Editing Granular computing (section)

{{short description|Computing paradigm based on information entities ("granules")}}
 
'''Granular computing''' is an emerging [[computing]] paradigm of [[Data processing|information processing]] that concerns the processing of complex information entities called "information [[granulation|granules]]", which arise in the process of data abstraction and [[knowledge extraction|derivation of knowledge]] from information or data.  Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their [[Similarity measure|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.