SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method
8 references·1 citing·41 second hop
Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method (2018)Forecasting Crude Palm Oil Prices Using F…A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)A hybrid fuzzy time series mo…Online fuzzy time series analysis based on entropy discretization and a Fast Fourier Transform (2013)Online fuzzy time series anal…A high-order fuzzy time series forecasting model for internet stock trading (2013)A high-order fuzzy time serie…Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…Hybridization of intelligent techniques and ARIMA models for time series prediction (2007)Hybridization of intelligent …Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Futures market efficiency and the time content of the information sets (1983)Futures market efficiency and…A Novel Stochastic Fuzzy Time Series Forecasting Model Based on a New Partition Method (2021)A Novel Stochastic Fuzzy Time…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Stock Price Prediction Using the ARIMA Model (2014)Time Series Analysis: Forecasting and Control. (1978)Time series forecasting using a hybrid ARIMA and neural network model (2003)Development of a PSO–SA hybrid metaheuristic for a new comprehensive regression model to time-series forecasting (2009)A new class of hybrid models for time series forecasting (2011)A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting (2015)Fuzzy sets (1965)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Fuzzy sets (1996)An intelligent short term stock trading fuzzy system for assisting investors in portfolio management (2015)Probabilistic Forecasting With Fuzzy Time Series (2019)Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting (2021)Rational Expectations and the Theory of Price Movements (1961)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Searching for fractal structure in agricultural futures markets (1997)Efficiency tests of agricultural commodity futures markets in China (2005)Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM (2020)Applied Economic Forecasting (1967)Forecasting enrollments with fuzzy time series — Part I (1993)Introductory Econometrics for Finance (2008)A neural network-based fuzzy time series model to improve forecasting (2009)Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Time Series Analysis, Forecasting and Control. (1971)Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model (2019)Systematic analysis and review of stock market prediction techniques (2019)Machine learning techniques and data for stock market forecasting: A literature review (2022)Rainfall and financial forecasting using fuzzy time series and neural networks based model (2016)Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm (2019)Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models (2021)
this work references cited by second hop

References

  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting309 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)307 cited
  • 2014A hybrid fuzzy time series model based on granular computing for stock price forecasting228 cited
  • 2007Hybridization of intelligent techniques and ARIMA models for time series prediction176 cited
  • 2013A high-order fuzzy time series forecasting model for internet stock trading112 cited
  • 2013Online fuzzy time series analysis based on entropy discretization and a Fast Fourier Transform93 cited
  • 1983Futures market efficiency and the time content of the information sets64 cited

Cited by

  • 2021A Novel Stochastic Fuzzy Time Series Forecasting Model Based on a New Partition Method29 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work