Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms-Reference-Cited by-同舟云学术

Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Pätzel David¹^ORCID,Heider Michael¹^ORCID,Hähner Jörg¹^ORCID

Affiliation:

1. University of Augsburg, Augsburg, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596416

Reference25 articles.

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5. A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

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