首页|Heterogeneous information fusion recognition method based on belief rule structure
Heterogeneous information fusion recognition method based on belief rule structure
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
维普
To solve the problem that the existing situation awareness research focuses on multi-sensor data fusion,but the expert knowledge is not fully utilized,a heterogeneous informa-tion fusion recognition method based on belief rule structure is proposed.By defining the continuous probabilistic hesitation fuzzy linguistic term sets(CPHFLTS)and establishing CPHFLTS distance measure,the belief rule base of the relationship between feature space and category space is constructed through information integration,and the evidence reasoning of the input samples is carried out.The experimental results show that the proposed method can make full use of sensor data and expert knowledge for recognition.Compared with the other methods,the proposed method has a higher correct recognition rate under different noise levels.
belief ruleheterogeneous informationintention recognitionhesitation fuzzy linguistic
WANG Haibin、GUAN Xin、YI Xiao、SUN Guidong
展开 >
Naval Aviation University,Yantai 264001,China
Unit 32801 of the PLA,Beijing 100082,China
Youth Foundation of National science Foundation of ChinaSpecial Fund for Taishan Scholar Project
万方数据
维普
