Adaptive-UCS evolves a per-rule binary fuzzy indicator that switches between rectangular and triangular membership functions, improving average classification accuracy over crisp UCS and fuzzy-hypertrapezoidal Fuzzy-UCS on most tested problems.
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Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems
Adaptive-UCS evolves a per-rule binary fuzzy indicator that switches between rectangular and triangular membership functions, improving average classification accuracy over crisp UCS and fuzzy-hypertrapezoidal Fuzzy-UCS on most tested problems.