• Sign In / Register
  • Help
  • Basket0
Granular Computing: An Introduction - The Springer International Series in Engineering and Computer Science 717 (Paperback)
  • Granular Computing: An Introduction - The Springer International Series in Engineering and Computer Science 717 (Paperback)
zoom

Granular Computing: An Introduction - The Springer International Series in Engineering and Computer Science 717 (Paperback)

(author), (author)
£206.50
Paperback 452 Pages / Published: 31/10/2012
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461353614
Number of pages: 452
Weight: 730 g
Dimensions: 235 x 155 x 24 mm
Edition: Softcover reprint of the original 1st ed. 200

You may also be interested in...

Machine Learning for Hackers
Added to basket
Bayesian Reasoning and Machine Learning
Added to basket
The Singularity is Near
Added to basket
Artificial Intelligence: The Basics
Added to basket
Introducing Artificial Intelligence
Added to basket
Probabilistic Graphical Models
Added to basket
Understanding Beliefs
Added to basket
The Quest for Artificial Intelligence
Added to basket
Probabilistic Robotics
Added to basket
Practical Augmented Reality
Added to basket
Superintelligence
Added to basket
£18.99
Hardback
Dark Pools
Added to basket
£9.99
Paperback
Machine Learning
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.