Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30416
Title: Multi-task TSK fuzzy system modeling using inter-task correlation information
Authors: Jiang, Y
Deng, Z
Chung, FL 
Wang, S
Keywords: Fuzzy modeling
Inter-task latent correlation
Multi-task learning
Sugeno-Kang fuzzy system
Takagi
Issue Date: 2015
Publisher: Elsevier
Source: Information sciences, 2015, v. 298, p. 512-533 How to cite?
Journal: Information sciences 
Abstract: The classical fuzzy system modeling methods have been typically developed for the single task modeling scene, which is essentially not in accordance with many practical applications where a multi-task problem must be considered for the given modeling task. Although a multi-task problem can be decomposed into many single-task sub-problems, the modeling results indeed tell us that the individual modeling approach will not be very suitable for multi-task problems due to the ignorance of the inter-task latent correlation between different tasks. In order to circumvent this shortcoming, a multi-task Takagi-Sugeno-Kang fuzzy system model is proposed based on the classical L2-norm Takagi-Sugeno-Kang fuzzy system in this paper. The proposed model cannot only take advantage of independent information of each task, but also make use of the inter-task latent correlation information effectively, resulting to obtain better generalization performance for the built fuzzy systems. Experiments on synthetic and real-world datasets demonstrate the applicability and distinctive performance of the proposed multi-task fuzzy system model in multi-task modeling scenarios.
URI: http://hdl.handle.net/10397/30416
ISSN: 0020-0255
EISSN: 1872-6291
DOI: 10.1016/j.ins.2014.12.007
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

7
Last Week
0
Last month
0
Citations as of Aug 18, 2017

WEB OF SCIENCETM
Citations

6
Last Week
0
Last month
0
Citations as of Aug 14, 2017

Page view(s)

20
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.