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An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization
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An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization (2013)An ARMA Type Fuzzy Time Series Forecastin…An Introduction to Long-Memory Time Series Models and Fractional Differencing (2010)An Introduction to Long-Memor…An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization (2008)An improved method for foreca…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…Fuzzy time-series based on adaptive expectation model for TAIEX forecasting (2006)Fuzzy time-series based on ad…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…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…Handling forecasting problems using fuzzy time series (1998)Handling forecasting problems…Statistics for Long-Memory Processes. (1996)Statistics for Long-Memory Pr…Forecasting 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 …Fractional Differencing (1981)Fractional DifferencingAN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)AN INTRODUCTION TO LONG‐MEMOR…A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network (2019)A new fuzzy time series metho…Fractional Brownian Motions, Fractional Noises and Applications (1968)Money, income, and sunspots: Measuring economic relationships and the effects of differencing (1978)Long memory relationships and the aggregation of dynamic models (1980)Modelling structural breaks, long memory and stock market volatility: an overview (2004)Autoregressive gamma processes (2006)Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics (2014)Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS (1983)DEVELOPMENTS IN THE STUDY OF COINTEGRATED ECONOMIC VARIABLES (1986)A long memory property of stock market returns and a new model (1993)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)Wavelet analysis of long-range-dependent traffic (1998)Statistical properties of the volatility of price fluctuations (1999)The Distribution of Realized Exchange Rate Volatility (2001)Fractionally integrated generalized autoregressive conditional heteroskedasticity (1996)Long memory processes and fractional integration in econometrics (1996)
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References

  • 1980AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING3,376 cited
  • 1981Fractional Differencing2,720 cited
  • 1996Statistics for Long-Memory Processes.2,686 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
  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 2010An Introduction to Long-Memory Time Series Models and Fractional Differencing464 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 1998Handling forecasting problems using fuzzy time series368 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2006Fuzzy time-series based on adaptive expectation model for TAIEX forecasting236 cited

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  • 2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 cited
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    • 2019A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network25 cited