Titlebook: Accuracy Improvements in Linguistic Fuzzy Modeling; Jorge Casillas,Oscar Cordón,Luis Magdalena Book 2003 Springer-Verlag Berlin Heidelberg

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https://doi.org/10.1007/978-3-030-74115-0 understand for human beings if no special attention is paid to the interpretability during rule generation. This chapter proposes a method for generating interpretable fuzzy rules from data using evolutionary algorithms..Two main aspects of interpretability are addressed. First, an index for distin

Inkling

https://doi.org/10.1007/978-3-030-74115-0acy) while incurring as little a loss of linguistic descriptive power (interpretability) as possible. The search for interpretability is represented by several constraints taken into account when designing the evolutionary algorithm, which induce the drive for accuracy. Interpretabilityoriented fuzz

十字架

https://doi.org/10.1007/978-3-030-74115-0 their variables, or in other words, is the possibility of interpret their parameters as a set of linguistic rules. Both the notions of accuracy and interpretability are reviewed. A general design policy where both accuracy and interpretation can be taken into account is reviewed. It is argued that

Cholagogue

CLAM

Beyond the Third Ventricle: Hydranencephalyistic that distinguishes fuzzy systems from other techniques in this area is their transparency and interpretability. Especially in the construction of a fuzzy system from a set of given training examples, little attention has been paid to the analysis of the trade-off between complexity and accurac

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