A novel interval grey prediction model considering uncertain information

DOI10.1016/J.JFRANKLIN.2013.08.007zbMath1293.93097OpenAlexW2047559644MaRDI QIDQ398317

Bo Zeng, Guo Chen, Si-Feng Liu

Publication date: 15 August 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.08.007

zbMATH Keywords

uncertain informationgeometric features of grey numbersinterval grey prediction model

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Geometric methods (93B27)

Related Items (7)

Stable Computation of Least Squares Problems of the OGM(1,N) Model and Short-Term Traffic Flow Prediction ⋮ A greyness reduction framework for prediction of grey heterogeneous data ⋮ Forecasting the short-term traffic flow in the intelligent transportation system based on an inertia nonhomogenous discrete gray model ⋮ An optimized discrete grey multi-variable convolution model and its applications ⋮ Dynamic analysis for a Kaldor-Kalecki model of business cycle with time delay and diffusion effect ⋮ Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence ⋮ Modeling method of the grey GM(1,1) model with interval grey action quantity and its application

Cites Work

• Discrete grey forecasting model and its optimization
• Grey systems. Theory and applications.
• Control problems of grey systems
• A new grey prediction model FGM\((1, 1)\)
• The GM models that x(n) be taken as initial value

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