,G-GIFSS)算法与主客观权重相结合的雷达LPI性能评估方法。首先从反映雷达低截获性能的3个准则层信号层、功率层以及天线层确定6个目标属性指标层,选择直觉模糊集熵法确定客观权重、层次分析法((analytic hierarchy process,AHP))确定主观权重,并线性合成主客观权重。结合G-GIFSS算法利用多专家参量集的优势,对雷达LPI性能进行综合评判。通过案例分析并与经典评估方法对比,验证了该方法的优越性。

Dynamic assessment method of air target threat based on improved GIFSS

As the air combat environment becomes more complicated and changeable, accurate threat assessment of air target has a significant impact on air defense operations. This paper proposes an improved generalized intuitionistic fuzzy soft set (GIFSS) method for dynamic assessment of air target threat. Firstly, the threat assessment index is reasonably determined by analyzing the typical characteristics of air targets. Secondly, after the GIFSS at different time is obtained, the index weight is determined by the intuitionistic fuzzy set entropy and the relative entropy theory. Then, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted GIFSS is obtained. Finally, threat assessment of five air targets is carried out by using the improved GIFSS (I-GIFSS) and comparison methods. The validity and superiority of the proposed method are verified by calculation and comparison.

基于关联群广义直觉模糊软集的仿真可信度指标聚合方法

针对仿真可信度主观评估过程存在关联关系时基于独立假设的指标聚合算子失效的问题,以及主观评估时评估专家的判断主观性强且表述能力不足的问题,提出一种基于关联群广义直觉模糊软集的仿真可信度指标聚合方法以及群广义直觉模糊软集关联加权平均聚合算子.结合直觉模糊TOPSIS方法,给出了方法的具体步骤.通过CRH2型高速列车组牵引传动故障注入仿真可信度主观评估实例,验证了所提出方法的可行性和有效性.