Grey number prediction using the grey modification model with progression technique

DOI10.1016/j.apm.2010.09.008zbMath1211.62170OpenAlexW2093616809MaRDI QIDQ534907

Pin-Chan Lee, Chi-Sheng Shih, Jerome Yeh, Yen-Tseng Hsu

Publication date: 10 May 2011

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.09.008

zbMATH Keywords

background valuegrey modelinitial valuegrey numberprogression technique

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Inference from stochastic processes and fuzziness (62M86)

Related Items (8)

A greyness reduction framework for prediction of grey heterogeneous data ⋮ On unified framework for continuous-time grey models: an integral matching perspective ⋮ A grey-based fitting coefficient to build a hybrid forecasting model for small data sets ⋮ An extended grey forecasting model for omnidirectional forecasting considering data gap difference ⋮ Generalized GM (1,1) model and its application in forecasting of fuel production ⋮ Triangular fuzzy series forecasting based on grey model and neural network ⋮ Uncertainty quantification of multi-dimensional parameters for composite laminates based on grey mathematical theory ⋮ Geometrical variable weights buffer GM(1,1) model and its application in forecasting of China's energy consumption

Cites Work

• Discrete grey forecasting model and its optimization
• The deterministic grey dynamic model with convolution integral \(DGDMC(1, n)\)
• Novel methods on comparing grey numbers
• Parameter optimization of nonlinear grey Bernoulli model using particle swarm optimization
• Control problems of grey systems
• A research on the deterministic grey dynamic model with multiple inputs DGDMMI(1,1,1).
• A fuzzy seasonal ARIMA model for forecasting
• The foundation of the grey matrix and the grey input-output analysis
• A prediction method using the grey model GMC(1,\(n\)) combined with the grey relational analysis: a case study on internet access population forecast
• High-precision forecast using grey models
• 2-D recursive bilinear model for nonlinear signal representation
• The indirect measurement of tensile strength by the deterministic grey dynamic model DGDM(1, 1, 1)
• The GM models that x(n) be taken as initial value

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