DEMPSTER-SHAFER

作品数：78被引量：420H指数：12
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THE PROBABILITY HYPOTHESIS DENSITY FILTER WITH EVIDENCE FUSION
《Journal of Electronics(China)》2009年第6期746-753,共8页Liu Weifeng Xu Xiaobin 
Supports in part by the NSFC (No. 60772006, 60874105);the ZJNSF(Y1080422, R106745);NCET (08- 0345)
The original Probability Hypothesis Density (PHD) filter is a tractable algorithm for Multi-Target Tracking (MTT) in Random Finite Set (RFS) frameworks. In this paper,we introduce a novel Evidence PHD (E-PHD) filter w...
关键词：Probability Hypotheses Density （PHD） Dempster-Shafer （DS） evidence Uncertain in-formation Evidence PHD （E-PHD） Evidence Gaussian Mixture PHD （E-GMPHD） 
DETERMINGING BPA UNDER UNCERTAINTY ENVIRONMENTS AND ITS APPLICATION IN DATA FUSION被引量：15
《Journal of Electronics(China)》2009年第1期13-17,共5页Deng Yong Jiang Wen Xu Xiaobin Li Qi Wang Dong 
Supported by National High Technology Project (863)(No. 2006AA02Z320);the National Natural Science Founda-tion of China (No.30700154, No.60874105);Zhejiang Natural Science Foundation (No.Y107458, RY1080422);the School Youth Found of Shanghai Jiaotong University
Dempster-Shafer (DS) theory of evidence has been widely used in many data fusion ap- plication systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, ...
关键词：Data fusion Dempster-Shafer （DS） theory of evidence Basic Probability Assignment（BPA） Generalized fuzzy number Similarity measure 
A NEW METHOD FOR CONSTRUCTING FUZZY EVIDENCE BASED ON THE NON-CONSONANT RANDOM SET被引量：2
《Journal of Electronics(China)》2009年第1期31-37,共7页Xu Xiaobin Wen Chenglin Li Zhiliang 
Supported by the National Natural Science Foundation of China (60772006) ;the Zhejiang Natural Science Foundation (R106745, Y1080422)
Natural-language information is often mathematically expressed by fuzzy sets. With the random set theory as a bridge, this kind of information can be transformed into fuzzy evidence in Dempster-Shafer (DS) theory. The...
关键词：Random set theory Fuzzy set Dempster-Shafer （DS） theory Target recognition 
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