Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
An investigation of the use of feedforward neural networks for forecasting
An investigation of the use of feedforward neural networks for forecasting
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
Fuzzy Sets and Systems
Handling forecasting problems using fuzzy time series
Fuzzy Sets and Systems
Neural networks in business: techniques and applications for the operations researcher
Computers and Operations Research - Neural networks in business
A bibliography of neural network business applications research: 1994–1998
Computers and Operations Research - Neural networks in business
Fuzzy ARIMA model for forecasting the foreign exchange market
Fuzzy Sets and Systems
Fuzzy regression model with fuzzy input and output data for manpower forecasting
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Computers and Operations Research - Special issue: Emerging economics
A note on fuzzy regression model with fuzzy input and output data for manpower forecasting
Fuzzy Sets and Systems - Theme: Learning and modeling
A hybrid genetic-neural architecture for stock indexes forecasting
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Forecasting enrollments using high-order fuzzy time series and genetic algorithms: Research Articles
International Journal of Intelligent Systems
Pattern Discovery of Fuzzy Time Series for Financial Prediction
IEEE Transactions on Knowledge and Data Engineering
Optimizing feedforward artificial neural network architecture
Engineering Applications of Artificial Intelligence
Temperature prediction using fuzzy time series
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Sciences: an International Journal
An artificial neural network (p,d,q) model for timeseries forecasting
Expert Systems with Applications: An International Journal
Regression application based on fuzzy ν-support vector machine in symmetric triangular fuzzy space
Expert Systems with Applications: An International Journal
Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
CO$^2$RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
On an ant colony-based approach for business fraud detection
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
A class of fuzzy clusterwise regression models
Information Sciences: an International Journal
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Expert Systems with Applications: An International Journal
A new hybrid methodology for nonlinear time series forecasting
Modelling and Simulation in Engineering
A new class of hybrid models for time series forecasting
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy intelligent approach to the classification problem in gene expression data analysis
Knowledge-Based Systems
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
New robust forecasting models for exchange rates prediction
Expert Systems with Applications: An International Journal
Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting
Engineering Applications of Artificial Intelligence
A hybrid fuzzy intelligent agent-based system for stock price prediction
International Journal of Intelligent Systems
International Journal of Decision Support System Technology
Fuzzy artificial neural network p, d, q model for incomplete financial time series forecasting
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Quantitative methods have nowadays become very important tools for forecasting purposes in financial markets as for improved decisions and investments. Forecasting accuracy is one of the most important factors involved in selecting a forecasting method; hence, never has research directed at improving upon the effectiveness of time series models stopped. Artificial neural networks (ANNs) are flexible computing frameworks and universal approximators that can be applied to a wide range of forecasting problems with a high degree of accuracy. However, ANNs need a large amount of historical data in order to yield accurate results. In a real world situation and in financial markets specifically, the environment is full of uncertainties and changes occur rapidly; thus, future situations must be usually forecasted using the scant data made available over a short span of time. Therefore, forecasting in these situations requires methods that work efficiently with incomplete data. Although fuzzy forecasting methods are suitable for incomplete data situations, their performance is not always satisfactory. In this paper, based on the basic concepts of ANNs and fuzzy regression models, a new hybrid method is proposed that yields more accurate results with incomplete data sets. In our proposed model, the advantages of ANNs and fuzzy regression are combined to overcome the limitations in both ANNs and fuzzy regression models. The empirical results of financial market forecasting indicate that the proposed model can be an effective way of improving forecasting accuracy.