Attribute reduction of decision table based on similar relation

Changzhong Wang, Xin-Hua Cui, Wenying Bao, Qiang He
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引用次数: 1

Abstract

In this paper, we study attribute reduction of decision system based on similar relations. We first define the concept of attribute reduction. We then develop a sufficient and necessary condition for attribute reduction and construct the dicernibility matrix on similar relations, by which we can compute all the reducts of decision systems. The experimental results with UCI data sets show that the proposed reduction approach is an effective method to deal with numerical and categorical data sets.
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基于相似关系的决策表属性约简
本文研究了基于相似关系的决策系统属性约简。我们首先定义了属性约简的概念。然后给出了属性约简的充要条件,构造了相似关系上的可分辨矩阵,从而可以计算决策系统的所有约简。UCI数据集的实验结果表明,所提出的约简方法是一种有效的处理数值和分类数据集的方法。
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