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FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES
6 references·16 citing·19 second hop
FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)FORECASTING ENROLLMENTS BASED ON HIGH-ORD…Fuzzy sets (1996)Fuzzy setsForecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …The concept of a linguistic variable and its application to approximate reasoning—II (1975)The concept of a linguistic v…Fuzzy sets (1965)Fuzzy setsFuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)A new fuzzy time series forec…TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)TAIEX forecasting based on fu…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…A neural network-based fuzzy time series model to improve forecasting (2009)A neural network-based fuzzy …Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations (2008)Forecasting in high order fuz…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (2007)A new hybrid artificial neura…A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting (2007)A Multivariate Heuristic Mode…Pattern discovery of fuzzy time series for financial prediction (2006)Pattern discovery of fuzzy ti…Handling forecasting problems based on two-factors high-order fuzzy time series (2006)Handling forecasting problems…Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Forecasting enrollments using…A simple method of forecasting based on fuzzy time series (2006)A simple method of forecastin…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…A New Method to Forecast Enrollments Using Fuzzy Time Series (2004)A New Method to Forecast Enro…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)A Type 2 fuzzy time series model for stock index forecasting (2005)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)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)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Heuristic models of fuzzy time series for forecasting (2001)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)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)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
  • 1996Fuzzy sets46,880 cited
  • 1975The concept of a linguistic variable and its application to approximate reasoning—II2,554 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

Cited by

  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2006Forecasting enrollments using high-order fuzzy time series and genetic algorithms252 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
  • 2015Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures222 cited
  • 2009A neural network-based fuzzy time series model to improve forecasting211 cited
  • 2007A new hybrid artificial neural networks and fuzzy regression model for time series forecasting207 cited
  • 2004

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A New Method to Forecast Enrollments Using Fuzzy Time Series
192 cited
  • 2006A simple method of forecasting based on fuzzy time series188 cited
  • 2008Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations182 cited
  • 2006Pattern discovery of fuzzy time series for financial prediction180 cited
  • 2010TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups177 cited
  • 2014A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression177 cited
  • 2007A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting175 cited
  • 2013TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines169 cited