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ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations · Study

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ArticleARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations

Cem Koçak2017

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Articlegreen2017

ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations

80 citations·0/0 files stored·Applied Soft Computing

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Forecasting Techniques and Applications Stock Market Forecasting Methods Fuzzy Systems and Optimization

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References

1965Fuzzy sets 1996Fuzzy sets 1993Forecasting enrollments with fuzzy time series — Part I 1996Forecasting enrollments based on fuzzy time series 1994Forecasting enrollments with fuzzy time series — part II 2001Effective lengths of intervals to improve forecasting in fuzzy time series 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES 2005The application of neural networks to forecast fuzzy time series

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2024Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices 2018Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process 2019A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets

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Year2017

Typearticle

Published2017-04-25

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations80

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.asoc.2017.04.021

openalex_workW2607582014

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