A Neutrosophic Forecasting Model for Time Series Based on First-Order State and Information Entropy of High-Order Fluctuation

A Neutrosophic Forecasting Model for Time Series Based on First-Order State and Information Entropy of High-Order Fluctuation

In time series forecasting, information presentation directly affects prediction efficiency. Most existing time series forecasting models follow logical rules according to the relationships between neighboring states, without considering the inconsistency of fluctuations for a related period. In thi...

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Bibliographic Details
Main Authors: Hongjun Guan, Zongli Dai, Shuang Guan, Aiwu Zhao
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Entropy
Subjects:
information entropy
aggregation operator
forecasting
neutrosophic set
Online Access:https://www.mdpi.com/1099-4300/21/5/455

Internet

https://www.mdpi.com/1099-4300/21/5/455

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