模式识别与人工智能
Friday, Apr. 11, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2015, Vol. 28 Issue (9): 857-864    DOI: 10.16451/j.cnki.issn1003-6059.201509011
Researches and Applications Current Issue| Next Issue| Archive| Adv Search |
Evidence Combination Method Based on Included Angle Cosine
HU Jia-Ji, LI Xin-De, WANG Feng-Yu
School of Automation, Southeast University, Nanjing 211189

Download: PDF (466 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  Dempster-Shafer theory of evidence combination is widely used in the field of information fusion. However, it has a counter intuitive problem in highly conflictive evidence combination. Aiming at this problem, the source of evidence is analyzed, and then an evidence combination method based on cosine is proposed. Firstly, Pignistic probability is utilized to analyze the evidence source. Next, conflictive evidence is identified by comparing the included angle cosine with the threshold. Conflictive evidence is revised according to the variable correction factor generated from the relationship among evidences and the probability assignment of non-conflictive evidences. Finally, Dempster-Shafer rule is utilized to combine evidences. Experimental results show that the proposed method is effective in handing highly conflictive evidences and the combination result obtained in the case of multi-conflictive evidences is good. The proposed method can be widely used in the field of multi-source information fusion, pattern recognition and uncertain information decision-making.
Key wordsInformationFusion      MeasureofSimilarityforIncludedAngleCosine      VariableCorrectionFactor     
Received: 10 November 2014     
ZTFLH: TP393  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
HU Jia-Ji
LI Xin-De
WANG Feng-Yu
Cite this article:   
HU Jia-Ji,LI Xin-De,WANG Feng-Yu. Evidence Combination Method Based on Included Angle Cosine[J]. , 2015, 28(9): 857-864.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201509011      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2015/V28/I9/857
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn