云推理在雷达干扰效果评估中的应用

鉴于雷达干扰效果评估在干扰资源优化分配中的重要地位,一种基于云模型定性规则推理的干扰效果评估方法被提出。首先对属性云模型进行参数设置,生成了一系列用云表示的基本概念集;然后基于云不确定性关联知识挖掘方法,构建了推理规则库,使得属性间的内在关联被突显出来;最后建立了基于云不确定性推理的干扰效果评估模型。通过实例,将云推理与模糊推理和概率推理进行比较,结果表明所建模型是合理的、可行的,该方法摆脱了以往概念层次的硬划分,实现了数据的软操作,通过定性推理过程,对数据对象进行定性概念的推理,实现了更符合人类思维活动的推理过程,具有更好的可操作性和可理解性。

Application of Cloud Model Uncertainty Reasoning in the Evaluation of Radar Jamming Effect

The evaluation of radar jamming effect plays an important role in optimal distribution of radar jamming resources,so in this paper an evaluation method of the jamming effect based on cloud model uncer-tainty reasoning is presented.Firstly,cloud model parameters of every attribute are set up.Secondly,the reasoning rule base is established based on cloud uncertainty related knowledge mining.Finally,the evalua-tion model of the jamming effect based on cloud uncertainty reasoning is established.Cloud reasoning is com-pared with fuzzy reasoning and probability reasoning,the results show that this model is reasonable and feasi-ble.This method can realize the soft partition of concepts and the qualitative concept reasoning of data ob-jects.It owns better operability and understandability.