Approaches to Attributes Reduction Based on Ant Colony Optimization

DOI

10.2991/iske.2007.128How to use a DOI?

Keywords

Rough sets, Attributes reduction, Ant colony optimization, Binary discernibility matrices

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/iske.2007.128
ID  - Chen2007/10
ER  -