Erlernen von Fuzzy-Regeln : Anwendungen von Fuzzy-Logik und neuronalen Netzen

In this paper we examine how fuzzy systems can be automatically generated on the basis of representative data. We analyze inductive learning procedures, which have their origin in cluster analysis and neural networks. By means of two software tools we show that these inductive methods offer an addition to the classical means to create fuzzy systems.