Multi-attribute fuzzy time series method based on fuzzy clustering
Expert Systems with Applications: An International Journal
A FCM-based deterministic forecasting model for fuzzy time series
Computers & Mathematics with Applications
A computational method of forecasting based on fuzzy time series
Mathematics and Computers in Simulation
Expert Systems with Applications: An International Journal
A new approach for determining the length of intervals for fuzzy time series
Applied Soft Computing
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 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
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A neural network-based fuzzy time series model to improve forecasting
Expert Systems with Applications: An International Journal
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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
Forecasting of ozone concentration using frequency MA-OWA model
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
Expert Systems with Applications: An International Journal
An improved fuzzy forecasting method for seasonal time series
Expert Systems with Applications: An International Journal
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WSEAS Transactions on Mathematics
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
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
A new approach based on the optimization of the length of intervals in fuzzy time series
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A vector forecasting model for fuzzy time series
Applied Soft Computing
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering
Expert Systems with Applications: An International Journal
A generalized method for forecasting based on fuzzy time series
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
Extracting fuzzy relations in fuzzy time series model based on approximation concepts
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
Fuzzy based trend mapping and forecasting for time series data
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
A Critical Evaluation of Computational Methods of Forecasting Based on Fuzzy Time Series
International Journal of Decision Support System Technology
Information Sciences: an International Journal
An efficient time series forecasting model based on fuzzy time series
Engineering Applications of Artificial Intelligence
Determination of temporal information granules to improve forecasting in fuzzy time series
Expert Systems with Applications: An International Journal
A seasonal discrete grey forecasting model for fashion retailing
Knowledge-Based Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The objective of this study is to explore ways of determining the useful lengths of intervals in fuzzy time series. It is suggested that ratios, instead of equal lengths of intervals, can more properly represent the intervals among observations. Ratio-based lengths of intervals are, therefore, proposed to improve fuzzy time series forecasting. Algebraic growth data, such as enrollments and the stock index, and exponential growth data, such as inventory demand, are chosen as the forecasting targets, before forecasting based on the various lengths of intervals is performed. Furthermore, sensitivity analyses are also carried out for various percentiles. The ratio-based lengths of intervals are found to outperform the effective lengths of intervals, as well as the arbitrary ones in regard to the different statistical measures. The empirical analysis suggests that the ratio-based lengths of intervals can also be used to improve fuzzy time series forecasting.