Title: Metastructural facets of granular computing

Authors: Witold Pedrycz

Addresses: Department of Electrical and Computer Engineering, University of Alberta, Edmonton AB T6R 2G7, Canada; System Research Institute, Polish Academy of Sciences, Warsaw, Poland

Abstract: In this study, we pursue fundamental ideas of granular computing by concentrating on further conceptual developments of metastructures which are inherently associated with computing involving a large number of distributed datasets. We show that such processing leads to the representatives of information granules and granular models in the form of metastructures and metamodels. The formulation of the concept is provided and presented along with some essential algorithmic developments and pertinent optimisation strategies.

Keywords: granular computing; hierarchy; metastructures; consensus building; fuzzy sets; clustering; metamodels; evolutionary optimisation.

DOI: 10.1504/IJKESDP.2009.021981

International Journal of Knowledge Engineering and Soft Data Paradigms, 2009 Vol.1 No.1, pp.11 - 25

Published online: 15 Dec 2008 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article