PROCEEDINGS IPMU '08
Detection of defective sources with belief functions
Francois Delmotte, David Gacquer.
This paper studies the fusion of several sources
with belief functions. Different operators have
been defined but they have problems with
conflicting data: rules are either very imprecise,
or very sensitive. Discounting factors enable to
weight the influences of sources, and solve some
problems, but we have to estimate correctly
these factors. We propose to estimate them from
the conflicts between the sources and from past
knowledge about the qualities of sources. With
the assumption that conflicts come from
defective sources, an algorithm is proposed to
detect such sources and to lower conflicts.
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