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...
| Publié dans: | IEEE Transactions on fuzzy systems 12, 3 (2004). |
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| Auteur principal: | |
| Format: | Article |
| Langue: | English |
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