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

Ali Karaşan*, Eda Bolturk, Cengiz Kahraman

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

11 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
YayınlayanSpringer Verlag
Sayfalar653-661
Sayfa sayısı9
ISBN (Basılı)9783030237554
DOI'lar
Yayın durumuYayınlandı - 2020
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Süre: 23 Tem 201925 Tem 2019

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1029
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot23/07/1925/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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