In the theory of belief functions, distances between basic belief assignments are very important in many applications like clustering, conflict measuring, reliability estimation. In the discrete domain, many measures have been proposed, however, distance between continuous belief functions have been marginalized due to the nature of these functions. In this paper, we propose an adaptation inspired from the Jousselme's distance for continuous belief functions. © 2012 Springer-Verlag.
CITATION STYLE
Attiaoui, D., Doré, P. E., Martin, A., & Ben Yaghlane, B. (2012). A distance between continuous belief functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7520 LNAI, pp. 194–205). https://doi.org/10.1007/978-3-642-33362-0_15
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