Generating an interpretable family of fuzzy partitions from data.

In this paper, we propose a new method to construct fuzzy partitions from data. The procedure generates a hierarchy including best partitions of all sizes from n to two fuzzy sets. The maximum size n is determined according to the data distribution and corresponds to the finest resolution level. We...

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发表在:IEEE Transactions on fuzzy systems 12, 3 (2004).
主要作者: Guillaume, S.
格式: 文件
语言:English
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