New combination rule of evidence

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

Volumn 40, Issue 11, 2006, Pages 1895-1900

  Guo, Hua Wei ^a   Shi, Wen Kang ^a   Liu, Qing Kun ^a   Deng, Yong ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Combination rule; Conflict; Evidence theory; Reliability

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DECISION THEORY; FUNCTIONS;

COMBINATION RULE; DECISION RISK; EVIDENCE THEORY; EVIDENTIAL COMBINATION; GENERIC MODEL; LOCAL CONFLICT; LOCAL FOCAL ELEMENT; NUMERICAL SIMULATION; THEORETIC ANALYSIS;

RELIABILITY;

EID: 33846170090     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Shafer G. A mathematical theory of evidence[M]. Princeton, NJ: Princeton Univ Press, 1976.
2. Smets P, Kennes R. The transferable belief model[J]. Artificial Intelligence, 1994, 66: 191-243.
3. Lefevre E, Colot O, Vannoorenberghe P. Belief functions combination and conflict management[J]. Information Fusion, 2002, 3(2): 149-162.
4. Yager R R. On the Dempster-Shafer framework and new combination rules[J]. Information Science, 1989, 41(2): 93-137.
5. Haenni R. Are alternative to Dempster's rule of combination real alternative? Comments on 'About the belief function combination and the conflict management problem'-Lefevre et al[J]. Information Fusion, 2002, 3(3): 237-239.
6. HE Bing, HU Wen-li. Multi-level DS evidence combination strategy[J]. Journal of the Computer Engineering and Applications, 2004, 10: 88-90.
7. LIN Zuo-quan, MOU Ke-dian, HAN Qing. An approach to combination of conflicting evidences by disturbance of ignorance[J]. Journal of Software. 2004, 18(5): 1150-1156.
8. HE Bing, HU Wen-li. A modified DS evidence combination strategy[J]. Acta Aeronautica et Astronautica Sinica, 2003, 24(6): 559-562.
9. Murphy K. Combing belief functions when evidence conflicts[J]. Decision Support System, 2000, 29: 1-9.
10. FefsOii S, Kreinovich V. Representation, propagation, find aggregation of uncertainty[R], New Mexico, USA: SANDIA National Laboratories, 2002.
11. SUN Quan, YE Xiu-qing, GU Wei-kang. A new combination rules of evidence theory[J]. Acta Elec-tronica Sinica, 2000, 28(8): 117-119.
12. Dubois D, Prade H. Default reasoning and possibility theory[J] Artificial Intelligence, 1988, 35(2): 243-257.
13. ZHANG Shan-ying, PAN Quan, ZHANG Hong-cai. Conflict problem of Dempster-Shafer evidence theory[J]. Acta Aeronautica et Astronautica Sinica, 2001, 21(4), 369-372.
14. WANG Zhuang, HU Wei-dong, YU Wen-xian, et al. A combination rule of conflict evidence based on proportional belief assignment[J]. Acta Electronica Sirica, 2001, 29(12A): 1852-1855.
15. Jousselme A L, Grenier D, Bosse E. A new distance between two bodies of evidence[J]. Information Fusion, 2001, 2: 91-101.
16. HE Bing, HAO Ai-ming, ZHAO Qin-ping. A decision-making method based on uncertain information[J]. Chinese Journal of Computers, 2004, 27(2): 281-285.