Paper Info
Title
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data
Abstract
•IT2-GSETSK handles data streams in an interleaving test-and-train manner.•IT2-GSETSK's fully-online structure allows handling of non-stationary problems.•IT2-GSETSK's rule pruning supports structure learning by forgetting irrelevant rules.•IT2-GSETSK's rule merging module supports an interpretable rule-base.•In IT2-GSETSK, IT2 fuzzy sets can handle uncertainties with noisy data.
Year
DOI
Venue
2020
10.1016/j.neucom.2020.03.065
Neurocomputing
Keywords
DocType
Volume
Type-II,Self-evolving,GSETSK,Neuro-fuzzy,Noisy data,Non-stationary
Journal
407
ISSN
Citations 
PageRank 
0925-2312
0
0.34
References 
Authors
31
3
Name
Order
Citations
PageRank
Mohammad Ashrafi100.34
Dilip K. Prasad216221.84
Hiok Chai Quek329126.91