Combining fuzziness and context sensitivity in game based models of vague quantification

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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.

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Fermüller, C. G. (2015). Combining fuzziness and context sensitivity in game based models of vague quantification. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 9376, pp. 19–31). Springer Verlag. https://doi.org/10.1007/978-3-319-25135-6_4

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