期刊文献+

粗糙集的属性正域扩展方法

The Method of Extending Positive Region of the Attribute in Rough Set
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摘要 针对现有正域扩展方法中存在的不足,对现有方法进行改进,通过引入抖动率,使其能够有效减少扩展了的属性正域里的噪声数据.实验说明了改进方法的有效性. This paper focuses on shortcomings in the existing positive region extension methods ;to improve the existing methods by introducing jitter rate so that it can effectively reduce noise data in the extended positive region of attributes .Finally ,the experimental results illuminate the efficiency of the improved method .
作者 苗碧舟 周健
出处 《微电子学与计算机》 CSCD 北大核心 2013年第11期47-50,共4页 Microelectronics & Computer
基金 国家自然科学基金(60873194)
关键词 决策表 粗糙集 正域扩展 属性核 噪音数据 decision table rough set positive region extension attribute core noise data
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参考文献6

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