Information fusion across expert groups with dependent and independent components

Victor M. Vergara; Shan Xia; Thomas P. Caudell

doi:10.1117/12.818669

13 April 2009 Information fusion across expert groups with dependent and independent components

Victor M. Vergara; Shan Xia; Thomas P. Caudell

Author Affiliations +

Proceedings Volume 7345, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009; 73450C (2009) https://doi.org/10.1117/12.818669
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Victor M. Vergara, Victor M. Vergara, Shan Xia, Shan Xia, Thomas P. Caudell, Thomas P. Caudell, } "Information fusion across expert groups with dependent and independent components", Proc. SPIE 7345, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009, 73450C (13 April 2009); doi: 10.1117/12.818669; https://doi.org/10.1117/12.818669

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