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
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Multi-attribute fuzzy time series method based on fuzzy clustering
Expert Systems with Applications: An International Journal
An efficient time series forecasting model based on fuzzy time series
Engineering Applications of Artificial Intelligence
Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
International Journal of Approximate Reasoning
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Traditional time series methods fail to forecast the problems with linguistic historical data. An alternative forecasting method such as fuzzy time series is needed to deal with these kinds of problems. This study proposes a fuzzy time series method based on trend variations. In experiments and comparisons, the enrollment at the University of Alabama is adopted to illustrate and verify the proposed method, respectively. This paper utilizes the tracking signal to compares the forecasting accuracy of proposed model with other methods, and the comparison results show that the proposed method has better performance than other methods.