Strategies to identify fuzzy rules directly from certainty degrees a comparison and a proposal.
With identification methods that learn fuzzy rules directly from certainty degrees, we refer to methods that select the most promising rules from the training examples in only one pass. In order to do that, these methods employ a certainty measure to assess the goodness of each rule. This paper aims...
| Publicat a: | IEEE Transactions on fuzzy systems 12, 5 (2004). |
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| Autor principal: | |
| Format: | Article |
| Idioma: | English |
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