Paper:
Language: English:
Structure-Based Attribute Reduction in Variable Precision Rough Set Models
Masahiro Inuiguchi
Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
Received: January 1, 2006
Accepted: February 20, 2006
Keywords: variable precision rough set, reduct, lower approximation, upper approximation, boundary region
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.5 pp. 657-665, 2006
Abstract
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.
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