Approaches to Attributes Reduction Based on Ant Colony Optimization
- https://doi.org/10.2991/iske.2007.128How to use a DOI?
- Rough sets, Attributes reduction, Ant colony optimization, Binary discernibility matrices
As we known, ants are blind and single ant’s capacity is limited. But researchers have studied that ant colonies have egregious ability to search shorter path which loads between their nests and foods. Inspired from this and based on ant colony optimization(ACO), we propose a new approach about attributes reduction of rough sets. Using this approach, we can reduce attributes as maximum as possible, obtain many different results synchronously and reduce the scope of core attributes. Experiment shows that by this new approach, better results can be obtained.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Honghua Chen AU - Zheng Pei AU - Li Zhang PY - 2007/10 DA - 2007/10 TI - Approaches to Attributes Reduction Based on Ant Colony Optimization BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 747 EP - 752 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.128 DO - https://doi.org/10.2991/iske.2007.128 ID - Chen2007/10 ER -