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The Art of Granular Computing

  • Conference paper
Rough Sets and Intelligent Systems Paradigms (RSEISP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4585))

Abstract

The current research in granular computing is dominated by set-theoretic models such as rough sets and fuzzy sets. By recasting the existing studies in a wider context, we propose a unified framework of granular computing. The new framework extends results obtained in the set-theoretic setting and extracts high-level common principles from a wide range of scientific disciplines. The art of granular computing for problem solving emerges from the resulting common philosophy, methodology and information processing paradigm. Granular computing stresses not only the need for rigor, structure, conciseness and clarity, but also the importance of conscious effects and wisdom in using powerful strategies and heuristics in stating and solving problems.

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Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Saskatchewan,S4S 0A2, Canada

    Yiyu Yao

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  1. Yiyu Yao
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Marzena Kryszkiewicz James F. Peters Henryk Rybinski Andrzej Skowron

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Yao, Y. (2007). The Art of Granular Computing. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds) Rough Sets and Intelligent Systems Paradigms. RSEISP 2007. Lecture Notes in Computer Science(), vol 4585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73451-2_12

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  • DOI: https://doi.org/10.1007/978-3-540-73451-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73450-5

  • Online ISBN: 978-3-540-73451-2

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