Forecasting models of agricultural process based on fuzzy time series

Today, the problem of increasing the validity and accuracy of forecasts based on the analysis of time series under conditions of uncertainty is very important. The models and methods used to predict the dynamics of agricultural processes are built on quantitative information and are implemented as p...

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Veröffentlicht in:	IOP conference series. Materials Science and Engineering 2020-12, Vol.986 (1), p.12013
Hauptverfasser:	Parfenova, V. E., Bulgakova, G. G., Amagaeva, Yu. G., Evdokimov, K. V., Samorukov, V. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Forecasting Mathematical models Statistical methods Time series Uncertainty
Online-Zugang:	Volltext
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