© 2018 IEEE. This work deals with the methodologies employed in the specialized literature on fuzzy regression and control systems to perform the learning process under conditions of high dimensionality and/or large-scale sets of examples. First, we look at algorithmic approaches in the last decade, where this specific area has experienced its bigger growth, and then at new resources nowadays based on distributed programming with MapReduce. We conclude trying to identify the challenges and future guidelines.