Interpretable and Reliable Evolving Fuzzy Systems
This bilateral FWF/DFG research project between our department and the Knowledge Engineering & Bioinformatics Department at the Phillips University Marburg aims at developing concepts and methods for a better interpretability and understandability, enhanced reliability and more userfriendliness of evolving fuzzy systems. Evolving fuzzy systems are a special kind of data-driven modelling methodology, developed for the purpose of extracting fuzzy rule bases from data streams in an incremental and single-pass manner.
Knowledge Engineering & Bioinformatics Department (Phillips University Marburg)