Neuro-Fuzzy Classification

Neuro-fuzzy classification systems offer means to obtain fuzzy classification rules by a learning algorithm. It is usually possible to find a suitable fuzzy classifier by learning from data, but it can be hard to obtain a classifier that can be interpreted conveniently. However, the main reason for using fuzzy methods for classification is usually to obtain an interpretable classifier. In this paper we discuss the learning algorithms of NEFCLASS, a neuro-fuzzy approach for data analysis.

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