Fuzzy XCS: An accuracy-based fuzzy classifier system
Jorge Casillas, Brian Carse, Larry Bull · 2004
The issue of rule generalization has received a great deal of attention in the discrete-valued learning classifier system field. Within it, the accuracy-based XCS system is currently the main reference. The same issue does not appear to have received a similar level of attention in the case of the fuzzy classifier system. It may be due to the difficulty to extend the discrete-valued system behavior to the continuous case. The intention of this contribution is to propose a theoretical approach to properly develop a fuzzy XCS system, the called F-XCS.