Improvements to the Cor Methodology by Means of Weighted Fuzzy Rules

In this work we propose the hybridization of two techniques to improve the cooperation among the fuzzy rules: the use of rule weights and the Cooperative Rules learning methodology. To do that, the said methodology is extended to include the learning of rule weights within the rule cooperation paradigm. Considering these kinds of techniques could result in important improvements of the system accuracy, maintaining the interpretability to an acceptable level.