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Epistemic Uncertainty Modeling: The-state-of-the-art

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Book cover Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9376))

Abstract

This paper is about the state-of-the-art of epistemic uncertainty modeling from subjective probability (Thomas Bayes) to fuzzy measures (Michio Sugeno).

Dedicated to Michio Sugeno

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Author information

Authors and Affiliations

  1. New Mexico State University, Las Cruces, USA

    Hung T. Nguyen

  2. Chiang Mai University, Chiang Mai, Thailand

    Hung T. Nguyen

Authors
  1. Hung T. Nguyen
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Correspondence to Hung T. Nguyen .

Editor information

Editors and Affiliations

  1. Science and Technology, Japan Advanced Institute of, Nomi, Japan

    Van-Nam Huynh

  2. Science, Dept of Systems Innovation, Osaka University,Graduate School of, Osaka, Japan

    Masahiro Inuiguchi

  3. Université de Technologie de Compiègne, Compiègne, France

    Thierry Demoeux

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Nguyen, H.T. (2015). Epistemic Uncertainty Modeling: The-state-of-the-art. In: Huynh, VN., Inuiguchi, M., Demoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science(), vol 9376. Springer, Cham. https://doi.org/10.1007/978-3-319-25135-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-25135-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25134-9

  • Online ISBN: 978-3-319-25135-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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