Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Evaluation of fuzzy linear regression models
Fuzzy Sets and Systems
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
Fuzzy ARIMA model for forecasting the foreign exchange market
Fuzzy Sets and Systems
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Fuzzy linear regression analysis from the point of view risk
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Forecasting the turning time of stock market based on Markov-Fourier grey model
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
A decision support system methodology for forecasting of time series based on soft computing
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
A neural network-based fuzzy time series model to improve forecasting
Expert Systems with Applications: An International Journal
Evaluation of fuzzy regression models by fuzzy neural network
Journal of Computational and Applied Mathematics
Pattern Recognition and Image Analysis
Forecasting TAIEX using improved type 2 fuzzy time series
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 logistic regression based on the least squares approach with application in clinical studies
Computers & Mathematics with Applications
Fuzzy forecasting with DNA computing
DNA'06 Proceedings of the 12th international conference on DNA Computing
Revenue forecasting using a least-squares support vector regression model in a fuzzy environment
Information Sciences: an International Journal
Modeling seasonality using the fuzzy integrated logical forecasting (FILF) approach
Expert Systems with Applications: An International Journal
A unified approach to asymptotic behaviors for the autoregressive model with fuzzy data
Information Sciences: an International Journal
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This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy regression model. It is used to forecast two seasonal time series data of the total production value of the Taiwan machinery industry and the soft drink time series. The intention of this paper is to provide business which are affected by diversified management with a new method to conduct short-term forecasting. This model includes both interval models with interval parameters and the possible distribution of future value. Based on the results of practical application, it can be shown that this model makes good forecasts and is realistic. Furthermore, this model makes it possible for decision makers to forecast the best and worst estimates based on fewer observations than the SARIMA model.