Fuzzy modeling of high-dimensional systems complexity reduction and interpretability improvement.

Fuzzy modeling of high-dimensional systems is a challenging topic. This paper proposes an effective approach to data-based fuzzy modeling of high-dimensional systems. An initial fuzzy rule system is generated based on the conclusion that optimal fuzzy rules cover extrema. Redundant rules are removed...

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Pubblicato in:	IEEE Transactions on fuzzy systems 8, 2 (2000).
Autore principale:	Yaochu Jin
Natura:	Articolo
Lingua:	English
Soggetti:	Complexity reduction. Data-based fuzzy modeling. Fine training. Fuzzy modeling. Fuzzy similarity measure. Fuzzy system interpretability. Fuzzy system parameter optimization. Fuzzy system structure optimization. Genetic algorithm. Gradient method. High-dimensional systems. Initial fuzzy rule system. Interpretability improvement. Optimal fuzzy rules. Redundant rules. Regularization.