Abstract
The effectiveness of a multi-source information fusion process for decision making highly depends on the quality of information that is received and processed. This paper proposes methods for incorporating reliability, as one of the attributes of the quality of information, into the Thresholded Dempster-Shafer fusion algorithm for Electronic Support Measure (ESM) data fusion and delivers its quantitative assessment by evaluating statistically the performance of the fusion algorithm. The results suggest that accounting for the reliability of information in the fusion algorithm will lead to an improved decision making.
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© 2012 Springer-Verlag Berlin Heidelberg
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Hadzagic, M., St-Hilaire, MO., Valin, P. (2012). Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion. In: Denoeux, T., Masson, MH. (eds) Belief Functions: Theory and Applications. Advances in Intelligent and Soft Computing, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29461-7_31
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DOI: https://doi.org/10.1007/978-3-642-29461-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29460-0
Online ISBN: 978-3-642-29461-7
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