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Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion

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Interval / Probabilistic Uncertainty and Non-Classical Logics

Part of the book series: Advances in Soft Computing ((AINSC,volume 46))

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Summary

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.

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Authors and Affiliations

  1. School of Humanities and Informatics, University of Skövde, Sweden

    Alexander Karlsson, Ronnie Johansson & Sten F. Andler

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  1. Alexander Karlsson
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  2. Ronnie Johansson
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  3. Sten F. Andler
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Editor information

Van-Nam Huynh Yoshiteru Nakamori Hiroakira Ono Jonathan Lawry Vkladik Kreinovich Hung T. Nguyen

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© 2008 Springer-Verlag Berlin Heidelberg

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Karlsson, A., Johansson, R., Andler, S.F. (2008). Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion. In: Huynh, VN., Nakamori, Y., Ono, H., Lawry, J., Kreinovich, V., Nguyen, H.T. (eds) Interval / Probabilistic Uncertainty and Non-Classical Logics. Advances in Soft Computing, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77664-2_7

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  • DOI: https://doi.org/10.1007/978-3-540-77664-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77663-5

  • Online ISBN: 978-3-540-77664-2

  • eBook Packages: EngineeringEngineering (R0)

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