模糊等价关系下基于粗糙集的属性约简方法研究

2007 International Conference on Computational Intelligence and Security (CIS 2007) Pub Date : 2007-12-15 DOI:10.1109/CIS.2007.151

Guorui Jiang, G. Zang

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引用次数: 1

摘要

本文首先提出了一种模糊等价关系下基于粗糙集的属性约简方法。利用模糊等价关系计算案例的相似度，利用基于粗糙集的相同模糊等价分区约简属性，给出了属性权值的计算方法。与传统的基于粗糙集的属性约简方法相比，该方法保留了更多的原始数据信息，提高了属性约简的精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Study on the Method of Attribute Reduction Based on Rough Set under Fuzzy Equivalent Relation

In this paper, first we proposed a method of attribute reduction based on rough set under fuzzy equivalent relation. We computed the similarity of cases with the fuzzy equivalent relation, reduced the attributes by the same fuzzy equivalent partitions based on rough set, and then gave a method of computing the weights of the attributes. Comparing with the traditional method of attribute reduction based on rough set, more information of the primary data is held, and more accuracy of the attribute reduction is enhanced by our method.

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2007 International Conference on Computational Intelligence and Security (CIS 2007)

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