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An Attribute Reduction Algorithm based on Rough Set, Information Entropy and Ant Colony optimization

机译:基于粗糙集,信息熵和蚁群算法的属性约简算法

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摘要

For resolving attibute reduction of the NP-hard problems effectively, a new complete and efficient Attribute Reduction Algorithm of Rough Set Based on Information Entropy and Ant Colony Algorithm is proposed. After computiing a core of the database by the algorithm of Rough Set and Information Entropy, find the other attibutes in the least reduction of attributes set by the proposed method. Experiments show that the proposed method can get not only the least reduction of complete and incomplete attributes set efficiently and effectively but also more least reductions. The proposed method is of profoud theoretical and pratical significance.
机译:为了有效解决NP难问题的服装减少问题,提出了一种基于信息熵和蚁群算法的完整高效的粗糙集属性约简算法。在通过粗糙集和信息熵算法计算出数据库的核心之后,通过所提出的方法找到属性集约简最少的其他服装。实验表明,该方法不仅可以有效地有效地减少对集合属性的完全和不完全属性的最小化需求,而且可以减少更多的约简。该方法具有重要的理论和实践意义。

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