Granular computing using information tables

Authors:
Y. Y. Yao;Ning Zhong
Affiliations:
Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2;Department of Computer Science and Systems Engineering, Faculty of Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube 755, Japan
Venue:
Data mining, rough sets and granular computing
Year:
2002

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Abstract

A simple and more concrete granular computing model may be developed using the notion of information tables. In this framework, each object in a finite nonempty universe is described by a finite set of attributes. Based on attribute values of objects, one may decompose the universe into parts called granules. Objects in each granule share the same or similar description in terms of their attribute values. Studies along this line have been carried out in the theories of rough sets and databases. Within the proposed model, this paper reviews the pertinent existing results and presents their generalizations and applications.