摘要
mass函数表示对证据的精确信任程度,是信任函数的基本概率分配。文章在阐述Dempster-Shafer(D-S)证据理论和决策方法的基础上,较系统地论述了基于统计证据的mass函数和D-S证据理论的目标识别的数据融合方法,并给出了具体的识别实例。从计算结果可以看出,该方法有利于目标识别的实现,具有较好的实用性。
Mass function is interpreted the precise degree of evidence and described as a basic probability assignment. In this paper, we discuss mass function of statistical evidence and D-S evidence theory , which is applied to multisensor target identification. A example is given. The results show that the method is propitious to realize target identification, so it takes on preferable practicability.
出处
《传感技术学报》
EI
CAS
CSCD
北大核心
2006年第3期862-864,共3页
Chinese Journal of Sensors and Actuators
关键词
MASS函数
证据理论
目标识别
多传感器信息融合
mass function
evidence theory
target identification
multisensor information fusion
