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Performance Evaluation of TEWA Systems for Improved Decision Support
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. University of Skövde, Skövde Artificial Intelligence Lab (SAIL).
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. University of Skövde, Skövde Artificial Intelligence Lab (SAIL).ORCID iD: 0000-0001-8884-2154
2009 (English)In: Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2009) / [ed] Vicenç Torra, Yasuo Narukawa, Masahiro Inuiguchi, Springer Berlin/Heidelberg, 2009, 205-216 p.Conference paper, Published paper (Refereed)
Abstract [en]

In air defense situations, decision makers have to protect defended assets through assigning available firing units to threatening targets in real-time. To their help they have decision support systems known as threat evaluation and weapon allocation (TEWA) systems. The problem of performance evaluation of such systems is of great importance, due to their critical role. Despite this, research on this problem is close to non-existing. We are discussing the use of survivability and resource usage cost as comparative performance metrics, which can be used for comparing the effectiveness of different system configurations, by using simulations. These metrics have been implemented into a testbed, in which we have performed some comparative experiments. Our results show that changes of individual parts of the threat evaluation and weapon allocation system configuration can have a large effect on the effectiveness of the system as a whole, and illustrate how the metrics and the testbed can be used.

 

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2009. 205-216 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5861 LNAI
Keyword [en]
Performance evaluation, testbed, TEWA, threat evaluation, weapon allocation
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3537DOI: 10.1007/978-3-642-04820-3_19ISI: 000276970400019Scopus ID: 2-s2.0-84886568234ISBN: 978-3-642-04819-7 ISBN: 978-3-642-04820-3 OAI: oai:DiVA.org:his-3537DiVA: diva2:284544
Conference
Modeling Decisions for Artificial Intelligence: 6th International Conference, MDAI 2009, Awaji Island, Japan, November 30–December 2, 2009
Available from: 2010-01-07 Created: 2010-01-07 Last updated: 2015-01-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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