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Fuzzy time-series model based on rough set rule induction for forecasting stock price
16 references·4 citing·25 second hop
Fuzzy time-series model based on rough set rule induction for forecasting stock price (2018)Fuzzy time-series model based on rough se…TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)TAIEX forecasting based on fu…Fuzzy time-series based on adaptive expectation model for TAIEX forecasting (2006)Fuzzy time-series based on ad…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…A refined fuzzy time-series model for forecasting (2004)A refined fuzzy time-series m…Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Effective lengths of interval…An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network (2001)An intelligent stock trading …Temperature prediction using fuzzy time series (2000)Temperature prediction using …Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)The magical number seven, plu…Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Macroeconomics and Reality (1980)Macroeconomics and RealityTime Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plu…Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm (2020)Inbound tourism demand foreca…Constructing grey prediction models using grey relational analysis and neural networks for magnesium material demand forecasting (2020)Constructing grey prediction …Fusion model of wavelet transform and adaptive neuro fuzzy inference system for stock market prediction (2019)Fusion model of wavelet trans…Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm (2018)Forecasting Carbon Emissions …Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Pitfalls in Financial Model-Building (1968)Conditional logit analysis of qualitative choice behavior (1972)"Rational" Expectations, the Optimal Monetary Instrument, and the Optimal Money Supply Rule (1975)Time to Build and Aggregate Fluctuations (1982)Postwar U.S. Business Cycles: An Empirical Investigation (1997)Generalized impulse response analysis in linear multivariate models (1998)EXPERIMENTAL PSYCHOLOGY (1940)Working Memory (1974)A scaling method for priorities in hierarchical structures (1977)How to make a decision: The analytic hierarchy process (1990)The theory of planned behavior (1991)The application of neural networks to forecast fuzzy time series (2005)Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Exponential smoothing: The state of the art (1985)Using daily stock returns (1985)
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  • 2013TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines

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169 cited
  • 2004A refined fuzzy time-series model for forecasting148 cited
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