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Proceedings Paper

Information fusion across expert groups with dependent and independent components
Author(s): Victor M. Vergara; Shan Xia; Thomas P. Caudell
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Paper Abstract

Predicting a single agency's effectiveness to reduce the consequences of a malicious event is a complex problem. It is even more complex to predict the overall effectiveness of a group of agencies considering the possible interdependency of their portfolio of actions. However, this is an essential task in disaster management arena. This work proposes a method to fuse individual effectiveness provided by subject matter experts, considering the dependency among agencies, to predict the holistic effectiveness. It can be applied to agency groups that are dependent, partially dependent, or completely independent. Simulation results illustrate the method.

Paper Details

Date Published: 13 April 2009
PDF: 12 pages
Proc. SPIE 7345, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009, 73450C (13 April 2009); doi: 10.1117/12.818669
Show Author Affiliations
Victor M. Vergara, The Univ. of New Mexico (United States)
Shan Xia, The Univ. of New Mexico (United States)
Thomas P. Caudell, The Univ. of New Mexico (United States)


Published in SPIE Proceedings Vol. 7345:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009
Belur V. Dasarathy, Editor(s)

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