Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules

DOI10.1016/j.ijar.2019.02.005zbMath1461.62157OpenAlexW2917506610MaRDI QIDQ2330027

Chao Luo, Yuanjie Zheng, Chen-Hao Tan

Publication date: 18 October 2019

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2019.02.005

zbMATH Keywords

time series predictionfuzzy inference systemstepwise linear divisiontime-variant zonary fuzzy information granule

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and fuzziness (62M86)

Related Items

Spatial-temporal fuzzy information granules for time series forecasting, Signal propagation of fuzzy granule networks deriving from financial time series, Finite-time controller design of multiple integrator nonlinear systems with input saturation, Statistical inference for time series with non-precise data, Time Series Forecasting Using Range Regression Automata

Cites Work

• Unnamed Item
• Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system
• Fuzzy time series and its models
• Rough-fuzzy rule interpolation
• Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures
• Using interval information granules to improve forecasting in fuzzy time series
• Using trapezoids for representing granular objects: applications to learning and OWA aggregation
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• Co-Integration and Error Correction: Representation, Estimation, and Testing
• Forecasting enrollments using high-order fuzzy time series and genetic algorithms
• Effective lengths of intervals to improve forecasting in fuzzy time series