Analysis of relation between human development and competitiveness using fuzzy ANP and DEA

Hakan Kılıç; Özgür Kabak

doi:10.1007/978-3-030-23756-1_103

Analysis of relation between human development and competitiveness using fuzzy ANP and DEA

Hakan Kılıç^*, Özgür Kabak

^*Corresponding author for this work

Department of Industrial Engineering

Koc University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This study analyses the bilateral relation between human development and competitiveness. Using fuzzy Analytical Network Process (FANP), a composite index is developed based on the relative importance weights of the drivers of human development and competitiveness. Additionally, Data Envelopment Analysis (DEA) is employed to compute the countries’ efficiencies on converting their human development to competitiveness and inversely, competitiveness to human development. 45 countries are evaluated using the proposed methods. Finally, the results are compared to reveal the relationship.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Publisher	Springer Verlag
Pages	859-866
Number of pages	8
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_103
Publication status	Published - 2020
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1029
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/Territory	Turkey
City	Istanbul
Period	23/07/19 → 25/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Funding

This study is supported by İstanbul Technical University, BAP. Project ID: 40636.

Funders	Funder number
Istanbul Teknik Üniversitesi	40636

Keywords

Competitiveness of nations
Data envelopment analysis
Fuzzy analytic network process
Human development

Access to Document

10.1007/978-3-030-23756-1_103

Cite this

Kılıç, H., & Kabak, Ö. (2020). Analysis of relation between human development and competitiveness using fuzzy ANP and DEA. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 859-866). (Advances in Intelligent Systems and Computing; Vol. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_103

Kılıç, Hakan ; Kabak, Özgür. / Analysis of relation between human development and competitiveness using fuzzy ANP and DEA. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 859-866 (Advances in Intelligent Systems and Computing).

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title = "Analysis of relation between human development and competitiveness using fuzzy ANP and DEA",

abstract = "This study analyses the bilateral relation between human development and competitiveness. Using fuzzy Analytical Network Process (FANP), a composite index is developed based on the relative importance weights of the drivers of human development and competitiveness. Additionally, Data Envelopment Analysis (DEA) is employed to compute the countries{\textquoteright} efficiencies on converting their human development to competitiveness and inversely, competitiveness to human development. 45 countries are evaluated using the proposed methods. Finally, the results are compared to reveal the relationship.",

keywords = "Competitiveness of nations, Data envelopment analysis, Fuzzy analytic network process, Human development",

author = "Hakan Kılı{\c c} and {\"O}zg{\"u}r Kabak",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1\_103",

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Kılıç, H & Kabak, Ö 2020, Analysis of relation between human development and competitiveness using fuzzy ANP and DEA. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, vol. 1029, Springer Verlag, pp. 859-866, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_103

Analysis of relation between human development and competitiveness using fuzzy ANP and DEA. / Kılıç, Hakan; Kabak, Özgür.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 859-866 (Advances in Intelligent Systems and Computing; Vol. 1029).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of relation between human development and competitiveness using fuzzy ANP and DEA

AU - Kılıç, Hakan

AU - Kabak, Özgür

PY - 2020

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N2 - This study analyses the bilateral relation between human development and competitiveness. Using fuzzy Analytical Network Process (FANP), a composite index is developed based on the relative importance weights of the drivers of human development and competitiveness. Additionally, Data Envelopment Analysis (DEA) is employed to compute the countries’ efficiencies on converting their human development to competitiveness and inversely, competitiveness to human development. 45 countries are evaluated using the proposed methods. Finally, the results are compared to reveal the relationship.

AB - This study analyses the bilateral relation between human development and competitiveness. Using fuzzy Analytical Network Process (FANP), a composite index is developed based on the relative importance weights of the drivers of human development and competitiveness. Additionally, Data Envelopment Analysis (DEA) is employed to compute the countries’ efficiencies on converting their human development to competitiveness and inversely, competitiveness to human development. 45 countries are evaluated using the proposed methods. Finally, the results are compared to reveal the relationship.

KW - Competitiveness of nations

KW - Data envelopment analysis

KW - Fuzzy analytic network process

KW - Human development

UR - https://www.scopus.com/pages/publications/85069490301

U2 - 10.1007/978-3-030-23756-1_103

DO - 10.1007/978-3-030-23756-1_103

M3 - Conference contribution

AN - SCOPUS:85069490301

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 859

EP - 866

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

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Kılıç H, Kabak Ö. Analysis of relation between human development and competitiveness using fuzzy ANP and DEA. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 859-866. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_103

Analysis of relation between human development and competitiveness using fuzzy ANP and DEA

Abstract

Publication series

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Bibliographical note

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Keywords

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