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
Fuzzy dual-factor time-series for stock index forecasting
Expert Systems with Applications: An International Journal
A hybrid multi-order fuzzy time series for forecasting stock markets
Expert Systems with Applications: An International Journal
Forecasting stock market based on price trend and variation pattern
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
A generalized method for forecasting based on fuzzy time series
Expert Systems with Applications: An International Journal
Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees
Expert Systems with Applications: An International Journal
Applications of axiomatic fuzzy sets theory on fuzzy time series forecasting
International Journal of Systems, Control and Communications
Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
International Journal of Approximate Reasoning
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Time-series models have been used to make reasonably accurate predictions in the areas of weather forecasting, academic enrolment and stock price etc... We propose a methodology which incorporates trend-weighting into the fuzzy time-series models advanced by S.M. Chen and Hui-Kuang Yu. By using actual trading data of Taiwan Stock Index (TAIEX) and the enrolment data of the University of Alabama, we evaluate the accuracy of our trend-weighted, fuzzy, time-series model by comparing our forecasts with those derived from Chen's and Yu's models. The results indicate that our model surpasses in accuracy those suggested by Chen and Yu.