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A Comparison between Two Approaches to Threat Evaluation in an Air Defense Scenario
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL).
Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL). Högskolan i Skövde, Institutionen för kommunikation och information.ORCID-id: 0000-0001-8884-2154
2008 (engelsk)Inngår i: Modeling Decisions for Artificial Intelligence: 5th International Conference, MDAI 2008 Sabadell, Spain, October 30-31, 2008. Proceedings, Springer Berlin/Heidelberg, 2008, s. 110-121Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

 Threat evaluation is a high-level information fusion problem of high importance within the military domain. This task is the foundation for weapons allocation, where assignment of blue force (own) weapon systems to red force (enemy) targets is performed. In this paper, we compare two fundamentally different approaches to threat evaluation: Bayesian networks and fuzzy inference rules. We conclude that there are pros and cons with both types of approaches, and that a hybrid of the two approaches seems both promising and viable for future research.

 

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2008. s. 110-121
Serie
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 5285
Emneord [en]
Bayesian networks, fuzzy inference rules, fuzzy logic, threat assessment, threat evaluation, weapons allocation
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URN: urn:nbn:se:his:diva-2419DOI: 10.1007/978-3-540-88269-5_11ISI: 000261348700011Scopus ID: 2-s2.0-58049107646ISBN: 978-3-540-88268-8 ISBN: 978-3-540-88269-5 OAI: oai:DiVA.org:his-2419DiVA, id: diva2:127259
Konferanse
5th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2008; Sabadell; Spain; 30 October 2008 through 31 October 2008
Tilgjengelig fra: 2008-12-03 Laget: 2008-12-03 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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