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
A computational method of forecasting based on high-order fuzzy time series
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
Expert Systems with Applications: An International Journal
Partitions based computational method for high-order fuzzy time series forecasting
Expert Systems with Applications: An International Journal
An efficient time series forecasting model based on fuzzy time series
Engineering Applications of Artificial Intelligence
Two new time-variant methods for fuzzy time series forecasting
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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One of the major drawbacks of the existing fuzzy time series forecasting models is the fact that they only provide a single-point forecasted value just like the output of the traditional time series methods. Hence, they cannot provide a decision analyst more useful information. The aim of this present research is to design an improved fuzzy time series forecasting method in which the forecasted value will be a trapezoidal fuzzy number instead of a single-point value. Furthermore, the proposed method may also increase the forecasting accuracy. Two numerical data sets were used to illustrate the proposed method and compare the forecasting accuracy with three fuzzy time series methods. The results of the comparison indicate that the proposed method can generate forecasting values that are more accurate.