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Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups
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Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups (2010)Fuzzy Forecasting Based on Fuzzy-Trend Lo…Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series (2007)Temperature prediction and TA…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…Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Forecasting enrollments using…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…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 …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 …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 sets (1965)Fuzzy setsMulti-attribute decision-making based on similarity measure between picture fuzzy sets and the MARCOS method (2023)Multi-attribute decision-maki…Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization (2021)Training simple recurrent dee…Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting (2021)Particle swarm optimization a…Multiattribute decision-making under Fermatean fuzzy bipolar soft framework (2021)Multiattribute decision-makin…Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques (2019)Fuzzy time series forecasting…Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process (2018)Prediction of TAIEX based on …Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression (2017)Minute-ahead stock price fore…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 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…Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification (2014)Fuzzy forecasting based on au…Effective intervals determined by information granules to improve forecasting in fuzzy time series (2013)Effective intervals determine…TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors (2012)TAIEX Forecasting Using Fuzzy…On Prioritized Multiple-Criteria Aggregation (2012)On Prioritized Multiple-Crite…Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques (2012)Fuzzy Forecasting Based on Tw…Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model (2011)Fuzzy Time Series Forecasting…The concept of a linguistic variable and its application to approximate reasoning—II (1975)The application of neural networks to forecast fuzzy time series (2005)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
  • 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
  • 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
  • 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
  • 2004A New Method to Forecast Enrollments Using Fuzzy Time Series192 cited
  • 2007

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Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series
150 cited

Cited by

  • 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
  • 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
  • 2019Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques114 cited
  • 2015A brief review of modeling approaches based on fuzzy time series107 cited
  • 2013Effective intervals determined by information granules to improve forecasting in fuzzy time series103 cited
  • 2017Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression92 cited
  • 2021Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization86 cited
  • 2021Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting76 cited
  • 2021Multiattribute decision-making under Fermatean fuzzy bipolar soft framework68 cited
  • 2014Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification64 cited
  • 2011Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model60 cited
  • 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process56 cited
  • 2023Multi-attribute decision-making based on similarity measure between picture fuzzy sets and the MARCOS method50 cited
  • 2012On Prioritized Multiple-Criteria Aggregation48 cited