Eren Bas

According to our database1, Eren Bas authored at least 19 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



A new deep intuitionistic fuzzy time series forecasting method based on long short-term memory.
J. Supercomput., 2021

An adaptive forecast combination approach based on meta intuitionistic fuzzy functions.
J. Intell. Fuzzy Syst., 2021

A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction.
Soft Comput., 2020

A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network.
Soft Comput., 2020

Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm.
J. Comput. Appl. Math., 2020

Picture fuzzy time series: Defining, modeling and creating a new forecasting method.
Eng. Appl. Artif. Intell., 2020

Median-Pi artificial neural network for forecasting.
Neural Comput. Appl., 2019

Intuitionistic time series fuzzy inference system.
Eng. Appl. Artif. Intell., 2019

Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling.
Neural Process. Lett., 2018

A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap.
J. Intell. Fuzzy Syst., 2018

An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting.
J. Artif. Intell. Soft Comput. Res., 2018

High order fuzzy time series method based on pi-sigma neural network.
Eng. Appl. Artif. Intell., 2018

The Training Of Multiplicative Neuron Model Based Artificial Neural Networks With Differential Evolution Algorithm For Forecasting.
J. Artif. Intell. Soft Comput. Res., 2016

Robust learning algorithm for multiplicative neuron model artificial neural networks.
Expert Syst. Appl., 2016

Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting.
Neural Process. Lett., 2015

Fuzzy-time-series network used to forecast linear and nonlinear time series.
Appl. Intell., 2015

A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations.
Swarm Evol. Comput., 2014

Fuzzy lagged variable selection in fuzzy time series with genetic algorithms.
Appl. Soft Comput., 2014

A modified genetic algorithm for forecasting fuzzy time series.
Appl. Intell., 2014