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Erschienen in:
2011 | OriginalPaper | Buchkapitel
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems
verfasst von : M. J. Gacto, R. Alcalá, F. Herrera
Erschienen in: Fuzzy Logic and Applications
Verlag: Springer Berlin Heidelberg
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In this paper, we present a simple classification of the papers devoted to interpretability of Linguistic Fuzzy Rule-Based Systems attending to the type of interpretability measures and the part of the system for which they are applied, i.e., a double axis classification. A taxonomy considering this double axis is used to easily categorize the proposals in the existing literature. In this way, this work also represents a simple summary of the current state-of-the-art to assess the interpretability of Linguistic Fuzzy Rule-Based Systems.