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

ÇOBAN V., Onar S. Ç.

International Conference on Intelligent and Fuzzy Systems, INFUS 2019, İstanbul, Türkiye, 23 - 25 Temmuz 2019, cilt.1029, ss.1025-1033, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1029
  • Doi Numarası: 10.1007/978-3-030-23756-1_121
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1025-1033
  • Anahtar Kelimeler: Double hierarchy hesitant fuzzy linguistic term set, Double hierarchy linguistic term set, MCDM decision making, Solar energy
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

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.