摘要
提出了一种新的D-S证据理论近似快速算法,它利用证据平均能量函数选择参加融合的焦元,并将被抛弃焦元的mass值分配在参加融合的焦元中,仿真结果证明该方法不但能够加快证据组合的运算速度,而且还克服以往近似算法中为了快速而牺牲精度的缺点,保证了融合结果的准确性。
Although D-S method has been widely used in various data fusion systems, there is a difficulty in the applications of D-S method because of possible mass calculating. On the basis of analyzing and comparing some typical researches, a new approximation algorithm was proposed, which could not only accelerate the speed of evidence combination, but also overcome a defect of sacrifice precision for speed in old approximation algorithms and ensure accuracy of fusion results.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第4期667-669,共3页
Computer Engineering and Design
关键词
数据融合
证据理论
证据组合
近似算法
data fusion
evidence theory
evidence combination
approximation algorithm
