New fusion approach based on distance of evidences

Journal of Zhejiang University: Science

Volumn 6 A, Issue 5, 2005, Pages 476-482

  Chen, Liang Zhou ^a   Shi, Wen Kang ^a   Deng, Yong ^a   Zhu, Zhen Fu ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b National Key Laboratory on Optical Features of Environment and Target   (China)

Author keywords

Combination rules; Conflicting evidence; Data fusion; Evidence credibility; Evidence distance

Indexed keywords

AUTOMATIC TARGET RECOGNITION; CONVERGENCE OF NUMERICAL METHODS; DATA PROCESSING; INFORMATION ANALYSIS;

BASIC PROBABILITY ASSIGNMENT; CONFLICTING EVIDENCE; DATA FUSION; DEMPSTER'S COMBINATION RULES; EVIDENCE CREDIBILITY; EVIDENCE DISTANCE;

COMBINATORIAL MATHEMATICS;

EID: 19044397448     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2005.A0476     Document Type: Article

References (15)

1. Dempster, A., 1967. Upper and lower probabilities induced by a multi-valued mapping. Ann. Math. Stat., 38: 325-339.
2. Dubois, D., Prade, H., 1998. Representation and combination of uncertainty with belief functions and possibility measures. Computational Intelligence, 4: 244-264.
3. Goodman, I., Mahler, R.P.S., Nguyen, H.T., 1997. Mathematics of Data Fusion. Kluwer Academic Publishers, Dordrecht.
4. Hall, D.L., Linas, J., 2001. Handbook of Multisensor Data Fusion. CRC Press.
5. Jousselme, A.L., Grenier, D., Bosse, E., 2001. A new distance between two bodies of evidence. Information Fusion, 2: 91-101.
6. Lefevre, E., Colot, O., Vannoorenberghe, P., 2002. Belief function combination and conflict management. Information Fusion, 3: 149-162.
7. Linas, J., Waltz, E., 1990. Multisensor Data Fusion. Artech House, Massachusetts.
8. Murphy, C.K., 2000. Combining belief functions when evidence conflicts. Decisions Support Systems, 29: 1-9.
9. Pearl, J., 1990. Reasoning with belief functions: an analysis of compatibility. Int J of Approx Reason, 4: 636-389.
10. Shafer, G., 1976. A Mathematical Theory of Evidence. Princeton University Press.
11. Smets, P., 1990. The combination of evidence in the transferable belief model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(5): 447-458.
12. Smets, P., 1993. Belief functions: the disjunctive rule of combination and the generalized Bayesian theorem. Int J Approx Reason, 9: 1-35.
13. Voorbraak, F., 1991. On the justification of Dempster's rule of combination. Artificial Intelligence, 48: 253-286.
14. Yager, R.R., 1986. On the Dempster-Shafer framework and new combination rules. Information Science, 41(2): 93-137.
15. Zadeh, L., 1986. A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination. AI Mag, 7(1): 85-90.