First-order rule partitions-based decomposition technique of type-1 and interval type-2 rule-based fuzzy systems for computational and memory efficiency

DOI10.1016/J.INS.2024.121154MaRDI QIDQ6595322

Abdessamad El Mobaraky, Ahmed Chebak, Khalid Kouiss

Publication date: 30 August 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

computational costmemory usageinterval type-2 fuzzy systemtype-1 fuzzy systemfirst-order rule partitionsrule-based fuzzy system decomposition

Mathematics Subject Classification ID

Computer science (68-XX) Systems theory; control (93-XX)

Cites Work

• New methodology to approximate type-reduction based on a continuous root-finding Karnik Mendel algorithm
• Fuzzy logic in control systems: fuzzy logic controller. II
• Uncertain Rule-Based Fuzzy Systems
• Genetic Fuzzy Systems
• Centroid of a type-2-fuzzy set
• Type-reduction of interval type-2 fuzzy numbers via the Chebyshev inequality
• Hierarchical fuzzy regression tree: a new gradient boosting approach to design a TSK fuzzy model
• Capital equilibrium strategy for uncertain multi-model systems
• A Simplified Model of an Interval Type-2 Takagi-Sugeno Fuzzy PID Controller using One-Dimensional Input Space
• Two-dimensional Gaussian hierarchical priority fuzzy modeling for interval-valued data

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