Information fusion across expert groups with dependent and independent components
Victor Manuel Vergara, Shan Xia, Thomas P. Caudell · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.