Table of Contents Author Guidelines Submit a Manuscript
Computational Intelligence and Neuroscience
Volume 2017, Article ID 6573623, 7 pages
https://doi.org/10.1155/2017/6573623
Research Article

A Novel Strategy for Minimum Attribute Reduction Based on Rough Set Theory and Fish Swarm Algorithm

Yuebin Su1,2 and Jin Guo1

1School of Information Science and Technology, Southwest Jiao Tong University, Chengdu 610031, China
2School of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong 643000, China

Correspondence should be addressed to Yuebin Su; moc.361@byshtam

Received 28 March 2017; Revised 25 June 2017; Accepted 5 July 2017; Published 15 August 2017

Academic Editor: Naveed Ejaz

Copyright © 2017 Yuebin Su and Jin Guo. 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.

How to Cite this Article

Yuebin Su and Jin Guo, “A Novel Strategy for Minimum Attribute Reduction Based on Rough Set Theory and Fish Swarm Algorithm,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 6573623, 7 pages, 2017. https://doi.org/10.1155/2017/6573623.