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Erlernen von Fuzzy-Regeln

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Informatik Forschung und Entwicklung

Zusammenfassung.

In diesem Aufsatz wird untersucht, wie man Fuzzy-Systeme auf der Basis von repräsentativem Datenmaterial automatisch generieren kann. Wir analysieren dazu induktive Lernverfahren, die ihren Ursprung in der Clusteranalyse und den Neuronalen Netzen haben. Anhand von zwei konkreten Softwaretools wird gezeigt, daß diese induktiven Methoden eine Ergänzung zu den klassischen Verfahren der Erstellung von Fuzzy-Systemen bieten.

Abstract.

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.

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Eingegangen am 11. Juni 1996 / Angenommen am 18. Dezember 1996

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Kruse, R., Klawonn, F. & Nauck, D. Erlernen von Fuzzy-Regeln . Informatik Forsch Entw 12, 2–6 (1997). https://doi.org/10.1007/s004500050066

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  • DOI: https://doi.org/10.1007/s004500050066

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