SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting enrollments using high-order fuzzy time series and genetic algorithms
10 references·16 citing·11 second hop
Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Forecasting enrollments using high-order …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…Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Effective lengths of interval…Temperature prediction using fuzzy time series (2000)Temperature prediction using …Handling forecasting problems using fuzzy time series (1998)Handling forecasting problems…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 sets (1965)Fuzzy setsPrediction of Bitcoin prices with machine learning methods using time series data (2018)Prediction of Bitcoin prices …A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches (2018)A hybrid fuzzy time series fo…Fuzzy time series forecasting method based on hesitant fuzzy sets (2016)Fuzzy time series forecasting…A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting (2016)A hybrid ANFIS model based on…Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)Fuzzy Forecasting Based on Tw…TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)TAIEX forecasting based on fu…Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks (2012)Fuzzy time series forecasting…Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques (2012)Fuzzy Forecasting Based on Tw…Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques (2011)Multivariate fuzzy forecastin…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups (2010)Fuzzy Forecasting Based on Fu…Forecasting TAIFEX based on fuzzy time series and particle swarm optimization (2009)Forecasting TAIFEX based on f…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series (2007)Temperature prediction and TA…A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (2007)A new hybrid artificial neura…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)Handling forecasting problems based on two-factors high-order fuzzy time series (2006)Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)A Type 2 fuzzy time series model for stock index forecasting (2005)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 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
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series583 cited
  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 2001Heuristic models of fuzzy time series for forecasting440 cited
  • 2000Temperature prediction using fuzzy time series400 cited
  • 1998Handling forecasting problems using fuzzy time series368 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited

Cited by

  • 2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 cited
  • 2015Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures222 cited
  • 2007A new hybrid artificial neural networks and fuzzy regression model for time series forecasting207 cited
  • 2016A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting190 cited
  • 2010TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

177 cited
  • 2012Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks170 cited
  • 2013TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines169 cited
  • 2007Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series150 cited
  • 2018A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches137 cited
  • 2010Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups136 cited
  • 2014Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships135 cited
  • 2012Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques131 cited
  • 2016Fuzzy time series forecasting method based on hesitant fuzzy sets126 cited
  • 2009Forecasting TAIFEX based on fuzzy time series and particle swarm optimization124 cited
  • 2011Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques123 cited
  • 2018Prediction of Bitcoin prices with machine learning methods using time series data120 cited