摘要
不确定性理论能够很好地表示不精确、不完整、不可靠等不确定性知识,因而得到广泛应用。针对通信侦察目标信息不精确、不完整、不可靠等不确定性问题,提出了基于模糊函数的数据库匹配方法,分析侦察目标参数的特征,构建不同的隶属函数。为了提高识别正确性,提出了基于隶属函数的自适应融合方法。数值算例表明,基于隶属函数的自适应融合算法可有效处理各种冲突情况,且收敛速度快,计算量小。
Indeterminacy inference is widely used due to its capability in dealing with uncertainty problems,Such as data inaccuracy,incompleteness and unreliability.Fussy-function based database matching method is proposed in this paper to analyze communication object parameters and determine different subjection functions in cope with data inaccuracy incompleteness and unreliability problems that frequently encountered in real life.In order to improve the object recognition accuracy rate,a subjection function based adaptive fusion method is presented.Calculation shows this method can be effectively used in any situation with quick convergence rate and low computations.
作者
程嘉远
于小红
CHENG Jia-yuan;YU Xiao-hong(Electronic Information Engineering Institute Changchun University of Scientific and Technology,Changchun 130022,China;Jiangsu Automation Research Institute,Lianyungang 222006,China)
出处
《火力与指挥控制》
CSCD
北大核心
2018年第8期96-101,共6页
Fire Control & Command Control
关键词
模糊识别
DS证据
目标识别
indeterminacy inference
DS evidence theory
object recognition
