Fuzzy Rule-Based Ensemble Forecasting: Introductory Study

DOI10.1007/978-3-642-33042-1_41OpenAlexW72474374MaRDI QIDQ2805812

Martin Štěpnička, Lenka Vavříčková, David Sikora

Publication date: 13 May 2016

Published in: Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-33042-1_41

zbMATH Keywords

time seriesfuzzy rulesensembles

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• A linguistic approach to time series modeling with the help of F-transform
• A comprehensive theory of trichotomous evaluative linguistic expressions
• Mechanizing hypothesis formation. Mathematical foundations for a general theory
• Learning rule base in linguistic expert systems
• Mining pure linguistic associations from numerical data
• Distribution of the Estimators for Autoregressive Time Series With a Unit Root
• Redundancies in systems of fuzzy/linguistic IF-THEN rules
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