Proportional Neutrosophic CODAS Method and Its Application to Electric Vehicle Station Location Selection

Eda Boltürk*, Cengiz Kahraman

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

With the electric car manufacturing, it has been seen that the importance of location of electric vehicle station location in big cities. Multi criteria decision making techniques are used in investment selection and provide use among alternatives. COmbinative Distance-based ASsessment is one of the important multi criteria decision making techniques, it has been used since 2016 [1]. While human opinions can contain vagueness, this vagueness should also be considered in the investment evaluation. Neutrosophic sets are used to represent human thoughts through membership function and are defined with truthiness, indecision and falsity degrees which are independent values among themselves. Proportional neutrosophic sets are the one of the extensions of neutrosophic sets. In this study, COmbinative Distance-based ASsessment is extended with proportional neutrosophic sets, and the extended model is applied in the electric vehicle station location for Istanbul. Future and recommendations are given in last section.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar766-774
Sayfa sayısı9
ISBN (Basılı)9783031700170
DOI'lar
Yayın durumuYayınlandı - 2024
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey
Süre: 16 Tem 202418 Tem 2024

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim1088 LNNS
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Ülke/BölgeTurkey
ŞehirCanakkale
Periyot16/07/2418/07/24

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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