Objects' combination based simple computation of attribute core

Zheng Zheng, Guo-Yin Wang, Yuehua Wu
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引用次数: 7

Abstract

Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. Attribute reduction is one of the most important parts in rough set theory. The attribute core of a decision table is often the start point and key of many information reduction procedures. Hu's method (1995) for computing the attribute core based on the discernibility matrix was wrong because of the neglect of some factors. The error was corrected by Dongyi Ye, but the complexity of his algorithm was too high. In this paper, we present a new algorithm based on object combination. The algorithm corrects Hu's error and has less complexity than Ye's and Hu's methods.
基于属性核简单计算的对象组合
粗糙集理论是一种处理模糊和不确定数据的新工具。属性约简是粗糙集理论的重要研究内容之一。决策表的属性核通常是许多信息约简过程的起点和关键。Hu(1995)基于差别矩阵计算属性核的方法由于忽略了一些因素而出现了错误。这一错误由叶东义纠正,但他的算法复杂性太高。本文提出了一种基于目标组合的新算法。该算法纠正了胡的错误,并且比叶和胡的方法具有更低的复杂性。
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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