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Forecasting enrollments with fuzzy time series — Part I
2 references·16 citing·10 second hop
Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with fuzzy time s…The concept of a linguistic variable and its application to approximate reasoning—II (1975)The concept of a linguistic v…Fuzzy sets (1965)Fuzzy setsImprovement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…Handling forecasting problems based on two-factors high-order fuzzy time series (2006)Handling forecasting problems…Fuzzy time-series based on adaptive expectation model for TAIEX forecasting (2006)Fuzzy time-series based on ad…Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Forecasting enrollments using…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…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…Fuzzy sets (1996)L-fuzzy sets (1967)Vagueness, truth and logic (1975)A 2-tuple fuzzy linguistic representation model for computing with words (2000)Hesitant Fuzzy Linguistic Term Sets for Decision Making (2011)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)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
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References

  • 1965Fuzzy sets67,827 cited
  • 1975The concept of a linguistic variable and its application to approximate reasoning—II2,554 cited

Cited by

  • 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
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2006Forecasting enrollments using high-order fuzzy time series and genetic algorithms

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252 cited
  • 2006Handling forecasting problems based on two-factors high-order fuzzy time series246 cited
  • 2006Fuzzy time-series based on adaptive expectation model for TAIEX forecasting236 cited
  • 2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 cited