Abstract
Granular computing offers a new paradigm of computation that exploits varying sized data, information, knowledge, and wisdom granules. It may be interpreted in terms of nature-inspired computing, human-centered computing, and machine-oriented computing. In this tutorial, I look at the past and the present, and probe the future, of granular computing based on the triarchic theory/model of granular computing.
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© 2008 Springer-Verlag Berlin Heidelberg
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Yao, Y.(.Y.). (2008). Granular Computing: Past, Present, and Future. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2008. Lecture Notes in Computer Science(), vol 5009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79721-0_8
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DOI: https://doi.org/10.1007/978-3-540-79721-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79720-3
Online ISBN: 978-3-540-79721-0
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