A novel multivariate grey model for forecasting the sequence of ternary interval numbers

DOI10.1016/J.APM.2018.12.020zbMath1464.62525OpenAlexW2907155248WikidataQ128680709 ScholiaQ128680709MaRDI QIDQ2310537

Lan Shu, Yanchao Shi, Fangli He, Shuli Yan, Xiang-Yan Zeng

Publication date: 6 April 2020

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

Full work available at URL: https://doi.org/10.1016/j.apm.2018.12.020

zbMATH Keywords

forecastingmultivariate grey modelternary interval number

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Estimation in multivariate analysis (62H12)

Related Items (5)

Fractal derivative fractional grey Riccati model and its application ⋮ An interval feature discrete grey-Markov model based on data distributions and applications ⋮ Novel weight-adaptive fusion grey prediction model based on interval sequences and its applications ⋮ Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence ⋮ Interval-valued intuitionistic fuzzy MADM method based on TOPSIS and grey correlation analysis

Cites Work

• Unnamed Item
• Unnamed Item
• Grey systems. Theory and applications.
• An exponential-type kernel robust regression model for interval-valued variables
• Grey-Markov prediction model based on background value optimization and central-point triangular whitenization weight function
• Triangular fuzzy series forecasting based on grey model and neural network
• Research on the novel recursive discrete multivariate grey prediction model and its applications
• The kernel-based nonlinear multivariate grey model
• Evaluating forecasting performance for interval data
• 多变量时滞GM(1,??) 模型及其应用

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