Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of MultipleTarget Tracks (Thesis 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 [7]. This thesis [4, 5] contains five results regarding multiple target tracks and intelligence specification. The objective of this work is to develop methods that will offer decision support to anti-submarine warfare intelligence analysts. The methods partitions intelligence reports into subsets. Each subset represents a possible submarine. It is able to reason simultaneously about the optimal number of submarines , which may be uncertain, and the optimal