Designing fuzzy inference systems from data An interpretability-oriented review.

Designing fuzzy inference systems from data An interpretability-oriented review.

Fuzzy inference systems (FIS) are widely used for process simulation or control. They can be designed either from expert knowledge or from data. For complex systems, FIS based on expert knowledge only may suffer from a loss of accuracy. This is the main incentive for using fuzzy rules inferred from...

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Détails bibliographiques
Publié dans:IEEE Transactions on fuzzy systems 9, 3 (2001).
Auteur principal: Guillaume, S.
Format: Article
Langue:English
Sujets:
Automatic rule generation.
Complex multivariable systems.
Fuzzy inference systems.
Human-computer cooperation.
Interpretability-oriented review.
Rule base optimization.
Rule interpretability.
Space partitioning.
Structure optimization.
System optimization.