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International Workshop on Fuzzy Logic and Applications

WILF 2016: Fuzzy Logic and Soft Computing Applications pp 85–94Cite as

Reasoning with Information Granules to Support Situation Classification and Projection in SA

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10147))

Abstract

We present our results on the adoption of a set theoretic framework for Granular Computing in the domain of Situation Awareness. Specifically, we present two cases of reasoning with granules and granular structures devoted, respectively, to support human operators in (i) classifying situations on the basis of a set of incomplete observations using abductive reasoning, and (ii) obtaining early warning information on situation projections reasoning on granular structures.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione ed Elettrica e Matematica Applicata, University of Salerno, 84084, Fisciano, Salerno, Italy

    Angelo Gaeta

  2. Dipartimento di Scienze Aziendali, Management and Innovation Systems, University of Salerno, 84084, Fisciano, Salerno, Italy

    Vincenzo Loia & Francesco Orciuoli

Authors
  1. Angelo Gaeta
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  2. Vincenzo Loia
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  3. Francesco Orciuoli
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Corresponding author

Correspondence to Angelo Gaeta .

Editor information

Editors and Affiliations

  1. University of Naples “Parthenope”, Naples, Italy

    Alfredo Petrosino

  2. University of Salerno, Fisciano, (Salerno), Italy

    Vincenzo Loia

  3. University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

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© 2017 Springer International Publishing AG

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Gaeta, A., Loia, V., Orciuoli, F. (2017). Reasoning with Information Granules to Support Situation Classification and Projection in SA. In: Petrosino, A., Loia, V., Pedrycz, W. (eds) Fuzzy Logic and Soft Computing Applications. WILF 2016. Lecture Notes in Computer Science(), vol 10147. Springer, Cham. https://doi.org/10.1007/978-3-319-52962-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-52962-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52961-5

  • Online ISBN: 978-3-319-52962-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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