Evidential Force Aggregation

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dc.creatorSchubert, Johan
dc.date2003-09-15
dc.date.accessioned2026-07-07T03:20:20Z
dc.date.available2026-07-07T03:20:20Z
dc.descriptionIn this paper we develop an evidential force aggregation method intended for classification of evidential intelligence into recognized force structures. We assume that the intelligence has already been partitioned into clusters and use the classification method individually in each cluster. The classification is based on a measure of fitness between template and fused intelligence that makes it possible to handle intelligence reports with multiple nonspecific and uncertain propositions. With this measure we can aggregate on a level-by-level basis, starting from general intelligence to achieve a complete force structure with recognized units on all hierarchical levels.
dc.description7 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cs/0309025
dc.identifierhttp://arxiv.org/abs/cs/0309025
dc.identifierin Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), pp. 1223-1229, Cairns, Australia, 8-11 July 2003, International Society of Information Fusion, 2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31788
dc.subjectArtificial Intelligence
dc.subjectI.2.3; I.5.2
dc.titleEvidential Force Aggregation
dc.typetext

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