Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology

摘要

In this work we extend the Cooperative Rules learning methodology to improve simple linguistic fuzzy models, including 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.