Comparison of granular computing models in a set-theoretic framework

Authors:
Ying Wang;Duoqian Miao
Affiliations:
Department of Computer Science and Technology, Tongji University, Shanghai, P.R. China;Department of Computer Science and Technology, Tongji University, Shanghai, P.R. China
Venue:
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Year:
2012

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Abstract

Many granular computing models have been proposed. A set-theoretic framework for constructing granules is easy to understand. A granule is a subset of a universal set, and a granular structure is a family of subsets of the universal set. By comparing set-based granular structures, the relationships and differences among rough set modal, hierarchical multi-dimensional data model and multi-granulation rough set model are discussed in this paper.