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Handling forecasting problems based on fuzzy time series model and model error learning
16 references·1 citing·26 second hop
Handling forecasting problems based on fuzzy time series model and model error learning (2019)Handling forecasting problems based on fu…Introductory Econometrics for Finance (2008)Introductory Econometrics for…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…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…Comparing Predictive Accuracy (2002)Comparing Predictive AccuracyHeuristic models of fuzzy time series for forecasting (2001)Heuristic models of fuzzy tim…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 …Comparing Predictive Accuracy (1994)Comparing Predictive AccuracyA 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 setsStock index forecasting: A new fuzzy time series forecasting method (2020)Stock index forecasting: A ne…The Pricing of Options and Corporate Liabilities (1973)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Econometric Analysis of Cross Section and Panel Data (2001)Oil prices and the stock prices of alternative energy companies (2007)Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis (2011)The Impact of Corporate Social Responsibility Disclosure on Financial Performance: Evidence from the GCC Islamic Banking Sector (2016)The concept of a linguistic variable and its application to approximate reasoning—II (1975)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)THE DEMAND FOR HIGHER EDUCATION AND INSTITUTIONAL ENROLLMENT FORECASTING (1979)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation (1991)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)Forecasting Economic Time Series (2000)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)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)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Set-Theoretic Methods for the Social Sciences (2012)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes (2012)Applications of deep learning in stock market prediction: Recent progress (2021)Machine learning in the Chinese stock market (2021)
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  • 2020Stock index forecasting: A new fuzzy time series forecasting method26 cited