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Structure-based approaches to attribute reduction in variable precision rough set models

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1 Author(s)
M. Inuiguchi ; Dept. of Syst. Innovation, Osaka Univ., Japan

In this paper, structure-enhancing approaches to attribute reduction are proposed. Ten kinds of meaningful reducts are defined. The relations among them are clarified. Moreover their relations to reducts by structure-preserving approaches are also investigated. A few computational approaches to the proposed reducts are briefly described.

Published in:

2005 IEEE International Conference on Granular Computing  (Volume:1 )

Date of Conference:

25-27 July 2005