Logistics performance evaluation using analytical neural network and cumulative belief degrees

Özgür Kabak; Füsun Ülengin; Şule Önsel Ekici

doi:10.1142/9789814619998_0113

Logistics performance evaluation using analytical neural network and cumulative belief degrees

Özgür Kabak, Füsun Ülengin, Şule Önsel Ekici

Endüstri Mühendisliği Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

Logistics plays a vital role in the economies. One of the attempt to measure logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. In fact this study argues that there is a close relationship between global competitiveness level of a country and its logistics performance level. On this way, it aims to analyze the logistics competitiveness of a country from a national competitiveness perspective using an analytical neural network and cumulative belief degrees approach. LPI and World Economic Forum’s competitiveness pillars are used for this purpose. The methodology is used to analyze the Turkey’s logistics performance in order to develop suggestions for improving its current level.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014
Editörler	Ronei Marcos de Moraes, Etienne E. Kerre, Liliane dos Santos Machado, Jie Lu
Yayınlayan	World Scientific Publishing Co. Pte Ltd
Sayfalar	688-693
Sayfa sayısı	6
ISBN (Elektronik)	9789814619967
DOI'lar	https://doi.org/10.1142/9789814619998_0113
Yayın durumu	Yayınlandı - 2014
Etkinlik	Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014 - Joao Pessoa, Paraiba, Brazil Süre: 17 Ağu 2014 → 20 Ağu 2014

Yayın serisi

Adı	Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

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???event.eventtypes.event.conference???	Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014
Ülke/Bölge	Brazil
Şehir	Joao Pessoa, Paraiba
Periyot	17/08/14 → 20/08/14

Bibliyografik not

Publisher Copyright:
© 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.

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Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1142/9789814619998_0113

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kabak, Ö., Ülengin, F., & Ekici, Ş. Ö. (2014). Logistics performance evaluation using analytical neural network and cumulative belief degrees. In R. M. de Moraes, E. E. Kerre, L. dos Santos Machado, & J. Lu (Eds.), Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014 (pp. 688-693). (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789814619998_0113

Kabak, Özgür ; Ülengin, Füsun ; Ekici, Şule Önsel. / Logistics performance evaluation using analytical neural network and cumulative belief degrees. Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. editör / Ronei Marcos de Moraes ; Etienne E. Kerre ; Liliane dos Santos Machado ; Jie Lu. World Scientific Publishing Co. Pte Ltd, 2014. pp. 688-693 (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014).

@inproceedings{9e8ac082c3c344d78a67f63b8d0fcc1b,

title = "Logistics performance evaluation using analytical neural network and cumulative belief degrees",

abstract = "Logistics plays a vital role in the economies. One of the attempt to measure logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. In fact this study argues that there is a close relationship between global competitiveness level of a country and its logistics performance level. On this way, it aims to analyze the logistics competitiveness of a country from a national competitiveness perspective using an analytical neural network and cumulative belief degrees approach. LPI and World Economic Forum{\textquoteright}s competitiveness pillars are used for this purpose. The methodology is used to analyze the Turkey{\textquoteright}s logistics performance in order to develop suggestions for improving its current level.",

author = "{\"O}zg{\"u}r Kabak and F{\"u}sun {\"U}lengin and Ekici, {{\c S}ule {\"O}nsel}",

note = "Publisher Copyright: {\textcopyright} 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.; Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014 ; Conference date: 17-08-2014 Through 20-08-2014",

year = "2014",

doi = "10.1142/9789814619998_0113",

language = "English",

series = "Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014",

publisher = "World Scientific Publishing Co. Pte Ltd",

pages = "688--693",

editor = "{de Moraes}, {Ronei Marcos} and Kerre, {Etienne E.} and {dos Santos Machado}, Liliane and Jie Lu",

booktitle = "Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014",

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Kabak, Ö, Ülengin, F & Ekici, ŞÖ 2014, Logistics performance evaluation using analytical neural network and cumulative belief degrees. in RM de Moraes, EE Kerre, L dos Santos Machado & J Lu (eds), Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014, World Scientific Publishing Co. Pte Ltd, pp. 688-693, Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014, Joao Pessoa, Paraiba, Brazil, 17/08/14. https://doi.org/10.1142/9789814619998_0113

Logistics performance evaluation using analytical neural network and cumulative belief degrees. / Kabak, Özgür; Ülengin, Füsun; Ekici, Şule Önsel.
Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. ed. / Ronei Marcos de Moraes; Etienne E. Kerre; Liliane dos Santos Machado; Jie Lu. World Scientific Publishing Co. Pte Ltd, 2014. p. 688-693 (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Logistics performance evaluation using analytical neural network and cumulative belief degrees

AU - Kabak, Özgür

AU - Ülengin, Füsun

AU - Ekici, Şule Önsel

PY - 2014

Y1 - 2014

N2 - Logistics plays a vital role in the economies. One of the attempt to measure logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. In fact this study argues that there is a close relationship between global competitiveness level of a country and its logistics performance level. On this way, it aims to analyze the logistics competitiveness of a country from a national competitiveness perspective using an analytical neural network and cumulative belief degrees approach. LPI and World Economic Forum’s competitiveness pillars are used for this purpose. The methodology is used to analyze the Turkey’s logistics performance in order to develop suggestions for improving its current level.

AB - Logistics plays a vital role in the economies. One of the attempt to measure logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. In fact this study argues that there is a close relationship between global competitiveness level of a country and its logistics performance level. On this way, it aims to analyze the logistics competitiveness of a country from a national competitiveness perspective using an analytical neural network and cumulative belief degrees approach. LPI and World Economic Forum’s competitiveness pillars are used for this purpose. The methodology is used to analyze the Turkey’s logistics performance in order to develop suggestions for improving its current level.

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AN - SCOPUS:85037374702

T3 - Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

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EP - 693

BT - Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

A2 - de Moraes, Ronei Marcos

A2 - Kerre, Etienne E.

A2 - dos Santos Machado, Liliane

A2 - Lu, Jie

PB - World Scientific Publishing Co. Pte Ltd

T2 - Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014

Y2 - 17 August 2014 through 20 August 2014

ER -

Kabak Ö, Ülengin F, Ekici ŞÖ. Logistics performance evaluation using analytical neural network and cumulative belief degrees. In de Moraes RM, Kerre EE, dos Santos Machado L, Lu J, editörler, Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. World Scientific Publishing Co. Pte Ltd. 2014. p. 688-693. (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014). doi: 10.1142/9789814619998_0113

Logistics performance evaluation using analytical neural network and cumulative belief degrees

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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