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• W2136331312 abstract "The main feature of Estimation of Distribution Algorithms is the way they evolve by gathering the information about the best elements of each population into a probability distribution. This work studies the application of these algorithms to the learning of weighted linguistic fuzzy-rule-based systems with the wCOR method. For this purpose, we propose the use of two different probabilistic models: One which does not assume any dependence between the rule consequents and their weights, and other whose structure is fixed from these dependences." @default.
• W2136331312 created "2016-06-24" @default.
• W2136331312 creator A5015843193 @default.
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• W2136331312 date "2006-09-22" @default.
• W2136331312 modified "2023-09-26" @default.
• W2136331312 title "Learning weighted linguistic fuzzy rules with estimation of distribution algorithms" @default.
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• W2136331312 doi "https://doi.org/10.1109/cec.2006.1688407" @default.
• W2136331312 hasPublicationYear "2006" @default.
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