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Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics

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Integrated Uncertainty Management and Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 68))

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Abstract

This paper makes some consideration on representing the concepts of sequences, multisets, and usual subsets in the framework of Kripke semantics. First, a Carnap model, which is a tuple of a non-empty set of possible worlds and a valuation mapping, that is, a Kripke model without a binary relation on the nonempty set, is shown to represent, in general, a multiset, and in special case, a subset. Also sequences and digital images are represented by special kinds of Kripke models. Further, when a binary relation on the non-empty set, two approximation operators can be defined.

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Murai, T., Ubukata, S., Kudo, Y., Akama, S., Miyamoto, S. (2010). Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics. In: Huynh, VN., Nakamori, Y., Lawry, J., Inuiguchi, M. (eds) Integrated Uncertainty Management and Applications. Advances in Intelligent and Soft Computing, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11960-6_30

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  • DOI: https://doi.org/10.1007/978-3-642-11960-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11959-0

  • Online ISBN: 978-3-642-11960-6

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