Automatic generation of fuzzy controllers by fuzzy clustering

This paper describes techniques for deriving fuzzy if-then rules based on special modified fuzzy clustering algorithms. The basic idea is that each fuzzy cluster induces a rule. The fuzzy sets appearing in a rule associated with a fuzzy cluster are obtained by projecting the cluster to the one-dimensional coordinate spaces. In order to allow clusters of varying shape and size the authors derive special fuzzy clustering algorithms which are searching for clusters in the form of axes-parallel hyper-ellipsoids