A double axis classification of interpretability measures for linguistic fuzzy rule-based systems

Authors:
M. J. Gacto;R. Alcalá;F. Herrera
Affiliations:
Dept. Computer Science, University of Jaén, Jaén, Spain;Dept. Computer Science and Artificial Intelligence, University of Granada, Granada, Spain;Dept. Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
Venue:
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Year:
2011

Citing 36
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Abstract

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.