A PSO-BASED METHOD FOR EXTRACTING FUZZY RULES DIRECTLY FROM NUMERICAL DATA

DOI10.1080/01969720600886980zbMath1142.93323OpenAlexW2002381937MaRDI QIDQ3424343

Chia-Chong Chen

Publication date: 15 February 2007

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969720600886980

Mathematics Subject Classification ID

System identification (93B30)

Related Items (1)

A fuzzy C‐regression model algorithm using a new PSO algorithm

Cites Work

• Unnamed Item
• Structure identification of fuzzy model
• Successive identification of a fuzzy model and its applications to prediction of a complex system
• Fuzzy identification of systems and its applications to modeling and control
• Fuzzy rules extraction directly from numerical data for function approximation

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