Novel Multi-Attribute Group-Decision Making Method with TOPSIS: A Fermatean Fuzzy Hypersoft Sets and Correlation Coefficients 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.952-960, 2022

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2022
  • Yayınevi: IOS Press
  • Basıldığı Şehir: Wuhan
  • Sayfa Sayıları: ss.952-960
  • 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

One goal of this research is to provide Fermatean fuzzy hypersoft sets and investigate their basic properties. The second goal of this research is to develop the concept and properties of the correlation coefficient and weighted correlation coefficient for the Fermatean fuzzy hypersoft set, as well as to introduce aggregation operators such as the Fermatean fuzzy hypersoft weighted average and Fermatean fuzzy hypersoft weighted geometric operators in the Fermatean fuzzy  hypersoft set scenario. A prioritization technique for order preference by similarity to the ideal solution (TOPSIS) is presented using correlation coefficients and weighted correlation coefficients in a Fermatean fuzzy hypersoft set. A technique for solving the multi-attribute group decision-making problem is planned using the developed methodology. In addition, examples of medical decisionmaking are presented to demonstrate the importance and application of the developed methodology.