Information Fusion in Neuro-Fuzzy Systems

In this paper we discuss information fusion in neuro-fuzzy systems in the context of intelligent data analysis. As information sources we consider human experts who formulate their knowledge in form of fuzzy if-then rules, and databases of sample data. We discuss how to fuse these different types of knowledge by using neuro-fuzzy methods and present some experimental results. We show how neuro-fuzzy approaches can fuse fuzzy rule sets, induce a rule base from data and revise a rule set in the light of training data.

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