Emergency Decision Making Problem of Power Cut in Turkey Using Pythagorean Fuzzy Thermodynamic Approach with Prospect Theory

Veysel Çoban*, Sezi Çevik Onar

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

Evaluating alternatives and making the right decisions in case of an emergency is very important for the normalization of life as soon as possible after an emergency. The uncertainty of the data and the different responses of the decision makers to the events in the emergency situation make it difficult to make a quick and accurate decision. The cut of energy, which is very important for the existence and maintenance of life, in unexpected situations is considered as an emergency problem. The Pythagorean fuzzy thermodynamic approach is used to eliminate uncertainties in emergency situations and the emotional effects of decision-makers. The Pythagorean fuzzy thermodynamic approach allows decision makers to make their evaluations more realistic and the resulting decision data is evaluated in a holistic way. In this study, unusual circumstances (earthquake, flood, storm, etc.) would cause energy bottleneck problem in Turkey is developed a solution proposals by emergency decision making approach based on prospect theory.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısıSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
YayınlayanSpringer
Sayfalar415-422
Sayfa sayısı8
ISBN (Basılı)9783030511555
DOI'lar
Yayın durumuYayınlandı - 2021
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Süre: 21 Tem 202023 Tem 2020

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1197 AISC
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot21/07/2023/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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