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2020 – today
- 2021
[j8]Majd Kharfan, Vicky Wing Kei Chan, Tugba Firdolas Efendigil
:
A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches. Ann. Oper. Res. 303(1): 159-174 (2021)
2010 – 2019
- 2014
- [j7]Tugba Efendigil:
Modelling Product Returns in a Closed-Loop Supply Chain Under Uncertainties: A Neuro Fuzzy Approach. J. Multiple Valued Log. Soft Comput. 23(3-4): 407-426 (2014) - 2012
- [j6]Tugba Efendigil, Semih Önüt:
An integration methodology based on fuzzy inference systems and neural approaches for multi-stage supply-chains. Comput. Ind. Eng. 62(2): 554-569 (2012) - 2010
- [j5]Semih Önüt, Tugba Efendigil, Selin Soner Kara:
A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey. Expert Syst. Appl. 37(3): 1973-1980 (2010) - [j4]Semih Önüt, Tugba Efendigil:
A theorical model design for ERP software selection process under the constraints of cost and quality: A fuzzy approach. J. Intell. Fuzzy Syst. 21(6): 365-378 (2010)
2000 – 2009
- 2009
- [j3]Tugba Efendigil, Semih Önüt, Cengiz Kahraman:
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis. Expert Syst. Appl. 36(3): 6697-6707 (2009) - 2008
- [j2]Tugba Efendigil, Semih Önüt, Elif Kongar:
A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness. Comput. Ind. Eng. 54(2): 269-287 (2008) - [j1]Semih Önüt, Selin Soner Kara, Tugba Efendigil:
A hybrid fuzzy MCDM approach to machine tool selection. J. Intell. Manuf. 19(4): 443-453 (2008)
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