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
A comparison of fuzzy forecasting and Markov modeling
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
Neural Networks in Business: Techniques and Applications
Neural Networks in Business: Techniques and Applications
Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
A new approach based on artificial neural networks for high order multivariate fuzzy time series
Expert Systems with Applications: An International Journal
Finding an optimal interval length in high order fuzzy time series
Expert Systems with Applications: An International Journal
An application of fuzzy time series to improve ISE forecasting
WSEAS Transactions on Mathematics
Mathematics and Computers in Simulation
Forecast Combination by Using Artificial Neural Networks
Neural Processing Letters
Adaptive time-variant models for fuzzy-time-series forecasting
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new architecture selection method based on tabu search for artificial neural networks
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
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
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
Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees
Expert Systems with Applications: An International Journal
A new time-invariant fuzzy time series forecasting method based on genetic algorithm
Advances in Fuzzy Systems - Special issue on Fuzzy Function, Relations, and Fuzzy Transforms (2012)
Using multiplicative neuron model to establish fuzzy logic relationships
Expert Systems with Applications: An International Journal
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
High-order fuzzy-neuro expert system for time series forecasting
Knowledge-Based Systems
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
Hi-index | 12.06 |
A given observation in time series does not only depend on preceding one but also previous ones in general. Therefore, high order fuzzy time series approach might obtain better forecasts than does first order fuzzy time series approach. Defining fuzzy relation in high order fuzzy time series approach are more complicated than that in first order fuzzy time series approach. A new proposed approach, which uses feed forward neural networks to define fuzzy relation in high order fuzzy time series, is introduced in this paper. The new proposed approach is applied to well-known enrollment data for the University of Alabama and obtained results are compared with other methods proposed in the literature. It is found that the proposed method produces better forecasts than the other methods.