most citedFuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems

10 citations · 10 across the 1 of their papers we have counts for

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cs.LG2025★ 10 cited

Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems

Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama

This paper focuses on the impact of rule representation in Michigan-style Learning Fuzzy-Classifier Systems (LFCSs) on its classification performance. A well-representation of the…