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Çağdaş Hakan Aladağ · Study

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Çağdaş Hakan Aladağ

19 works· latest 2016· 1 institutionscluster: provisionalORCID 0000-0002-3953-7601

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i1019

Citations1,884

Works here19

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Most cited in this library

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations2008 · 182 citations
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks2012 · 170 citations
Forecasting nonlinear time series with a hybrid methodology2009 · 155 citations
A new time invariant fuzzy time series forecasting method based on particle swarm optimization2012 · 138 citations
A new linear & nonlinear artificial neural network model for time series forecasting2012 · 133 citations

Works

19 shown

High order fuzzy time series forecasting method based on an intersection operation

Applied Mathematical Modelling·2016·4 authors·Open access

61citations

Fuzzy-time-series network used to forecast linear and nonlinear time series

Applied Intelligence·2015·4 authors·Open access

64citations

Fuzzy lagged variable selection in fuzzy time series with genetic algorithms

Applied Soft Computing·2014·4 authors

35citations

A new linear & nonlinear artificial neural network model for time series forecasting

Decision Support Systems·2012·3 authors

133citations

A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization

Neural Processing Letters·2012·3 authors

35citations

Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks

Expert Systems with Applications·2012·3 authors

170citations

Using multiplicative neuron model to establish fuzzy logic relationships

Expert Systems with Applications·2012·1 author

84citations

A new time invariant fuzzy time series forecasting method based on particle swarm optimization

Applied Soft Computing·2012·4 authors

138citations

Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market

Journal of Statistical Computation and Simulation·2011·4 authors

55citations

Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering

Expert Systems with Applications·2011·5 authors

97citations

Forecast Combination by Using Artificial Neural Networks

Neural Processing Letters·2010·3 authors

40citations

A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks

Mathematics and Computers in Simulation·2010·3 authors

98citations

Finding an optimal interval length in high order fuzzy time series

Expert Systems with Applications·2009·5 authors

114citations

The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem

Expert Systems with Applications·2009·3 authors

66citations

Forecasting nonlinear time series with a hybrid methodology

Applied Mathematics Letters·2009·3 authors·Open access

155citations

A new approach based on artificial neural networks for high order multivariate fuzzy time series

Expert Systems with Applications·2009·5 authors

127citations

A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

Expert Systems with Applications·2008·5 authors

97citations

A new approach for determining the length of intervals for fuzzy time series

Applied Soft Computing·2008·5 authors

133citations

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

Expert Systems with Applications·2008·5 authors

182citations