A method of fuzzy identification based on genetic soft fuzzy clustering and Kalman filtering method is proposed.
提出了一种新的基于遗传模糊软分类和卡尔曼滤波方法的模糊辨识算法。
Rough set was applied to clustering method in view of soft kernel of support vector clustering(SVC).
支持向量聚类是基于支持向量机和核方法的一种新颖的聚类方法。
The Fuzzy theory provides a powerful analysis tool for soft classification. It has been used to deal with clustering problems since it was presented.
模糊集理论的提出为软划分提供了强有力的分析工具，于是模糊聚类逐步成为了模糊研究的热点。
The Fuzzy theory provides a powerful analysis tool for soft classification. It has been used to deal with clustering problems since it was presented.
模糊集理论的提出为软划分提供了强有力的分析工具，于是模糊聚类逐步成为了模糊研究的热点。
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