Algebra of Dempster-Shafer evidence accumulation

Robert H. Enders; Andrzej K. Brodzik; Michael R. Pellegrini

doi:10.1117/12.784944

17 April 2008 Algebra of Dempster-Shafer evidence accumulation

Robert H. Enders, Andrzej K. Brodzik, Michael R. Pellegrini

Proceedings Volume 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII; 696810 (2008) https://doi.org/10.1117/12.784944
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this work we focus on the relationship between the Dempster-Shafer (DS) and Bayesian evidence accumulation. While it is accepted that the DS theory is, in a certain sense, a generalization of the probability theory, the approaches vary in several important respects, including the treatment of uncertain information and the way the evidence is combined, making direct comparison of results of the two analyses difficult. In this work we ameliorate these difficulties by proposing a mathematical framework within which the relationship between the two methods can be made precise. The findings of the investigation elucidate the role uncertainty plays in the DS theory and enable evaluation of relative fitness of the two techniques for practical data fusion scenarios.

Citation Download Citation

Robert H. Enders, Andrzej K. Brodzik, and Michael R. Pellegrini "Algebra of Dempster-Shafer evidence accumulation", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 696810 (17 April 2008); https://doi.org/10.1117/12.784944

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