Using fractional order accumulation to reduce errors from inverse accumulated generating operator of grey model

DOI10.1007/s00500-014-1268-yzbMath1353.90036OpenAlexW2039109810MaRDI QIDQ344069

Ruiting Xu, Ligen Yao, Xunping Lei, Lifeng Wu, Si-Feng Liu

Publication date: 22 November 2016

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-014-1268-y

zbMATH Keywords

\(\mathrm{GM}(2,1)\) modeldeaths in road traffic accidentsfractional-order accumulationgrey systemtourism demand forecasting

Mathematics Subject Classification ID

Traffic problems in operations research (90B20) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74) Models of societies, social and urban evolution (91D10)

Related Items (7)

Forecasting the multifactorial interval grey number sequences using grey relational model and GM\((1, N)\) model based on effective information transformation ⋮ A greyness reduction framework for prediction of grey heterogeneous data ⋮ Augmented fractional accumulation grey model and its application: class ratio and restore error perspectives ⋮ A novel weighted fractional GM(1,1) model and its applications ⋮ The novel fractional discrete multivariate grey system model and its applications ⋮ A novel multi-information fusion grey model and its application in wear trend prediction of wind turbines ⋮ A novel multivariable grey prediction model with different accumulation orders and performance comparison

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• Analysis and prediction of hazard risks caused by tropical cyclones in southern China with fuzzy mathematical and grey models
• An improved grey dynamic GM(2, 1) model

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