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Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm
16 references·3 citing·24 second hop
Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm (2019)Fuzzy forecasting based on linear combina…Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…A neural network-based fuzzy time series model to improve forecasting (2009)A neural network-based fuzzy …A bivariate fuzzy time series model to forecast the TAIEX (2007)A bivariate fuzzy time series…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…Multi-attribute fuzzy time series method based on fuzzy clustering (2006)Multi-attribute fuzzy time se…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)FORECASTING ENROLLMENTS BASED…Heuristic models of fuzzy time series for forecasting (2001)Heuristic models of fuzzy tim…Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …A comparison of fuzzy forecasting and Markov modeling (1994)A comparison of fuzzy forecas…Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model (1987)Estimating Time Varying Risk …Recurrent fuzzy time series functions approaches for forecasting (2021)Recurrent fuzzy time series f…Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method (2021)Fuzzy time series forecasting…A deep learning approach for financial market prediction: utilization of Google trends and keywords (2019)A deep learning approach for …Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)A Type 2 fuzzy time series model for stock index forecasting (2005)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)The Volatility of Long-Term Interest Rates and Expectations Models of the Term Structure (1979)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Stock Returns and the Term Structure (1985)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Threshold heteroskedastic models (1994)The variation of certain speculative prices (1997)GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)An Introduction to Wavelets and Other Filtering Methods in Finance and Economics (2002)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets (2019)Systematic analysis and review of stock market prediction techniques (2019)Applied Economic Forecasting (1967)Introductory Econometrics for Finance (2008)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)
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References

  • 1987Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model2,469 cited
  • 1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 1994Forecasting enrollments with fuzzy time series — part II789 cited
  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 2001Heuristic models of fuzzy time series for forecasting440 cited
  • 2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2015Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures222 cited
  • 2007A bivariate fuzzy time series model to forecast the TAIEX220 cited
  • 2009A neural network-based fuzzy time series model to improve forecasting211 cited
  • 2006Multi-attribute fuzzy time series method based on fuzzy clustering

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192 cited
  • 2010TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups177 cited
  • Cited by

    • 2019A deep learning approach for financial market prediction: utilization of Google trends and keywords52 cited
    • 2021Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method46 cited
    • 2021Recurrent fuzzy time series functions approaches for forecasting42 cited