Approaches to Attributes Reduction Based on Ant Colony Optimization

摘要：

As we known, ants are blind and single ants ca-pacity 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 maxi-mum as possible, obtain many different results syn-chronously and reduce the scope of core attributes.Experiment shows that by this new approach, bet-ter results can be obtained.

关键词： Rough sets Attributes reduction Ant colony optimization Binary discernibility matrices

作者: Honghua Chen Zheng Pei Li Zhang

作者单位: School of Mathematics & Computer Engineering, Xihua University, Chengdu 610039, China

会议类型: 国际会议

会议名称: The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)

会议地点: 成都

会议语种:英文

页码: 1328-1333

在线出版日期: 2007-10-15（万方平台首次上网日期，不代表论文的发表时间）