From granulation hierarchy to granular perspective

It is well-known that one can granulate data and information in multiple ways to generate a plethora of granulation hierarchies each with their levels of granularity. It is left implicit what the characteristics of such hierarchies are, and what consequences they have on levels of granularity. We propose a way to represent such additional information of granulation hierarchies by upgrading them to full granular perspectives and to provide a consistent way to uniquely identify, hence, distinguish, such perspectives based on their semantics by using a criterion and type of granularity used for granulation. In addition, with the chosen premises, definitions, and proven properties, we demonstrate some consequences for characterising levels of granularity within such granular perspectives.

• Type: Conference
• Year: 2009
• Where: GRC
• Authors: C. Maria Keet
• Keywords: Applied Computing, Granular Perspectives, Granulation Hierarchies, GRC 2009, Multiple Ways