Some relationships between fuzzy and ran
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Luciano Sánchez; Jorge Casillas; Oscar Cordón; Marı́a José del Jesus
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Article
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2002
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Elsevier Science
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English
⚖ 977 KB
When designing rule-based models and classifiers, some precision is sacrificed to obtain linguistic interpretability. Understandable models are not expected to outperform black boxes, but usually fuzzy learning algorithms are statistically validated by contrasting them with black-box models. Unless