Generating Rules from Data by Fuzzy and Neuro{fuzzy Methods (datenbasierte Regelgenerierung Mittels Fuzzy{ Und Neuro{fuzzy{methoden)
نویسندگان
چکیده
In this paper we present an approach to neuro{fuzzy classiication that is able to learn fuzzy sets and fuzzy rules from data. The fuzzy rules that are created by this approach can be very well interpreted, however, they do not classify as good as the rules derived by sophisticated fuzzy clustering algorithms. They on the other hand supply usually unsatisfying fuzzy sets what makes it hard to interpret the rules. Combining both approaches can eliminate these disadvantages.
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