22. Tak N., Egrioglu E., Bas E., Yolcu U., An adaptive forecast combination approach based on meta intuitionistic fuzzy functions, Journal of Intelligent & Fuzzy Systems, 2021
21. Yıldırım A., Bas E., Egrioglu E., Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting, Journal of Applied Statistics, 2021
20. Yılmaz O., Bas E., Egrioglu E., The training of Pi-Sigma artificial neural networks with differential evolution algorithm for forecasting, Computational Economics, 2021
19. Kocak C., Egrioglu E., Bas E., A new deep intuitionistic fuzzy time series forecasting method based on long short‑term memory, The Journal of Supercomputing, 2021
18. Bas E., Egrioglu E., Yolcu U., A hybrid algorithm based on artificial bat and backpropagation algorithms for multiplicative neuron model artificial neural networks, Journal of Ambient Intelligence and Humanized Computing, 2020. (Early Access)
17. Bas E., Yolcu U., Egrioglu E., Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm, Journal of Computational and Applied Mathematics, 2020. (Early Access)
16. Egrioglu E., Bas E., Yolcu U., Chen M.Y., Picture fuzzy time series: Defining, modeling and creating a new forecasting method, Engineering Applications of Artificial Intelligence, 88, 103367, 2020
15. Kocak C., Dalar A.Z., Cagcag Yolcu O., Bas E., Egrioglu E., A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network, Soft Computing, 24: 8243–8252, 2020.
14. Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction, Soft Computing, 24:8211-8222, 2020.
13. Yolcu U., Egrioglu E., Bas E., Cagcag Yolcu O., Dalar A.Z., Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network, Journal of Experimental & Theoretical Artificial Intelligence, 1-22, 2019.
12. Yolcu U., Egrioglu E., Bas E., Cagcag Yolcu O., Intuitionistic time series fuzzy inference system, Engineering Applications of Artificial Intelligence, 82, 175-183, 2019.
11. Yolcu U., Egrioglu E., Bas E., Dalar A.Z. Median-Pi artificial neural network for forecasting, Neural Computing and Applications, 31(1): 307-316, 2019.
10. Bas E., Grosan C., Egrioglu E., Yolcu U., High order fuzzy time series method based on Pi-Sigma neural network, Engineering Applications of Artificial Intelligence, 72, 350–356, 2018.
9. Yolcu U., Bas E., Egrioglu E., A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap, Journal of Intelligent and Fuzzy Systems, 35(2): 2349-2358, 2018.
8. Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., Single multiplicative neuron model artificial neural network with autoregressive coefficient for time series modelling, Neural Processing Letters, 47(3): 1133-1147, 2018.
7. Bas E., Uslu V.R., Egrioglu E., Robust learning algorithm for multiplicative neuron model artificial neural networks, Expert Systems With Applications, 56: 80-88, 2016.
6. Yolcu U., Bas E., Egrioglu E., Aladag C.H., A new multilayer feed forward network model based On Trimmed mean neuron model, Neural Network World, 25(6): 587-602, 2015.
5. Bas E., Egrioglu E., Aladag C.H., Yolcu U., Fuzzy-time-series network used to forecast linear and nonlinear time series, Applied Intelligence, 43: 343–355, 2015.
4. Egrioglu E., Yolcu U., Aladag C.H., Bas E., Recurrent multiplicative neuron model artificial neural network for non-linear time series forecasting, Neural Processing Letters, 41: 249-258, 2015.
3. Uslu V.R., Bas E., Yolcu U., Egrioglu E., A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations, Swarm And Evolutionary Computation, 15: 19–26, 2014.
2. Aladag C.H., Yolcu U., Egrioglu E., Bas, E., 2014, Fuzzy lagged variable selection in fuzzy time series with genetic algorithms, Applied Soft Computing, 22, 465-473, 2014.
1. Bas E., Uslu V.R., Yolcu U., Egrioglu E., A modified genetic algorithm for fuzzy time series to find the optimal interval lengths, Applied Intelligence, 41(2), 453-463, 2014.