A decision support system methodology for forecasting of time series based on soft computing

DOI10.1016/j.csda.2006.02.010zbMath1157.62502OpenAlexW2046109338MaRDI QIDQ1010354

José D. Bermúdez, José Vicente Segura, Enriqueta Vercher

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.02.010

zbMATH Keywords

forecastingexponential smoothingfuzzy mathematical programmingmultiple criteria evaluationHolt-Winters method

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (8)

Initial conditions estimation for improving forecast accuracy in exponential smoothing ⋮ Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data ⋮ Forecasting time series with multiple seasonal patterns ⋮ Unnamed Item ⋮ SIOPRED: a prediction and optimisation integrated system for demand ⋮ Multivariate exponential smoothing: a Bayesian forecast approach based on simulation ⋮ The fuzzy approach to statistical analysis ⋮ Forecasting time series with missing data using Holt's model

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