Granular Computing

Granular computing (GrC) 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 or physical 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.

Read more about Granular ComputingTypes of Granulation, Different Interpretations of Granular Computing

Other articles related to "granular computing":

Different Interpretations of Granular Computing
... Granular computing can be conceived as a framework of theories, methodologies, techniques, and tools that make use of information granules in the process of problem solving ... In this sense, granular computing is used as an umbrella term to cover topics that have been studied in various fields in isolation ... By examining all of these existing studies in light of the unified framework of granular computing and extracting their commonalities, it may be possible to develop a ...

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