Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multivariate stochastic fuzzy forecasting models
Expert Systems with Applications: An International Journal
Fuzzy dual-factor time-series for stock index forecasting
Expert Systems with Applications: An International Journal
A FCM-based deterministic forecasting model for fuzzy time series
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
A distance-based fuzzy time series model for exchange rates forecasting
Expert Systems with Applications: An International Journal
AN ENHANCED DETERMINISTIC FUZZY TIME SERIES FORECASTING MODEL
Cybernetics and Systems
Improved time-variant fuzzy time series forecast
Fuzzy Optimization and Decision Making
An integrated fuzzy time series forecasting system
Expert Systems with Applications: An International Journal
A new approach based on artificial neural networks for high order multivariate fuzzy time series
Expert Systems with Applications: An International Journal
A computational method of forecasting based on high-order fuzzy time series
Expert Systems with Applications: An International Journal
Forecasting enrollments using automatic clustering techniques and fuzzy logical relationships
Expert Systems with Applications: An International Journal
Application of fuzzy time series models for forecasting the amount of Taiwan export
Expert Systems with Applications: An International Journal
Forecasting TAIFEX based on fuzzy time series and particle swarm optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
Expert Systems with Applications: An International Journal
A neural network-based fuzzy time series model to improve forecasting
Expert Systems with Applications: An International Journal
A new method to forecast the TAIEX based on fuzzy time series
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A new method for forecasting the TAIEX based on high-order fuzzy logical relationships
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Deterministic vector long-term forecasting for fuzzy time series
Fuzzy Sets and Systems
An improved fuzzy forecasting method for seasonal time series
Expert Systems with Applications: An International Journal
An application of fuzzy time series to improve ISE forecasting
WSEAS Transactions on Mathematics
A stochastic HMM-based forecasting model for fuzzy time series
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy forecasting based on fuzzy-trend logical relationship groups
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A heuristic time-invariant model for fuzzy time series forecasting
Expert Systems with Applications: An International Journal
A fuzzy time series-based neural network approach to option price forecasting
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Adaptive time-variant models for fuzzy-time-series forecasting
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Handling forecasting problems based on high-order fuzzy logical relationships
Expert Systems with Applications: An International Journal
Forecasting TAIEX using improved type 2 fuzzy time series
Expert Systems with Applications: An International Journal
A vector forecasting model for fuzzy time series
Applied Soft Computing
Engineering Applications of Artificial Intelligence
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques
Expert Systems with Applications: An International Journal
A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export
Expert Systems with Applications: An International Journal
Forecasting neural network-based fuzzy time series with different neural network models
GAVTASC'11 Proceedings of the 11th WSEAS international conference on Signal processing, computational geometry and artificial vision, and Proceedings of the 11th WSEAS international conference on Systems theory and scientific computation
Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees
Expert Systems with Applications: An International Journal
WSEAS Transactions on Circuits and Systems
Fuzzy time series model incorporating predictor variables and interval partition
WSEAS Transactions on Mathematics
Expert Systems with Applications: An International Journal
Forecasting the TAIEX based on fuzzy time series, PSO techniques and support vector machines
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Information Sciences: an International Journal
An efficient time series forecasting model based on fuzzy time series
Engineering Applications of Artificial Intelligence
Introducing polynomial fuzzy time series
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In our daily life, people often use forecasting techniques to predict weather, economy, population growth, stock, etc. However, in the real world, an event can be affected by many factors. Therefore, if we consider more factors for prediction, then we can get better forecasting results. In recent years, many researchers used fuzzy time series to handle prediction problems. In this paper, we present a new method to predict temperature and the Taiwan Futures Exchange (TAIFEX), based on the two-factors high-order fuzzy time series. The proposed method constructs two-factors high-order fuzzy logical relationships based on the historical data to increase the forecasting accuracy rate. The proposed method gets a higher forecasting accuracy rate than the existing methods.