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A New Fuzzy Time Series Model Based on Cluster Analysis Problem
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A New Fuzzy Time Series Model Based on Cluster Analysis Problem (2019)A New Fuzzy Time Series Model Based on Cl…TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)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 …Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets (2008)Fuzzy time series model based…Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations (2008)Forecasting in high order fuz…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…A simple method of forecasting based on fuzzy time series (2006)A simple method of forecastin…Fuzzy forecasting based on fuzzy time series (2004)Fuzzy forecasting based on fu…A New Method to Forecast Enrollments Using Fuzzy Time Series (2004)A New Method to Forecast Enro…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…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…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …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 …A Novel Fuzzy Time Series Forecasting Model Based on Multiple Linear Regression and Time Series Clustering (2020)A Novel Fuzzy Time Series For…Fuzzy sets (1996)Pattern discovery of fuzzy time series for financial prediction (2006)TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)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)Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Weighted fuzzy time series models for TAIEX forecasting (2004)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)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 time series forecasting based on fuzzy logical relationships and similarity measures (2015)The application of neural networks to forecast fuzzy time series (2005)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)
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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 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
  • 2001Heuristic models of fuzzy time series for forecasting440 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 2009A neural network-based fuzzy time series model to improve forecasting211 cited
  • 2004A New Method to Forecast Enrollments Using Fuzzy Time Series192 cited
  • 2006A simple method of forecasting based on fuzzy time series188 cited
  • 2008Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations182 cited
  • 2013TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines169 cited
  • 2004Fuzzy forecasting based on fuzzy time series155 cited
  • 2009A new approach based on artificial neural networks for high order multivariate fuzzy time series

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127 cited
  • 2008Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets109 cited
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    • 2020A Novel Fuzzy Time Series Forecasting Model Based on Multiple Linear Regression and Time Series Clustering34 cited