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A Note on Filtration and Granular Reasoning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

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Abstract

The filtration method in modal logic is considered to develop a way of formulating an aspect of granular reasoning, which, roughly speaking, means human reasoning based on granularity. The method, however, originates in purely logical problems like decidability. Then, for our purpose, an extended concept of relative filtration is newly introduced using lower and upper approximations in rough set theory. An example of reasoning process using the relative filtration is illustrated.

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References

  1. Chellas, B.F. (1980): Modal Logic: An Introduction. Cambridge Univ. Press, Cambridge

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  2. Lin, T.Y. (1998): Granular Computing on Binary Relation, I Data Mining and Neighborhood Systems, II Rough Set Representations and Belief Functions. L. Polkowski and A. Skowron (eds.), Rough Sets in Knowledge Discovery 1: Methodology and Applications, Physica-Verlag, Heidelberg, 107–121, 122-140

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  3. Pawlak, Z. (1991): Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer, Dordrecht

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© 2001 Springer-Verlag Berlin Heidelberg

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Murai, T., Nakata, M., Sato, Y. (2001). A Note on Filtration and Granular Reasoning. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_51

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  • DOI: https://doi.org/10.1007/3-540-45548-5_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

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