Data Analysis for Lung Cancer: Fermatean Hesitant Fuzzy Sets Approach

Creative Commons License

Kirişci M.

APPLIED MATHEMATICS, MODELING AND COMPUTER SIMULATION, Chi-Hua Chen,Andrea Scapellato,Alessandro Barbiero,Dmitry G. Korzun, Editör, IOS Press , Wuhan, ss.701-710, 2022

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2022
  • Yayınevi: IOS Press
  • Basıldığı Şehir: Wuhan
  • Sayfa Sayıları: ss.701-710
  • Editörler: Chi-Hua Chen,Andrea Scapellato,Alessandro Barbiero,Dmitry G. Korzun, Editör
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

The Fermatean fuzzy set concept, which was developed by merging Fermatean fuzzy sets with hesitant fuzzy sets, may be utilized in practice to ease the solution of complex multi-criteria decision-making (MCDM) issues. The idea of a Fermatean hesitant fuzzy set is introduced first, followed by the operations associated with this concept. Aggregation operations based on Fermatean hesitant fuzzy sets are provided, and their fundamental features are investigated. A novel MCDM approach obtained using operators has been developed to choose the best choice in practice. Finally, the efficiency of the recommended strategies was demonstrated using a lung cancer case study.