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

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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Detalhes bibliográficos
Publicado no:IEEE Transactions on fuzzy systems 8, 2 (2000).
Autor principal: Yaochu Jin
Formato: Artigo
Idioma:English
Assuntos:
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.