Abstract
Military decision support and simulation training tools are mostly complex and large-scale IT systems and therefore multi-resolution distributed simulation models have been playing a leading role. The paper considers an approach which combines a graph theory, HLA simulation standard, a special ontology and rough set formalisms into a synergistic software. The first issue is the way to enhance HLA object model by an ontology. The subsequent problem is construction of a software plugin to explicit handle shared information. Furthermore, the Rough Set Theory provides the solid foundation for the construction of classifiers as well as generation of decision rules from dataset. The proposed approach might be perceived in terms of distributed computational intelligence and ontology-based information sharing.
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PierzchaĆa, D. (2014). Application of Ontology and Rough Set Theory to Information Sharing in Multi-resolution Combat M&S. In: Sobecki, J., Boonjing, V., Chittayasothorn, S. (eds) Advanced Approaches to Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-319-05503-9_19
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DOI: https://doi.org/10.1007/978-3-319-05503-9_19
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