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Combining Fuzziness and Context Sensitivity in Game Based Models of Vague Quantification

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

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

Abstract

We introduce a game semantic approach to fuzzy models of vague quantification that addresses a number of problems with previous frameworks. The main tool is the introduction of a new logical operator that supports context based evaluations of suitably quantified formulas.

C.G. Fermüller—Supported by Austrian Science Fund (FWF) I1827-N25.

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Author information

Authors and Affiliations

  1. Vienna University of Technology, Vienna, Austria

    Christian G. Fermüller

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  1. Christian G. Fermüller
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Correspondence to Christian G. Fermüller .

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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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Fermüller, C.G. (2015). Combining Fuzziness and Context Sensitivity in Game Based Models of Vague Quantification. 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_4

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  • DOI: https://doi.org/10.1007/978-3-319-25135-6_4

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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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