Heterogeneous information fusion recognition method based on belief rule structure  

作　　者：WANG Haibin GUAN Xin YI Xiao SUN Guidong 

机构地区：[1]Naval Aviation University,Yantai 264001,China [2]Unit 32801 of the PLA,Beijing 100082,China

出　　处：《Journal of Systems Engineering and Electronics》2024年第4期955-964,共10页系统工程与电子技术（英文版）

基　　金：This work was supported by the Youth Foundation of National Science Foundation of China(62001503);the Special Fund for Taishan Scholar Project(ts 201712072).

摘　　要：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.

关 键 词：belief rule heterogeneous information intention recognition hesitation fuzzy linguistic 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]