Abstract
The basic concept of attribute reduction in Rough Sets Theory (RST) and the idea of Particle Swarm Optimization(PSO) are briefly combined. A new reduction algorithm based on PSO is developed. Furthermore, the thought of Cache is introduced into the proposed method, which reduces the algorithm complexity effectively, The experimental results demonstrate that the algorithm is simple and viable. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Shen, H., Yang, S., & Liu, J. (2010). An attribute reduction of rough set based on PSO. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6401 LNAI, pp. 695–702). https://doi.org/10.1007/978-3-642-16248-0_94
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