SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting
12 references·16 citing·12 second hop
A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting (2007)A Multivariate Heuristic Model for Fuzzy …Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…A Type 2 fuzzy time series model for stock index forecasting (2005)A Type 2 fuzzy time series mo…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…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 time series forecasting based on optimal partitions of intervals and optimal weighting vectors (2016)Fuzzy time series forecasting…Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques (2016)Fuzzy forecasting based on tw…A survey on forecasting of time series data (2016)A survey on forecasting of ti…A novel forecasting method based on multi-order fuzzy time series and technical analysis (2016)A novel forecasting method ba…A brief review of modeling approaches based on fuzzy time series (2015)A brief review of modeling ap…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…Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization (2013)Forecasting stock index price…An efficient time series forecasting model based on fuzzy time series (2013)An efficient time series fore…A novel time-series model based on empirical mode decomposition for forecasting TAIEX (2013)A novel time-series model bas…TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors (2012)TAIEX Forecasting Using Fuzzy…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…Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques (2011)Fuzzy forecasting based on hi…Handling forecasting problems based on high-order fuzzy logical relationships (2010)Handling forecasting problems…Prediction-based portfolio optimization model using neural networks (2009)Prediction-based portfolio op…Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Applied Economic Forecasting (1967)Introductory Econometrics for Finance (2008)A neural network-based fuzzy time series model to improve forecasting (2009)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)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)
this work references cited by second hop

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
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 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
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2005A Type 2 fuzzy time series model for stock index forecasting231 cited

Cited by

  • 2009Prediction-based portfolio optimization model using neural networks171 cited
  • 2013TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines169 cited
  • 2016A survey on forecasting of time series data

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

153 cited
  • 2011Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques151 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 based on optimal partitions of intervals and optimal weighting vectors130 cited
  • 2012TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors128 cited
  • 2016Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques127 cited
  • 2011Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques123 cited
  • 2016A novel forecasting method based on multi-order fuzzy time series and technical analysis118 cited
  • 2010Handling forecasting problems based on high-order fuzzy logical relationships110 cited
  • 2015A brief review of modeling approaches based on fuzzy time series107 cited
  • 2013Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization101 cited
  • 2013A novel time-series model based on empirical mode decomposition for forecasting TAIEX94 cited
  • 2013An efficient time series forecasting model based on fuzzy time series88 cited