Granular Computing Theory

See: Rough Set Theory, Theory.

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• (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Granular_computing
  • Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional adjacency, indistinguishability, coherency, or the like.
  • At present, granular computing is more a theoretical perspective than a coherent set of methods or principles. As a theoretical perspective, it encourages an approach to data that recognizes and exploits the knowledge present in data at various levels of resolution or scales. In this sense, it encompasses all methods which provide flexibility and adaptability in the resolution at which knowledge or information is extracted and represented.

• A Bargiela, and W Pedrycz. (2003). Granular Computing: An Introduction
  • http://scholar.google.com/scholar?q=Granular+Computing%3A+An+Introduction+&btnG=Search
• W Pedrycz. (2007). Granular Computing-The Emerging Paradigm. Journal of Uncertain Systems, 2007.
  • http://scholar.google.com/scholar?q=Granular+Computing-The+Emerging+Paradigm

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