A new approach for determining the length of intervals for fuzzy time series. - Ufuk Yolcu; Erol Egrioglu; Vedide R. Uslu; Murat Alper Basaran; Çagdas Hakan Aladag (Appl. Soft Comput., 2009)

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. - Çagdas Hakan Aladag; Murat Alper Basaran; Erol Egrioglu; Ufuk Yolcu; Vedide R. Uslu (Expert Syst. Appl., 2009)

A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. - Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu; Murat Alper Basaran; Vedide R. Uslu (Expert Syst. Appl., 2009)

A new approach based on artificial neural networks for high order multivariate fuzzy time series. - Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu; Vedide R. Uslu; Murat Alper Basaran (Expert Syst. Appl., 2009)

Finding an optimal interval length in high order fuzzy time series. - Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu; Vedide R. Uslu; Murat Alper Basaran (Expert Syst. Appl., 2010)

A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks. - Çagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu (Math. Comput. Simul., 2010)

Forecast Combination by Using Artificial Neural Networks. - Çagdas Hakan Aladag; Erol Egrioglu; Ufuk Yolcu (Neural Process. Lett., 2010)

Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. - Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu; Vedide R. Uslu; N. Alp Erilli (Expert Syst. Appl., 2011)

Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks. - N. Alp Erilli; Ufuk Yolcu; Erol Egrioglu; Çagdas Hakan Aladag; Yüksel Öner (Expert Syst. Appl., 2011)

A new approach based on the optimization of the length of intervals in fuzzy time series. - Erol Egrioglu; Çagdas Hakan Aladag; Murat Alper Basaran; Ufuk Yolcu; Vedide R. Uslu (J. Intell. Fuzzy Syst., 2011)

A new time invariant fuzzy time series forecasting method based on particle swarm optimization. - Çagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu; Ali Zafer Dalar (Appl. Soft Comput., 2012)

A new linear & nonlinear artificial neural network model for time series forecasting. - Ufuk Yolcu; Erol Egrioglu; Çagdas Hakan Aladag (Decis. Support Syst., 2013)

Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks. - Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu (Expert Syst. Appl., 2013)

A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. - Çagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu (Neural Process. Lett., 2013)

A modified genetic algorithm for forecasting fuzzy time series. - Eren Bas; Vedide Rezan Uslu; Ufuk Yolcu; Erol Egrioglu (Appl. Intell., 2014)

Fuzzy lagged variable selection in fuzzy time series with genetic algorithms. - Çagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu; Eren Bas (Appl. Soft Comput., 2014)

A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. - Çagdas Hakan Aladag; Erol Egrioglu; Ufuk Yolcu; Vedide R. Uslu (J. Intell. Fuzzy Syst., 2014)

An enhanced fuzzy time series forecasting method based on artificial bee colony. - Ufuk Yolcu; Ozge Cagcag; Çagdas Hakan Aladag; Erol Egrioglu (J. Intell. Fuzzy Syst., 2014)

Robust multilayer neural network based on median neuron model. - Çagdas Hakan Aladag; Erol Egrioglu; Ufuk Yolcu (Neural Comput. Appl., 2014)

A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations. - Vedide Rezan Uslu; Eren Bas; Ufuk Yolcu; Erol Egrioglu (Swarm Evol. Comput., 2014)

Fuzzy-time-series network used to forecast linear and nonlinear time series. - Eren Bas; Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu (Appl. Intell., 2015)

Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting. - Erol Egrioglu; Ufuk Yolcu; Çagdas Hakan Aladag; Eren Bas (Neural Process. Lett., 2015)

An ensemble of single multiplicative neuron models for probabilistic prediction. - Ufuk Yolcu; Yaochu Jin; Erol Egrioglu (SSCI, 2016)

Type-1 fuzzy time series function method based on binary particle swarm optimisation. - Çagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu; Ismail Burhan Türksen (Int. J. Data Anal. Tech. Strateg., 2016)

Multiplicative neuron model artificial neural network based on Gaussian activation function. - Ozge Gundogdu; Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu (Neural Comput. Appl., 2016)

High order fuzzy time series method based on pi-sigma neural network. - Eren Bas; Crina Grosan; Erol Egrioglu; Ufuk Yolcu (Eng. Appl. Artif. Intell., 2018)

An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting. - Esra Akdeniz; Erol Egrioglu; Eren Bas; Ufuk Yolcu (J. Artif. Intell. Soft Comput. Res., 2018)

A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap. - Ufuk Yolcu; Eren Bas; Erol Egrioglu (J. Intell. Fuzzy Syst., 2018)

Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling. - Ozge Cagcag Yolcu; Eren Bas; Erol Egrioglu; Ufuk Yolcu (Neural Process. Lett., 2018)

Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm. - Abdullah Yalçinkaya; Birdal Senoglu; Ufuk Yolcu (Swarm Evol. Comput., 2018)

Intuitionistic time series fuzzy inference system. - Erol Egrioglu; Eren Bas; Ozge Cagcag Yolcu; Ufuk Yolcu (Eng. Appl. Artif. Intell., 2019)

Median-Pi artificial neural network for forecasting. - Erol Egrioglu; Ufuk Yolcu; Eren Bas; Ali Zafer Dalar (Neural Comput. Appl., 2019)

Picture fuzzy time series: Defining, modeling and creating a new forecasting method. - Erol Egrioglu; Eren Bas; Ufuk Yolcu; Mu-Yen Chen (Eng. Appl. Artif. Intell., 2020)

Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm. - Eren Bas; Ufuk Yolcu; Erol Egrioglu (J. Comput. Appl. Math., 2020)

A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction. - Ozge Cagcag Yolcu; Eren Bas; Erol Egrioglu; Ufuk Yolcu (Soft Comput., 2020)

Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm. - Abdullah Yalçinkaya; Ufuk Yolcu; Birdal Senoglu (Expert Syst. Appl., 2021)

Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network. - Ufuk Yolcu; Erol Egrioglu; Eren Bas; Ozge Cagcag Yolcu; Ali Zafer Dalar (J. Exp. Theor. Artif. Intell., 2021)

An adaptive forecast combination approach based on meta intuitionistic fuzzy functions. - Nihat Tak; Erol Egrioglu; Eren Bas; Ufuk Yolcu (J. Intell. Fuzzy Syst., 2021)

Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan. - Ozge Cagcag Yolcu; Erol Egrioglu; Eren Bas; Ufuk Yolcu (Appl. Soft Comput., 2022)

A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks. - Eren Bas; Erol Egrioglu; Ufuk Yolcu; Mu-Yen Chen (Big Data, 2023)

A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series. - Ozge Cagcag Yolcu; Ufuk Yolcu (Expert Syst. Appl., 2023)

A robust training of dendritic neuron model neural network for time series prediction. - Ayse Yilmaz; Ufuk Yolcu (Neural Comput. Appl., 2023)

A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM. - Ozge Cagcag Yolcu; Ufuk Yolcu (Inf. Sci., 2024)

Short-term load forecasting: cascade intuitionistic fuzzy time series - univariate and bivariate models. - Ozge Cagcag Yolcu; Hak-Keung Lam; Ufuk Yolcu (Neural Comput. Appl., 2024)