Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of MultipleTarget Tracks (Thesis Abstract)

2003/05/16 by Johan Schubert
Computer Science · #cs.AI #cs.NE

paper · pdf

published as AI Communications 8(2) (1995) 107-110 · 4 pages, 1 figure

arxiv created 2003/05/16 · arxiv updated 2009/11/30

Abstract

In Intelligence Analysis it is of vital importance to manage uncertainty. Intelligence data is almost always uncertain and incomplete, making it necessary to reason and taking decisions under uncertainty. One way to manage the uncertainty in Intelligence Analysis is Dempster-Shafer Theory. This thesis contains five results regarding multiple target tracks and intelligence specification.

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