A type-3 logic fuzzy system: optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size

DOI10.1016/j.ins.2021.05.031OpenAlexW3162594786MaRDI QIDQ6092098

Ardashir Mohammadzadeh, Bahareh Pahlevanzadeh, Sultan Noman Qasem, Sakthivel Rathinasamy, Ali Ahmadian

Publication date: 23 November 2023

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

Full work available at URL: https://doi.org/10.1016/j.ins.2021.05.031

zbMATH Keywords

learning algorithmKalman filterself-organizationcorrentropy criterioninterval type-3 fuzzy logic systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Maximum correntropy Kalman filter
• Study on centroid type-reduction of general type-2 fuzzy logic systems with weighted enhanced Karnik-Mendel algorithms
• Multigranulation rough-fuzzy clustering based on shadowed sets
• Adaptive sliding mode fault-tolerant control for type-2 fuzzy systems with distributed delays
• An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection
• Developing an online general type-2 fuzzy classifier using evolving type-1 rules
• Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction
• On the choice of similarity measures for type-2 fuzzy sets
• A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks

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