Toward interactive computations: A Rough-Granular approach

Abstract

We present an overview of Rough Granular Computing (RGC) approach to modeling complex systems and processes. We discuss the granular methodology in conjunction with paradigms originating in rough sets, such as approximation spaces. We attempt to show the methodology aimed at construction of complex concepts from raw data in hierarchical manner. We illustrate, how the inclusion of domain knowledge, relevant ontologies, and interactive consensus finding leads to more potent granular models for processes. © 2010 Springer-Verlag Berlin Heidelberg.