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Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques
16 references·9 citing·19 second hop
Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques (2019)Fuzzy time series forecasting based on pr…Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…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 Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques (2012)Fuzzy Forecasting Based on Tw…Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups (2010)Fuzzy Forecasting Based on Fu…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…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…A simple method of forecasting based on fuzzy time series (2006)A simple method of forecastin…Fuzzy forecasting based on fuzzy time series (2004)Fuzzy forecasting based on fu…Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Effective lengths of interval…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 setsSpherical fuzzy symmetric point criterion-based approach using Aczel–Alsina prioritization: application to sustainable supplier selection (2024)Spherical fuzzy symmetric poi…An extension of the best–worst method based on the spherical fuzzy sets for multi-criteria decision-making (2024)An extension of the best–wors…A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues (2023)A hybrid time series forecast…Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization (2021)Training simple recurrent dee…Recurrent fuzzy time series functions approaches for forecasting (2021)Recurrent fuzzy time series f…Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting (2021)Particle swarm optimization a…Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method (2021)Fuzzy time series forecasting…Multiple attribute decision making using improved intuitionistic fuzzy weighted geometric operators of intuitionistic fuzzy values (2020)Multiple attribute decision m…Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm (2020)Inbound tourism demand foreca…The concept of a linguistic variable and its application to approximate reasoning—II (1975)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Weighted fuzzy time series models for TAIEX forecasting (2004)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)A neural network-based fuzzy time series model to improve forecasting (2009)Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks (2012)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)The application of neural networks to forecast fuzzy time series (2005)Ratio-based lengths of intervals to improve fuzzy time series forecasting (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)A Type 2 fuzzy time series model for stock index forecasting (2005)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)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
  • 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
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series583 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 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
  • 2015Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures222 cited
  • 2006A simple method of forecasting based on fuzzy time series188 cited
  • 2004Fuzzy forecasting based on fuzzy time series155 cited
  • 2010Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups136 cited
  • 2014Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships

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135 cited
  • 2012Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques131 cited
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    • 2021Recurrent fuzzy time series functions approaches for forecasting42 cited
    • 2024Spherical fuzzy symmetric point criterion-based approach using Aczel–Alsina prioritization: application to sustainable supplier selection35 cited
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