Seasonal Time Series Forecasting by F<sup>1</sup>-Fuzzy Transform
We present a new seasonal forecasting method based on F<sup>1</sup>-transform (fuzzy transform of order 1) applied on weather datasets. The objective of this research is to improve the performances of the fuzzy transform-based prediction method applied to seasonal time series. The time s...
Main Authors: | Ferdinando Di Martino, Salvatore Sessa |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/16/3611 |
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