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Finding an optimal interval length in high order fuzzy time series
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Finding an optimal interval length in high order fuzzy time series (2009)Finding an optimal interval length in hig…Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations (2008)Forecasting in high order fuz…FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)FORECASTING ENROLLMENTS BASED…Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Effective lengths of interval…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 …A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting (2022)A New CNN-Based Model for Fin…A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting (2020)A novel probabilistic intuiti…A study on leading machine learning techniques for high order fuzzy time series forecasting (2019)A study on leading machine le…Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process (2018)Prediction of TAIEX based on …ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations (2017)ARMA(p,q) type high order fuz…A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction (2017)A novel high-order weighted f…High order fuzzy time series forecasting method based on an intersection operation (2016)High order fuzzy time series …Combining ARFIMA models and fuzzy time series for the forecast of long memory time series (2015)Combining ARFIMA models and f…A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables (2015)A clustering based forecastin…A brief review of modeling approaches based on fuzzy time series (2015)A brief review of modeling ap…PSO-based high order time invariant fuzzy time series method: Application to stock exchange data (2014)PSO-based high order time inv…Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification (2014)Fuzzy forecasting based on au…A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations (2013)A fuzzy time series approach …Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market (2011)Time-series forecasting with …Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model (2011)Fuzzy Time Series Forecasting…Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering (2011)Fuzzy time series forecasting…Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Weighted fuzzy time series models for TAIEX forecasting (2004)Control problems of grey systems (1982)Probabilistic Forecasting With Fuzzy Time Series (2019)FQTSFM: A fuzzy-quantum time series forecasting model (2021)Forecasting with artificial neural networks: (1998)A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks (2012)A survey on forecasting of time series data (2016)Another look at measures of forecast accuracy (2006)High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine (2020)Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting (2021)The application of neural networks to forecast fuzzy time series (2005)Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)High order fuzzy time series method based on pi-sigma neural network (2018)A Type 2 fuzzy time series model for stock index forecasting (2005)Handling forecasting problems based on two-factors high-order fuzzy time series (2006)
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References

  • 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
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series583 cited
  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2008Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations182 cited

Cited by

  • 2015A brief review of modeling approaches based on fuzzy time series107 cited
  • 2011Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering97 cited
  • 2019A study on leading machine learning techniques for high order fuzzy time series forecasting86 cited
  • 2020A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting80 cited
  • 2017ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations80 cited
  • 2022A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting77 cited
  • 2014Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification

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64 cited
  • 2016High order fuzzy time series forecasting method based on an intersection operation61 cited
  • 2011Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model60 cited
  • 2015A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables58 cited
  • 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process56 cited
  • 2013A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations56 cited
  • 2011Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market55 cited
  • 2015Combining ARFIMA models and fuzzy time series for the forecast of long memory time series55 cited
  • 2017A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction52 cited
  • 2014PSO-based high order time invariant fuzzy time series method: Application to stock exchange data51 cited