A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems

TitleA Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems
Publication TypeConference Paper
Year of Publication2011
AuthorsGacto, M. J., Alcalá R., and Herrera F.
EditorFanelli, Anna Maria, Pedrycz Witold, and Petrosino Alfredo
Conference NameFuzzy Logic and Applications
Pagination99–106
PublisherSpringer Berlin Heidelberg
Conference LocationBerlin, Heidelberg
ISBN Number978-3-642-23713-3
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.