Fuzzy time series and its models
Fuzzy Sets and Systems
Forecasting enrollments with fuzzy time series—part I
Fuzzy Sets and Systems
Forecasting enrollments with fuzzy time series—part II
Fuzzy Sets and Systems
Forecasting enrollments based on fuzzy time series
Fuzzy Sets and Systems
Handling forecasting problems using fuzzy time series
Fuzzy Sets and Systems
Investment using technical analysis and fuzzy logic
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
Fuzzy relation analysis in fuzzy time series model
Computers & Mathematics with Applications
Segmentation of stock trading customers according to potential value
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 integrated fuzzy time series forecasting system
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
A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
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
Adaptive-expectation based multi-attribute FTS model for forecasting TAIEX
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
An improved fuzzy forecasting method for seasonal time series
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
Mathematics and Computers in Simulation
Forecasting TAIEX using improved type 2 fuzzy time series
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering
Expert Systems with Applications: An International Journal
Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques
Expert Systems with Applications: An International Journal
The adaptive fuzzy time series model with an application to Taiwan's tourism demand
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy time series model incorporating predictor variables and interval partition
WSEAS Transactions on Mathematics
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Determination of temporal information granules to improve forecasting in fuzzy time series
Expert Systems with Applications: An International Journal
The modeling of time series based on fuzzy information granules
Expert Systems with Applications: An International Journal
Introducing polynomial fuzzy time series
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.08 |
Time-series models have been used to make predictions in the areas of stock price forecasting, academic enrollment and weather, etc. However, in stock markets, reasonable investors will modify their forecasts based on recent forecasting errors. Therefore, we propose a new fuzzy time-series model which incorporates the adaptive expectation model into forecasting processes to modify forecasting errors. Using actual trading data from Taiwan Stock Index (TAIEX) and, we evaluate the accuracy of the proposed model by comparing our forecasts with those derived from Chen's [Chen, S. M. (1996). Forecasting enrollments based on fuzzy time-series, Fuzzy Sets and Systems, 81, 311-319] and Yu's [Yu, Hui-Kuang. (2004). Weighted fuzzy time-series models for TAIEX forecasting. Physica A, 349, 609-624] models. The comparison results indicate that our model surpasses in accuracy those suggested by Chen and Yu.