An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges

Ali Karaşan; Eda Bolturk; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_79

An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges

Ali Karaşan^*, Eda Bolturk, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

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

11 Citations (Scopus)

Abstract

Common urban challenges include congestion, lack of funds to provide basic services, a shortage of adequate housing, declining infrastructure and rising air pollution within cities. These issues cause rapid urbanization challenges, such as the safe removal and management of solid waste within cities, can be overcome in ways that allow them to continue to thrive and grow, while improving resource use and reducing pollution and poverty. In this study, we apply an integrated MCDM method consist of AHP and TOPSIS with neutrosophic sets to determine for prioritizing the solution alternatives. These alternatives are gathered by the United Nations to reach its sustainable development goals. We also apply one-at-a-time sensitivity analysis to check the robustness of the given decisions based on the criteria’s weight changes.

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	653-661
Number of pages	9
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_79
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.

Keywords

Decision making
Neutrosophic AHP
Neutrosophic sets
Neutrosophic TOPSIS
Sustainable cities

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-23756-1_79

Cite this

Karaşan, A., Bolturk, E., & Kahraman, C. (2020). An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges. 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. 653-661). (Advances in Intelligent Systems and Computing; Vol. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_79

Karaşan, Ali ; Bolturk, Eda ; Kahraman, Cengiz. / An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges. 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. 653-661 (Advances in Intelligent Systems and Computing).

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abstract = "Common urban challenges include congestion, lack of funds to provide basic services, a shortage of adequate housing, declining infrastructure and rising air pollution within cities. These issues cause rapid urbanization challenges, such as the safe removal and management of solid waste within cities, can be overcome in ways that allow them to continue to thrive and grow, while improving resource use and reducing pollution and poverty. In this study, we apply an integrated MCDM method consist of AHP and TOPSIS with neutrosophic sets to determine for prioritizing the solution alternatives. These alternatives are gathered by the United Nations to reach its sustainable development goals. We also apply one-at-a-time sensitivity analysis to check the robustness of the given decisions based on the criteria{\textquoteright}s weight changes.",

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author = "Ali Kara{\c s}an and Eda Bolturk and Cengiz Kahraman",

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Karaşan, A, Bolturk, E & Kahraman, C 2020, An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges. 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. 653-661, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_79

An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges. / Karaşan, Ali; Bolturk, Eda; Kahraman, Cengiz.
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. 653-661 (Advances in Intelligent Systems and Computing; Vol. 1029).

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

TY - GEN

T1 - An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges

AU - Karaşan, Ali

AU - Bolturk, Eda

AU - Kahraman, Cengiz

PY - 2020

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N2 - Common urban challenges include congestion, lack of funds to provide basic services, a shortage of adequate housing, declining infrastructure and rising air pollution within cities. These issues cause rapid urbanization challenges, such as the safe removal and management of solid waste within cities, can be overcome in ways that allow them to continue to thrive and grow, while improving resource use and reducing pollution and poverty. In this study, we apply an integrated MCDM method consist of AHP and TOPSIS with neutrosophic sets to determine for prioritizing the solution alternatives. These alternatives are gathered by the United Nations to reach its sustainable development goals. We also apply one-at-a-time sensitivity analysis to check the robustness of the given decisions based on the criteria’s weight changes.

AB - Common urban challenges include congestion, lack of funds to provide basic services, a shortage of adequate housing, declining infrastructure and rising air pollution within cities. These issues cause rapid urbanization challenges, such as the safe removal and management of solid waste within cities, can be overcome in ways that allow them to continue to thrive and grow, while improving resource use and reducing pollution and poverty. In this study, we apply an integrated MCDM method consist of AHP and TOPSIS with neutrosophic sets to determine for prioritizing the solution alternatives. These alternatives are gathered by the United Nations to reach its sustainable development goals. We also apply one-at-a-time sensitivity analysis to check the robustness of the given decisions based on the criteria’s weight changes.

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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

ER -

Karaşan A, Bolturk E, Kahraman C. An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges. 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. 653-661. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_79

An integrated interval-valued neutrosophic AHP and TOPSIS methodology for sustainable cities’ challenges

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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