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Multilayer fuzzy connective-based hierarchical aggregation networks simulate the decision-making processes performed by humans, and the results can be interpreted as a set of rules. Identifying the relative importance of the inputs helps to identify redundancies that do not contribute to the decision-making process. However, a gradient-based learning approach tends to generate local solutions, and...
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