The bi-objective fuzzy c-means cluster analysis for TSK fuzzy system identification

DOI10.1007/S10700-006-0024-XzbMath1105.62067OpenAlexW1999843516MaRDI QIDQ868529

Ta-Wei Hung

Publication date: 6 March 2007

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-006-0024-x

zbMATH Keywords

LearningFuzzy clusteringFuzzy system identificationFuzzy cluster analysisFuzzy system

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Fuzzy control/observation systems (93C42) System identification (93B30)

Related Items (1)

Exponential distance-based fuzzy clustering for interval-valued data

Cites Work

• Induction of fuzzy rules and membership functions from training examples
• Bi-criteria fuzzy \(c\)-means analysis
• Fuzzy identification of systems and its applications to modeling and control

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