粗糙集（rough set），又称粗集合。在粗糙集理论中，明确集（crisp set）是指传统的集合，而粗糙集则用于对明确集进行形式上的逼近，即给出该明确集的上逼近集和下逼近集
将粗集合理论与神经网络相结合，提出一种基于粗神经网络的新的信息融合方法，用于仿人智能机器人的语音融合。
Integrating rough set theory with neural network theory, a novel information fusion method based on rough neural network is proposed. It is used in speech fusion of humanoid intelligent robots.
粗合集合理论现在已成为数据库知识分类的一种强有力的工具。
Rough sets theory is emerging as a powerful tool as inducing knowledge classification knowledge from database.
讨论模糊集合与单向奇异粗集之间的联系。
The relationship between fuzzy sets and single direction singular rough sets is discussed.
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