Different core attributes's comparison and analysis

Jun Yang, Zhangyan Xu
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引用次数: 2

Abstract

The key of attribute reduction based on rough set is find the core attributes. Most existing works are mainly based on Hu's discernibility matrix. Till now, there are three kinds of core attributes: Hu's core based on discernibility matrix (denoted by Core1(C)), core based on positive region (denoted by Core2(C)), and core based on information entropy (denoted by Core3(C)). Some researchers have been pointed out that these three kinds of cores are not equivalent to each other. Based on the above three kinds of core attributes, we at first propose three kinds of simplified discernibility matrices and their corresponding cores, which are denoted by SDCore1(C), SDCore2(C), and SDCore3(C) respectively. And then it is proved that Core1(C)=SDCore1(C), Core2(C)= SDCore2(C), and Core3(C)=SDCore3(C). Finally, based on three proposed simplified discernibility matrices and their corresponding cores, it is proved that Core2(C)⊆Core3(C)⊆Core1(C).
不同核心属性的比较与分析
基于粗糙集的属性约简的关键是找到核心属性。现存的大部分作品主要是基于胡的辨识矩阵。到目前为止,核心属性有三种:基于差别矩阵的Hu核心(用Core1(C)表示)、基于正域的核心(用Core2(C)表示)和基于信息熵的核心(用Core3(C)表示)。有研究者指出,这三种岩心并不等同。基于以上三种核心属性,我们首先提出了三种简化的差别矩阵及其对应的核心,分别用SDCore1(C)、SDCore2(C)、SDCore3(C)表示。然后证明Core1(C)=SDCore1(C), Core2(C)= SDCore2(C), Core3(C)=SDCore3(C)。最后,基于提出的3个简化的可比性矩阵及其对应的核,证明Core2(C)拟合Core3(C),并拟合Core1(C)。
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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