On modelling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework

Teh, Chin Ying, Kerk, Yi Wen, Tay, Kai Meng and Lim, Chee Peng 2018, On modelling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework, IEEE transactions on fuzzy systems, vol. 26, no. 6, pp. 3860-3874, doi: 10.1109/TFUZZ.2018.2851258.

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Title On modelling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework
Author(s) Teh, Chin Ying
Kerk, Yi Wen
Tay, Kai Meng
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name IEEE transactions on fuzzy systems
Volume number 26
Issue number 6
Start page 3860
End page 3874
Total pages 15
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2018-12
ISSN 1063-6706
Keyword(s) degree of monotonicity
monotone data
monotone fuzzy rules
monotone fuzzy rules relabeling
monotonicity test
strong fuzzy partition
system identification
TSK fuzzy inference system
Language eng
DOI 10.1109/TFUZZ.2018.2851258
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
0102 Applied Mathematics
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111180

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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