摘要
传统的多属性决策(MADM)方法,仅仅依靠提取个别属性,建立隶属度函数,进行模糊处理,对辐射源威胁等级进行判定。这种方法不但对提取数据的精确性要求较高,而且当雷达数据较多时,会产生较多的威胁等级,这对数据的处理和干扰任务的确定带来不便的影响。先对提取的雷达数据应用模糊C均值聚类(FCM)方法进行一步聚类分析,去掉冗余的干扰数据,得到较为精确的雷达属性参数,然后运用多属性决策方法进行判定,可以更为准确和有效地估计雷达辐射源威胁等级。
The traditional MADM method only relies on selecting individual properties to establish membership functions and perform fuzzy processing for ensuring radar radiation source threat level. Howev- er, the method has a high request on the exactness of the data, and many threat levels will be confirmed when facing mass information. This thesis firstly uses FCM method to remove part of the redundant information, then uses MADM method to ensure the threat tevel . The experiment results show that the method has good effect.
出处
《雷达科学与技术》
2012年第5期497-500,共4页
Radar Science and Technology
关键词
模糊聚类
多属性决策
威胁等级
效能评估
fuzzy C-means clustering（FCM）
multiple attribute decision making（MADM）
threat level
effectiveness evaluation
