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Title: Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems
Authors: Dinh, Vu Van
Giang, Nguyen Long
Keywords: Rough Set
Tolerance-Based Rough Set
Decision System
Incomplete Decision System
Attribute Reduction
Issue Date: 2013
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 7, No 4, (2013), 375p-388p
Abstract: A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table. In this paper, we propose methods for attribute reduction in static incomplete decision systems and dynamic incomplete decision systems with dynamically-increasing and decreasing conditional attributes. Our methods use generalized discernibility matrix and function in tolerance-based rough sets.
ISSN: 1312-6555
Appears in Collections:Volume 7 Number 4

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