An output-constrained clustering approach for the identification of fuzzy systems and fuzzy granular systems

IEEE Transactions on Fuzzy Systems

Volumn 19, Issue 6, 2011, Pages 1127-1140

  Wang, Di ^a   Zeng, Xiao Jun ^b   Keane, John A ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Clustering; fuzzy granular system; fuzzy system; granular computing; system identification

Indexed keywords

BENCHMARK FUNCTIONS; CLUSTERING; CLUSTERING APPROACH; DYNAMIC SYSTEM IDENTIFICATION; GRANULAR SYSTEM; INPUT DATAS; INPUT-OUTPUT CLUSTERING; NUMBER OF CLUSTERS; STRUCTURE IDENTIFICATION; SYSTEM IDENTIFICATIONS; SYSTEM STRUCTURES;

BENCHMARKING; FUZZY SYSTEMS; GRANULAR COMPUTING; GRANULAR MATERIALS;

CLUSTERING ALGORITHMS;

EID: 82455164494     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2011.2161612     Document Type: Article

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