Time series seasonal analysis based on fuzzy transforms

DOI10.3390/sym9110281zbMath1428.62034OpenAlexW2763031117MaRDI QIDQ2333460

Ferdinando Di Martino, Salvatore Sessa

Publication date: 13 November 2019

Published in: Symmetry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/sym9110281

zbMATH Keywords

time seriesforecastingfuzzy partitionARIMAfuzzy transform

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Fuzzy analysis in statistics (62A86)

Related Items (1)

Quantile and expectile smoothing based on \(L_1\)-norm and \(L_2\)-norm fuzzy transforms

Cites Work

• Time series forecasting using a hybrid ARIMA and neural network model
• Fuzzy transforms method in prediction data analysis
• Signatures: definitions, operators and applications to fuzzy modelling
• Neural network forecasting for seasonal and trend time series
• Fuzzy transforms method and attribute dependency in data analysis
• Multi-adjoint t-concept lattices
• An image coding/decoding method based on direct and inverse fuzzy transforms
• Fuzzy transforms: theory and applications
• Unnamed Item
• Unnamed Item

This page was built for publication: Time series seasonal analysis based on fuzzy transforms