A four-parameter beta distribution membership function lets a learning classifier system adapt each rule's boundary shape and fuzziness, improving test accuracy and rule compactness on 25 classification benchmarks.
Autoencoding with a classifier system,
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Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems
A four-parameter beta distribution membership function lets a learning classifier system adapt each rule's boundary shape and fuzziness, improving test accuracy and rule compactness on 25 classification benchmarks.