Okan Duru

Orcid: 0000-0001-7966-0025

According to our database1, Okan Duru authored at least 19 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Predictability of the Physical Shipping Market by Freight Derivatives.
IEEE Trans. Engineering Management, 2023

2022
A multi-method forecasting algorithm: Linear unbiased estimation of combine forecast.
Knowl. Based Syst., 2022

Newbuilding ship price forecasting by parsimonious intelligent model search engine.
Expert Syst. Appl., 2022

2021
System Dynamics in the Predictive Analytics of Container Freight Rates.
Transp. Sci., 2021

High-dimensional lag structure optimization of fuzzy time series.
Expert Syst. Appl., 2021

Time series forecasting based on echo state network and empirical wavelet transformation.
Appl. Soft Comput., 2021

2020
Parsimonious fuzzy time series modelling.
Expert Syst. Appl., 2020

2018
Computational Intelligence in Finance and Economics [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

Combinations in predictive analytics by using machine learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Governing Dynamics of Crude Oil and LNG Prices.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

2016
Stationarity control in the fuzzy time series and neural network algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014
A non-linear clustering method for fuzzy time series: Histogram damping partition under the optimized cluster paradox.
Appl. Soft Comput., 2014

2012
Regime switching fuzzy AHP model for choice-varying priorities problem and expert consistency prioritization: A cubic fuzzy-priority matrix design.
Expert Syst. Appl., 2012

A fuzzy extended DELPHI method for adjustment of statistical time series prediction: An empirical study on dry bulk freight market case.
Expert Syst. Appl., 2012

A multivariate model of fuzzy integrated logical forecasting method (M-FILF) and multiplicative time series clustering: A model of time-varying volatility for dry cargo freight market.
Expert Syst. Appl., 2012

Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management.
Expert Syst. Appl., 2012

Modeling principles in fuzzy time series forecasting.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

Exponential length of intervals for fuzzy time series forecasting.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2010
A fuzzy integrated logical forecasting model for dry bulk shipping index forecasting: An improved fuzzy time series approach.
Expert Syst. Appl., 2010


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