摘要
针对不确定空情信息的区间数表示问题,把区间数转换成联系数,再转换成三角函数表达式,建立基于三角函数的不确定空情信息条件下的意图识别模型,将待识别意图的目标作为比较序列,已知作战意图的基准特征值作为参考序列,利用三角函数表达式"模"的聚类计算识别目标,再进一步作不确定分析.实例应用表明,在需要识别的3个目标中,有2个与其他方法所得结果相同,对有异义的另一个目标,分析表明该文的识别结果更符合实际,说明了基于联系数的"确定性计算加不确定性分析"方法简明有效、客观适用,可以为防空作战指挥提供决策支持.
The objective of the research study is to examine uncertain aerial intelligence expressed by the interval number as a decision making approach for air defense campaign commanding. First, the research explored the process of how the interval number is converted into connection numbers and triangle function expressions. After this process, the study reviewed the inference of an intention model and as a result of the triangle function expres sion under uncertain aerial testing data was analyzed. The target intention data collected disclosed an inferred coal parative sequencing pattern was used in the study. The known vector was used as a reference sequence, modules of triangle function expressions were calculated by a cluster analysis to distinguish a target and uncertainty analyses were further completed. As a result, among the recognition of the 3 goals, two target test results confirmed to be same as those achieved when applying other research methods other than inference of an intention model or triangle function expression under uncertain aerial testing. However, an additional target test performed results indicate de terministic calculations and uncertainty analysis were effective, objective and applicable and may provide critical decision making support for air defense campaign commanding procedures.
出处
《智能系统学报》
北大核心
2012年第5期450-456,共7页
CAAI Transactions on Intelligent Systems
基金
江苏省第八批"六大人才高峰"基金资助项目(2011-JY-003)
连云港市"学术技术带头人"基金资助项目(LRC2009-3-521)
2012年校科研基金课题项目(LYGSZ12033)
关键词
空情意图识别
不确定性
区间数
联系数
聚类分析
inference of aerial intelligence intention
uncertainty
interval number
connection number
cluster a nalysis
