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Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

In this paper, we present a survey of new developments in rough mereology, i.e. approximate calculus of parts, an approach to reasoning under uncertainty based on the notion of an approximate part (part to a degree) along with pointers to its main applications. The paradigms of Granule Computing (GC), Computing with Words (CWW) and Spatial Reasoning (SR) are particularly suited to a unified treatment by means of Rough Mereology (RM).

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© 2003 Springer-Verlag Berlin Heidelberg

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Polkowski, L. (2003). Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_14

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  • DOI: https://doi.org/10.1007/3-540-39205-X_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

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