Incremental rule splitting in generalized evolving fuzzy systems for autonomous drift compensation

• Main Authors: Lughofer, Edwin, Pratama, Mahardhika, Skrjanc, Igor
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Data Stream Modeling; Drift Compensation
• Online Access: https://hdl.handle.net/10356/140102
• Institution: Nanyang Technological University

Gradual drifts in data streams are usually hard to detect and often do not necessarily trigger the evolution of new fuzzy rules during model adaptation steps in order to represent the new, drifted data distribution(s) appropriately in the fuzzy model. Over time, they thus lead to oversized rules wit...