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An improved Fuzzy Time Series forecasting model based on Particle Swarm intervalization
16 references·1 citing·18 second hop
An improved Fuzzy Time Series forecasting model based on Particle Swarm intervalization (2009)An improved Fuzzy Time Series forecasting…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…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model (2008)A new hybrid approach based o…A new approach for determining the length of intervals for fuzzy time series (2008)A new approach for determinin…Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series (2007)Temperature prediction and TA…Fuzzy dual-factor time-series for stock index forecasting (2007)Fuzzy dual-factor time-series…Deterministic fuzzy time series model for forecasting enrollments (2007)Deterministic fuzzy time seri…Handling forecasting problems based on two-factors high-order fuzzy time series (2006)Handling forecasting problems…A simple method of forecasting based on fuzzy time series (2006)A simple method of forecastin…A robust method of forecasting based on fuzzy time series (2006)A robust method of forecastin…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 …Fuzzy lagged variable selection in fuzzy time series with genetic algorithms (2014)Fuzzy lagged variable selecti…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)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)TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)A Type 2 fuzzy time series model for stock index forecasting (2005)Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups (2010)Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques (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 new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange (2014)A survey on forecasting of time series data (2016)A neural network-based fuzzy time series model to improve forecasting (2009)
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References

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  • 1994Forecasting enrollments with fuzzy time series — part II789 cited
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  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2006Handling forecasting problems based on two-factors high-order fuzzy time series246 cited
  • 2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 cited
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  • 2007Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series150 cited
  • 2008A new approach for determining the length of intervals for fuzzy time series133 cited
  • 2008Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets109 cited
  • 2007Deterministic fuzzy time series model for forecasting enrollments104 cited
  • 2008A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

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97 cited
  • 2006A robust method of forecasting based on fuzzy time series96 cited
  • 2007Fuzzy dual-factor time-series for stock index forecasting81 cited
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    • 2014Fuzzy lagged variable selection in fuzzy time series with genetic algorithms35 cited