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A New Bandwidth Interval Based Forecasting Method for Enrollments Using Fuzzy Time Series
9 references·1 citing·19 second hop
A New Bandwidth Interval Based Forecasting Method for Enrollments Using Fuzzy Time Series (2011)A New Bandwidth Interval Based Forecastin…Modified Weighted for Enrollment Forecasting Based on Fuzzy Time Series (2009)Modified Weighted for Enrollm…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…Trend-Weighted Fuzzy Time-Series Model for TAIEX Forecasting (2006)Trend-Weighted Fuzzy Time-Ser…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…Temperature prediction using fuzzy time series (2000)Temperature prediction using …Fuzzy sets (1996)Fuzzy setsForecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …A Novel Moving Average Forecasting Approach Using Fuzzy Time Series Data Set (2019)A Novel Moving Average Foreca…The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The concept of a linguistic variable and its application to approximate reasoning—II (1975)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Fuzzy dual-factor time-series for stock index forecasting (2007)A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX (2013)A Novel Stock Forecasting Model based on Fuzzy Time Series and Genetic Algorithm (2013)Fuzzy sets (1965)Weighted fuzzy time series models for TAIEX forecasting (2004)Forecasting enrollments with fuzzy time series — part II (1994)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)Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees (2012)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)
this work references cited by second hop

References

  • 1996Fuzzy sets46,880 cited
  • 1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series583 cited
  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 2000Temperature prediction using fuzzy time series400 cited
  • 2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 cited
  • 2006Trend-Weighted Fuzzy Time-Series Model for TAIEX Forecasting81 cited
  • 2009Modified Weighted for Enrollment Forecasting Based on Fuzzy Time Series42 cited

Cited by

  • 2019A Novel Moving Average Forecasting Approach Using Fuzzy Time Series Data Set30 cited

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