Title
Heterogeneous classifier ensemble with fuzzy rule-based meta learner.
Abstract
•We propose a heterogeneous ensemble system with a fuzzy IF-THEN rule-based meta learner.•The proposed system is highly competitive to several well-known machine learning algorithms, ensemble methods, and fuzzy IF-THEN rule-based classification systems.
Year
DOI
Venue
2018
10.1016/j.ins.2017.09.009
Information Sciences
Field
DocType
Volume
Decision tree,AdaBoost,Pattern recognition,Random subspace method,Computer science,Support vector machine,Fuzzy logic,Artificial intelligence,Classifier (linguistics),Ensemble learning,Machine learning,Fuzzy rule
Journal
422
Issue
ISSN
Citations 
C
0020-0255
8
PageRank 
References 
Authors
0.44
36
4
Name
Order
Citations
PageRank
Tien Thanh Nguyen17912.55
Mai Phuong Nguyen2463.82
Xuan Cuong Pham3544.75
Alan Wee-Chung Liew479961.54