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Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2008 (English)In: Interval / Probabilistic Uncertainty and Non-Classical Logics / [ed] Van-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen, Springer Berlin/Heidelberg, 2008, 70-84 p.Conference paper, (Other academic)
Abstract [en]

The main goal of information fusion can be seen as improving human or automatic decision-making by exploiting diversities in information from multiple sources. High-level information fusion aims specifically at decision support regarding situations, often expressed as “achieving situation awareness”. A crucial issue for decision making based on such support is trust that can be defined as “accepted dependence”, where dependence or dependability is an overall term for many other concepts, e.g., reliability. This position paper reports on ongoing and planned research concerning imprecise probability as an approach to improved dependability in high-level information fusion. We elaborate on high-level information fusion from a generic perspective and a partial mapping from a taxonomy of dependability to high-level information fusion is presented. Three application domains: defense, manufacturing, and precision agriculture, where experiments are planned to be implemented are depicted. We conclude that high-level information fusion as an application-oriented research area, where precise probability (Bayesian theory) is commonly adopted, provides an excellent evaluation ground for imprecise probability.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2008. 70-84 p.
Series
Advances in Soft Computing, ISSN 1615-3871 ; 46
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2778DOI: 10.1007/978-3-540-77664-2_7ISI: 000254887600007Scopus ID: 2-s2.0-58149119794ISBN: 978-3-540-77663-5 OAI: oai:DiVA.org:his-2778DiVA: diva2:174836
Conference
International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics (UncLog'08), Ishikawa, Japan, March 25-28, 2008
Note

Proceedings of International Workshop on Interval/Probabilistic Uncertainty and Non-Classical Logics (UncLog)

Available from: 2009-02-25 Created: 2009-02-25 Last updated: 2013-03-17Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
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More styles
Language
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