Erkan Celik

Dr. Erkan Celik

Department of Transportation and Logistics, Istanbul University, Istanbul 34322, Turkey
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2016 in Applied Soft Computing
Verified
Journal Article
Closed access
Muhammet GulMuhammet Gul
Muhammet Gul
Erkan CelikErkan Celik
Erkan Celik
NANezir Aydin​
Nezir Aydin​
AGAlev Taskin Gumus​
Alev Taskin Gumus​
AGAli Fuat Guneri​
Ali Fuat Guneri​

1 September 2015 in Knowledge-Based Systems
Verified
Journal Article
Closed access
Erkan CelikErkan Celik
Erkan Celik
Muhammet GulMuhammet Gul
Muhammet Gul
NANezir Aydin
Nezir Aydin
AGAlev Taskin Gumus
Alev Taskin Gumus
AGAli Fuat Guneri
Ali Fuat Guneri

1 November 2015 in Journal of Loss Prevention in the Process Industries
Verified
Journal Article
Closed access
EAEmre Akyuz
Emre Akyuz
Erkan CelikErkan Celik
Erkan Celik

1 November 2013 in Transportation Research Part E: Logistics and Transportation Review
Verified
Journal Article
Closed access
Erkan CelikErkan Celik
Erkan Celik
OBOzge Nalan Bilisik
Ozge Nalan Bilisik
MEMelike Erdogan
Melike Erdogan
AGAlev Taskin Gumus
Alev Taskin Gumus
HBHayri Baracli
Hayri Baracli


20 June 2013 in Energies
Verified
Journal Article
Open access
PDF file
Alev TaskinAlev Taskin
Alev Taskin
AYA. Yesim Yayla
A. Yesim Yayla
Erkan CelikErkan Celik
Erkan Celik
AYAytac Yildiz
Aytac Yildiz
In this paper, we aim to select the most appropriate Hydrogen Energy Storage (HES) method for Turkey from among the alternatives of tank, metal hydride and chemical storage, which are determined based on expert opinions and literature review. Thus, we propose a Buckley extension based fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and linear normalization based fuzzy Grey Relational Analysis (Fuzzy-GRA) combined Multi Criteria Decision Making (MCDM) methodology. This combined approach can be applied to a complex decision process, which often makes sense with subjective data or vague information; and used to solve to solve HES selection problem with different defuzzification methods. The proposed approach is unique both in the HES literature and the MCDM literature.