摘要
针对侦察数据与作战规则库中规则条件进行有效匹配的现实需求,提出了一种实用性较强的模糊匹配算法。首先,分析了作战规则的描述形式,研究了应用作战规则的典型过程;其次,结合实际问题的特征,提出了应用区间估计的方法计算侦察数值与既定数值的贴近度;然后,参考所设贴近度阈值,应用绝对值差积法计算了侦察数据与规则库中各规则条件的匹配度,并依据匹配度最大最优原则实现了侦察数据与规则库中规则条件的有效匹配;最后,通过算例验证了该方法的有效性,为后续相关工作的开展提供了借鉴。
An available fuzzy matching method is presented for analyzing the similarity between reconnaissance data and conditions of some certain operational rules. Firstly,the typical process of applying operational rules is researched after analyzing frequently-used operational rules description method. Secondly,combined with the characteristics of the practical problem,the method using related knowledge of interval estimation to count the nearness between reconnaissance results and certain numbers is presented. Thirdly,referred to the set nearness threshold,matching degrees between reconnaissance data and the conditions are counted by using the absolute value difference and product method,which is helpful for getting effective matches between reconnaissance data and the conditions according to the maximum principle. Finally,the effectiveness of the presented method is proved by an example,which can offer help for other correlative works.
出处
《电子信息对抗技术》
2016年第2期14-17,22,共5页
Electronic Information Warfare Technology
关键词
区间估计
绝对值差积法
模糊匹配
作战规则
interval estimation
absolute value difference and product method
fuzzy matching
operational rules