粗糙属性数据及其约简分析

Prem Kumar Singh
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引用次数: 1

摘要

近年来,许多研究者关注于不确定性的处理及其表征。多值数据集的不确定性的精确逼近是其主要任务之一。在给定的数据集是非欧几里德的情况下,它变得更加困难。因此,本文将粗糙模糊集及其图形化可视化方法引入到知识处理任务中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data with Rough Attributes and Its Reduct Analysis
Recent time many researchers focused on dealing the uncertainty and its characterization. The precise approximation of uncertainty in many-valued data set is one of the major tasks. It becomes more difficult in case the given data sets are non-Euclidean. Hence the rough fuzzy set and its graphical visualization is introduced in this paper for knowledge processing tasks.
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