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Abstract and Applied Analysis
Volume 2014, Article ID 382967, 6 pages
Research Article

Approximate Accuracy Approaches to Attribute Reduction for Information Systems

1College of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China
2Institute of Computing Technology, Research Institute of Exploration and Development, Liaohe Oilfield, PetroChina, No. 98 Oil Street, Panjin 124010, China

Received 9 March 2014; Revised 21 April 2014; Accepted 23 April 2014; Published 30 April 2014

Academic Editor: Jianzhou Wang

Copyright © 2014 Deshan Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute. The algorithms are challenged by the variety of data forms in information system. Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems. In order to evaluate the importance of an attribute effectively, a novel algorithm with rigorous theorem is proposed. Experiments show the effect of proposed algorithm.