Uncertainty-Sensitive Heterogeneous Information Fusion

Presents research on methods for heterogeneous information fusion-combining data that are qualitative, subjective, fuzzy, ambiguous, contradictory, and even deceptive, in order to form a realistic assessment of threat in a counterterrorism context.

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