粗糙集理论一直致力于研究不确定或不精确信息的数据分析问题。
Rough set theory has been aiming at data analysis problems involving uncertain or imprecise information.
本文对两种非经典数学方法:粗糙集理论和云理论进行了介绍和分析。
The paper introduces and then analyzes the two non-classical mathematics methods: the rough theory and the cloud theory.
基于粗糙集理论的不完备数据分析方法,以可辨识矩阵作为算法的基础,提出了一种改进的不完备数据分析方法。
Based on an incomplete data analysis method of the rough set theory and the distinguish matrix, bring forward an improved ROUSTIDA algorithm.
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