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Books > Science & Mathematics > Mathematics > Mathematical foundations
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Granular Computing - An Introduction (Paperback, Softcover reprint of the original 1st ed. 2003)
Loot Price: R5,193
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Granular Computing - An Introduction (Paperback, Softcover reprint of the original 1st ed. 2003)
Series: The Springer International Series in Engineering and Computer Science, 717
Expected to ship within 18 - 22 working days
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This book is about Granular Computing (GC) - an emerging conceptual
and of information processing. As the name suggests, GC concerns
computing paradigm processing of complex information entities -
information granules. In essence, information granules arise in the
process of abstraction of data and derivation of knowledge from
information. Information granules are everywhere. We commonly use
granules of time (seconds, months, years). We granulate images;
millions of pixels manipulated individually by computers appear to
us as granules representing physical objects. In natural language,
we operate on the basis of word-granules that become crucial
entities used to realize interaction and communication between
humans. Intuitively, we sense that information granules are at the
heart of all our perceptual activities. In the past, several formal
frameworks and tools, geared for processing specific information
granules, have been proposed. Interval analysis, rough sets, fuzzy
sets have all played important role in knowledge representation and
processing. Subsequently, information granulation and information
granules arose in numerous application domains. Well-known ideas of
rule-based systems dwell inherently on information granules.
Qualitative modeling, being one of the leading threads of AI,
operates on a level of information granules. Multi-tier
architectures and hierarchical systems (such as those encountered
in control engineering), planning and scheduling systems all
exploit information granularity. We also utilize information
granules when it comes to functionality granulation, reusability of
information and efficient ways of developing underlying information
infrastructures.
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