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An efficient time series forecasting model based on fuzzy time series
16 references·10 citing·14 second hop
An efficient time series forecasting model based on fuzzy time series (2013)An efficient time series forecasting mode…Operations Management for Competitive Advantage (2014)Operations Management for Com…Application of a PSO-based neural network in analysis of outcomes of construction claims (2007)Application of a PSO-based ne…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…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 …Operations Management for Competitive Advantage (2000)Operations Management for Com…Handling forecasting problems using fuzzy time series (1998)Handling forecasting problems…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 …Fuzzy sets (1965)Fuzzy setsA novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine (2023)A novel high order hesitant f…FQTSFM: A fuzzy-quantum time series forecasting model (2021)FQTSFM: A fuzzy-quantum time …High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine (2020)High-Order Fuzzy Time Series …A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting (2020)A novel probabilistic intuiti…A study on leading machine learning techniques for high order fuzzy time series forecasting (2019)A study on leading machine le…Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process (2018)Prediction of TAIEX based on …A novel data partitioning and rule selection technique for modeling high-order fuzzy time series (2017)A novel data partitioning and…A Fuzzy-LP Approach in Time Series Forecasting (2017)A Fuzzy-LP Approach in Time S…Rainfall and financial forecasting using fuzzy time series and neural networks based model (2016)Rainfall and financial foreca…Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification (2014)Fuzzy forecasting based on au…The concept of a linguistic variable and its application to approximate reasoning—II (1975)Evaluating firm's green supply chain management in linguistic preferences (2010)Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP) (2011)Co-production and its effects on service innovation (2011)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)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

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  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 1994Forecasting enrollments with fuzzy time series — part II789 cited
  • 2000Operations Management for Competitive Advantage688 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
  • 2014Operations Management for Competitive Advantage368 cited
  • 1998Handling forecasting problems using fuzzy time series368 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 2007Application of a PSO-based neural network in analysis of outcomes of construction claims269 cited
  • 2006Handling forecasting problems based on two-factors high-order fuzzy time series

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246 cited

Cited by

  • 2019A study on leading machine learning techniques for high order fuzzy time series forecasting86 cited
  • 2020A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting80 cited
  • 2021FQTSFM: A fuzzy-quantum time series forecasting model77 cited
  • 2016Rainfall and financial forecasting using fuzzy time series and neural networks based model66 cited
  • 2014Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification64 cited
  • 2017A novel data partitioning and rule selection technique for modeling high-order fuzzy time series60 cited
  • 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process56 cited
  • 2017A Fuzzy-LP Approach in Time Series Forecasting54 cited
  • 2020High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine46 cited
  • 2023A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine44 cited