Uncertainty-sensitive heterogeneous information fusion : assessing threat with soft, uncertain, and conflicting evidence /
Paul K. Davis, Walter L. Perry, John S. Hollywood, David Manheim.
Bok Engelsk
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| Opplysninger | Introduction -- Concepts, Methods, and a Research Platform -- Creating Synthetic Data : Vignettes for Testing -- Simple and Bayesian Fusion Methods -- The Maximum Entrophy / Minimum Penalty Fusion Method -- Illustrative Analysis -- Conclusions and Recommendations.. - "An element of thwarting terrorist attacks is observing suspicious individuals over time with such diverse means as scanners and other devices, travel records, behavioral observations, and intelligence sources. Such observations provide data that are often both complex and "oft" -- i.e., qualitative, subjective, fuzzy, or ambiguous -- and also contradictory or even deceptive. Analysts face the challenge of heterogeneous information fusion -- that is, combining such data to form a realistic assessment of threat. This report presents research on various heterogeneous information fusion methods and describes a research prototype system for fusing uncertainty-sensitive heterogeneous information. The context is counterterrorism, for both military and civilian applications, but the ideas are also applicable in intelligence and law enforcement."--Back cover.
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| Dewey |
