(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.
Types of granulation
As mentioned above, granular computing
is not an algorithm or process; there is not a particular method that is called "granular computing". It is rather an approach to looking at data that recognizes that different and interesting regularities in the data can appear at different levels of granularity, much as different features become salient in satellite images
of greater or lesser resolution. On a low resolution satellite image, for example, one might notice interesting cloud patterns... Read More