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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Pattern Classification with Linguistic Rules
verfasst von : Hisao Ishibuchi, Yusuke Nojima
Erschienen in: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
Verlag: Springer Berlin Heidelberg
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Linguistic rules are fuzzy rules described by linguistic terms such as
small
and
large
. Here we discuss pattern classification with linguistic rules. The main advantage of using linguistic rules is their high interpretability. We can construct linguistically interpretable fuzzy rule-based classification systems using linguistic rules. First we briefly explain fuzzy rules for function approximation. Next we explain fuzzy rules and fuzzy reasoning for pattern classification. Then we explain linguistic rule extraction from numerical data. Finally we show some future research topics on pattern classification with linguistic rules.