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A comparison of fuzzy forecasting and Markov modeling
2 references·16 citing·27 second hop
A comparison of fuzzy forecasting and Markov modeling (1994)A comparison of fuzzy forecasting and Mar…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 time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)A hybrid fuzzy time series mo…TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)TAIEX forecasting based on fu…Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks (2012)Fuzzy time series forecasting…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…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…A bivariate fuzzy time series model to forecast the TAIEX (2007)A bivariate fuzzy time series…Multi-attribute fuzzy time series method based on fuzzy clustering (2006)Multi-attribute fuzzy time se…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…A Type 2 fuzzy time series model for stock index forecasting (2005)A Type 2 fuzzy time series mo…A New Method to Forecast Enrollments Using Fuzzy Time Series (2004)A New Method to Forecast Enro…Fuzzy set theory applications in production management research: a literature survey (1998)Fuzzy set theory applications…Fuzzy sets (1965)Fuzzy sets (1996)Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors (2016)Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques (2018)Interval-valued intuitionistic fuzzy multiple attribute decision making based on nonlinear programming methodology and TOPSIS method (2019)Forecasting enrollments based on fuzzy time series (1996)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)A big data driven framework for demand-driven forecasting with effects of marketing-mix variables (2019)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Time Series Analysis: Forecasting and Control (1977)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)A new class of hybrid models for time series forecasting (2011)Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model (2015)Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms (2017)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis (2018)Fine-tuned support vector regression model for stock predictions (2021)Forecasting with artificial neural networks: (1998)TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)The concept of a linguistic variable and its application to approximate reasoning—II (1975)An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Weighted fuzzy time series models for TAIEX forecasting (2004)
this work references cited by second hop

References

  • 1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
  • 1994Forecasting enrollments with fuzzy time series — part II789 cited

Cited by

  • 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
  • 2005A Type 2 fuzzy time series model for stock index forecasting231 cited
  • 2014A hybrid fuzzy time series model based on granular computing for stock price forecasting228 cited
  • 2015Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures222 cited
  • 2007A bivariate fuzzy time series model to forecast the TAIEX220 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
  • 2004A New Method to Forecast Enrollments Using Fuzzy Time Series192 cited
  • 2006Multi-attribute fuzzy time series method based on fuzzy clustering192 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

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  • 1998Fuzzy set theory applications in production management research: a literature survey181 cited
  • 2007A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting175 cited
  • 2012Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks170 cited
  • 2013TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines169 cited