Data fusion and simulation as decision support system in naval operations

This paper proposes an approach for creating a decision support system in Naval Operation combining statistical approaches with modeling and simulation; it is proposed as case study the problem of maritime piracy; in this context data fusion based on Bayesian Networks and Dempster-Shafer could be applied to develop innovative classification solution to identify suspect behaviors and to support to the Naval Planner; indeed this paper focuses on the use of a discrete event simulator in order to create the evaluation framework to measure the effectiveness of the proposed classification approaches respect a realistic scenario inspired by Aden Gulf piracy.