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PSO-based high order time invariant fuzzy time series method: Application to stock exchange data
16 references·3 citing·15 second hop
PSO-based high order time invariant fuzzy time series method: Application to stock exchange data (2014)PSO-based high order time invariant fuzzy…A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)A new time invariant fuzzy ti…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…A new approach based on artificial neural networks for high order multivariate fuzzy time series (2009)A new approach based on artif…A neural network-based fuzzy time series model to improve forecasting (2009)A neural network-based fuzzy …Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations (2008)Forecasting in high order fuz…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting (2007)A Multivariate Heuristic Mode…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…Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Forecasting enrollments using…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 …Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Improved BIGRU Model and Its Application in Stock Price Forecasting (2023)Improved BIGRU Model and Its …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 novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets (2019)A novel high-order fuzzy time…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)Forecasting with artificial neural networks: (1998)A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)Applied Economic Forecasting (1967)Introductory Econometrics for Finance (2008)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)A big data driven framework for demand-driven forecasting with effects of marketing-mix variables (2019)The application of neural networks to forecast fuzzy time series (2005)A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (2007)Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)
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References

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  • 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
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 2006Forecasting enrollments using high-order fuzzy time series and genetic algorithms252 cited
  • 2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 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 clustering192 cited
  • 2008Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations182 cited
  • 2010TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups177 cited
  • 2007A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting175 cited
  • 2012

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A new time invariant fuzzy time series forecasting method based on particle swarm optimization
138 cited
  • 2009A new approach based on artificial neural networks for high order multivariate fuzzy time series127 cited
  • Cited by

    • 2021Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method46 cited
    • 2023Improved BIGRU Model and Its Application in Stock Price Forecasting42 cited
    • 2019A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets39 cited