基于属性一致度的属性约简算法 |
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引用本文:达列雄,邓方安,刘杰.基于属性一致度的属性约简算法[J].计算技术与自动化,2015,(3):64-66 |
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中文摘要:在属性一致度的概念和性质基础之上,提出一种基于属性一致度的属性约简算法。利用一致度构造属性间模糊相似矩阵,并用模糊聚类分析方法对属性重要性作了分类,从而得到动态属性分类图,得到了与粗糙集属性约简方法完全一致的结果。最后,用实例表明算法的有效性。 |
中文关键词:属性一致度 属性约简 模糊聚类分析 |
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An Approach of Attribute Reduction Based on Attributes Consistency Degree |
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Abstract:Based on the concept and nature of the attribute consistent degree, this paper proposed a consistent degree of attribute reduction algorithm based on the attribute. By using the same degree of fuzzy similar matrix between tectonic attribute, and using the fuzzy clustering analysis method, the attribute importance was classified, and then the dynamic attribute classification diagram was obtained, which is completely consistent with that obtained by using the rough set attribute reduction method. Finally, an example was used to show the effectiveness of the algorithm. |
keywords:attribute consistency degree attribute reduction fuzzy cluster analysis |
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