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Data Fusion and simulation as decision support system in naval operations
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bruzzone, Agostino G. Corso, Massimiliano Longo, Francesco Massei, Marina Tremori, Alberto |
| Copyright Year | 2014 |
| Abstract | 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. |
| Starting Page | 243 |
| Ending Page | 250 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.msc-les.org/proceedings/hms/2014/HMS2014_243.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
