Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25661
Title: Cascaded centralized TSK fuzzy system : universal approximator and high interpretation
Authors: Wang, S
Chung, FL 
Shen, H
Hu, D
Keywords: Fuzzy system
Interpretation
Universal approximation
Issue Date: 2005
Publisher: Elsevier
Source: Applied soft computing, 2005, v. 5, no. 2, p. 131-145 How to cite?
Journal: Applied soft computing 
Abstract: When applying fuzzy systems for data analysis, their approximation and interpretation capabilities are two important aspects. Cascaded fuzzy system (CFS) is a new special class of hierarchical fuzzy systems in architectures proposed by Duan and Chung [IEEE Trans. Fuzzy Syst. 9 (2) (2001) 293] but its universal approximation capability is still not proved. When CFS is utilized in fuzzy data analysis/modeling, it seems very difficult to give a reasonable interpretation for intermediate variables and the corresponding fuzzy rules. A new cascaded centralized TSK fuzzy system (CCTSKFS) is presented in this paper, whose universal approximation capability is proved in detail, and what's more, we can interpret CCTSKFS more rationally. Finally, our experimental results demonstrate that CCTSKFS outperforms the classical cascaded TSK fuzzy system (CTSKFS) in approximation capability and robustness.
URI: http://hdl.handle.net/10397/25661
ISSN: 1568-4946
EISSN: 1872-9681
DOI: 10.1016/j.asoc.2004.03.014
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