Double hierarchy hesitant fuzzy linguistic term based MULTIMOORA model for solar energy investment decision

Veysel Çoban*, Sezi Çevik Onar

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Özet

The linguistic terms used in expressing thoughts more naturally are used in many scientific studies, especially decision making. In order to obtain better results than linguistic expressions, studies are carried out to develop the hesitant fuzzy linguistic term sets (HFLTSs), which are used as the main tools for expressing and evaluating linguistic terms. A new example of these studies, the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) was developed to more accurately describe complex linguistic expressions. In this study, the decision-making problem is dealt with to determine the optimal location for the installation of photovoltaic (PV) solar plants with high installation costs. According to the DHHFLTS, the evaluation statements from the experts are processed by the MULTIMOORA method, which is an important decision-making tool, and the four alternative positions are compared according to four basic criteria.

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
Sayfalar1025-1033
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

???event.eventtypes.event.conference???

???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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