Ufuk Yolcu - RankMe

45 papers Journal 44Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IFAGGING: Semantically weighted intuitionistic fuzzy aggregation for interpretable cascaded forecasting. Inf. Sci. Asiye Zuhal Baltaci, Ozge Cagcag Yolcu, Ufuk Yolcu
2024	J	`jnl`	A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM. Inf. Sci. Ozge Cagcag Yolcu, Ufuk Yolcu
2024	J	`jnl`	Short-term load forecasting: cascade intuitionistic fuzzy time series - univariate and bivariate models. Neural Comput. Appl. Ozge Cagcag Yolcu, Hak-Keung Lam, Ufuk Yolcu
2023	J	`jnl`	A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks. Big Data Eren Bas, Erol Egrioglu, Ufuk Yolcu, Mu-Yen Chen
2023	J	`jnl`	A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series. Expert Syst. Appl. Ozge Cagcag Yolcu, Ufuk Yolcu
2023	J	`jnl`	A robust training of dendritic neuron model neural network for time series prediction. Neural Comput. Appl. Ayse Yilmaz, Ufuk Yolcu
2022	J	`jnl`	Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan. Appl. Soft Comput. Ozge Cagcag Yolcu, Erol Egrioglu, Eren Bas, Ufuk Yolcu
2021	J	`jnl`	An adaptive forecast combination approach based on meta intuitionistic fuzzy functions. J. Intell. Fuzzy Syst. Nihat Tak, Erol Egrioglu, Eren Bas, Ufuk Yolcu
2021	J	`jnl`	Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm. Expert Syst. Appl. Abdullah Yalçinkaya, Ufuk Yolcu, Birdal Senoglu
2021	J	`jnl`	Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network. J. Exp. Theor. Artif. Intell. Ufuk Yolcu, Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ali Zafer Dalar
2020	J	`jnl`	A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction. Soft Comput. Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu, Ufuk Yolcu
2020	J	`jnl`	Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm. J. Comput. Appl. Math. Eren Bas, Ufuk Yolcu, Erol Egrioglu
2020	J	`jnl`	Picture fuzzy time series: Defining, modeling and creating a new forecasting method. Eng. Appl. Artif. Intell. Erol Egrioglu, Eren Bas, Ufuk Yolcu, Mu-Yen Chen
2019	J	`jnl`	Intuitionistic time series fuzzy inference system. Eng. Appl. Artif. Intell. Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ufuk Yolcu
2019	J	`jnl`	Median-Pi artificial neural network for forecasting. Neural Comput. Appl. Erol Egrioglu, Ufuk Yolcu, Eren Bas, Ali Zafer Dalar
2018	J	`jnl`	A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap. J. Intell. Fuzzy Syst. Ufuk Yolcu, Eren Bas, Erol Egrioglu
2018	J	`jnl`	An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting. J. Artif. Intell. Soft Comput. Res. Esra Akdeniz, Erol Egrioglu, Eren Bas, Ufuk Yolcu
2018	J	`jnl`	High order fuzzy time series method based on pi-sigma neural network. Eng. Appl. Artif. Intell. Eren Bas, Crina Grosan, Erol Egrioglu, Ufuk Yolcu
2018	J	`jnl`	Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm. Swarm Evol. Comput. Abdullah Yalçinkaya, Birdal Senoglu, Ufuk Yolcu
2018	J	`jnl`	Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling. Neural Process. Lett. Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu, Ufuk Yolcu
2016	—	`conf`	An ensemble of single multiplicative neuron models for probabilistic prediction. SSCI Ufuk Yolcu, Yaochu Jin, Erol Egrioglu
2016	J	`jnl`	Multiplicative neuron model artificial neural network based on Gaussian activation function. Neural Comput. Appl. Ozge Gundogdu, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
2016	J	`jnl`	Type-1 fuzzy time series function method based on binary particle swarm optimisation. Int. J. Data Anal. Tech. Strateg. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ismail Burhan Türksen
2015	J	`jnl`	Fuzzy-time-series network used to forecast linear and nonlinear time series. Appl. Intell. Eren Bas, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
2015	J	`jnl`	Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting. Neural Process. Lett. Erol Egrioglu, Ufuk Yolcu, Çagdas Hakan Aladag, Eren Bas
2014	J	`jnl`	A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations. Swarm Evol. Comput. Vedide Rezan Uslu, Eren Bas, Ufuk Yolcu, Erol Egrioglu
2014	J	`jnl`	A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. J. Intell. Fuzzy Syst. Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu
2014	J	`jnl`	A modified genetic algorithm for forecasting fuzzy time series. Appl. Intell. Eren Bas, Vedide Rezan Uslu, Ufuk Yolcu, Erol Egrioglu
2014	J	`jnl`	An enhanced fuzzy time series forecasting method based on artificial bee colony. J. Intell. Fuzzy Syst. Ufuk Yolcu, Ozge Cagcag, Çagdas Hakan Aladag, Erol Egrioglu
2014	J	`jnl`	Fuzzy lagged variable selection in fuzzy time series with genetic algorithms. Appl. Soft Comput. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Eren Bas
2014	J	`jnl`	Robust multilayer neural network based on median neuron model. Neural Comput. Appl. Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu
2013	J	`jnl`	A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. Neural Process. Lett. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu
2013	J	`jnl`	A new linear & nonlinear artificial neural network model for time series forecasting. Decis. Support Syst. Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag
2013	J	`jnl`	Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
2012	J	`jnl`	A new time invariant fuzzy time series forecasting method based on particle swarm optimization. Appl. Soft Comput. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ali Zafer Dalar
2011	J	`jnl`	A new approach based on the optimization of the length of intervals in fuzzy time series. J. Intell. Fuzzy Syst. Erol Egrioglu, Çagdas Hakan Aladag, Murat Alper Basaran, Ufuk Yolcu, Vedide R. Uslu
2011	J	`jnl`	Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks. Expert Syst. Appl. N. Alp Erilli, Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag, Yüksel Öner
2011	J	`jnl`	Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, N. Alp Erilli
2010	J	`jnl`	A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks. Math. Comput. Simul. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu
2010	J	`jnl`	Finding an optimal interval length in high order fuzzy time series. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran
2010	J	`jnl`	Forecast Combination by Using Artificial Neural Networks. Neural Process. Lett. Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu
2009	J	`jnl`	A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran
2009	J	`jnl`	A new approach for determining the length of intervals for fuzzy time series. Appl. Soft Comput. Ufuk Yolcu, Erol Egrioglu, Vedide R. Uslu, Murat Alper Basaran, Çagdas Hakan Aladag
2009	J	`jnl`	A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Murat Alper Basaran, Vedide R. Uslu
2009	J	`jnl`	Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst. Appl. Çagdas Hakan Aladag, Murat Alper Basaran, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu