Fuzzy-XCS: A Michigan genetic fuzzy system (2007)
Journal Article
Casillas, J., Carse, B., & Bull, L. (2007). Fuzzy-XCS: A Michigan genetic fuzzy system. IEEE Transactions on Fuzzy Systems, 15(4), 536-550. https://doi.org/10.1109/TFUZZ.2007.900904

The issue of finding fuzzy models with an interpretability as good as possible without decreasing the accuracy is one of the main research topics on genetic fuzzy systems. When they are used to perform online reinforcement learning by means of Michig... Read More about Fuzzy-XCS: A Michigan genetic fuzzy system.

An accuracy-based fuzzy classifier system (2004)
Presentation / Conference
Casillias, J., Carse, B., & Bull, L. (2004, June). An accuracy-based fuzzy classifier system. Paper presented at 12th Spanish Conference on Fuzzy Logic and Technologies

Fuzzy XCS: An accuracy-based fuzzy classifier system (2004)
Journal Article
Casillas, J., Carse, B., & Bull, L. (2004). Fuzzy XCS: An accuracy-based fuzzy classifier system