Comparison of Medical Decision-Making with Intuitionistic Fuzzy Parametrized Fuzzy Soft Set and Riesz Summability

Kirisci M.

NEW MATHEMATICS AND NATURAL COMPUTATION, cilt.15, sa.2, ss.351-359, 2019 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 2
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1142/s1793005719500194
  • Dergi Adı: NEW MATHEMATICS AND NATURAL COMPUTATION
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.351-359
  • İstanbul Üniversitesi Adresli: Hayır

Özet

In the present study, for the medical decision-making problem, the proposed techniques related to the intuitionistic fuzzy parametrized soft sets and Riesz mean methods were used. The results of the given methods were compared. The values obtained from the methods were ordered and the success of the measurement techniques of the methods were evaluated. The real dataset which is called Cleveland heart disease dataset was applied in this problem.

In the present study, for the medical decision making problem, the proposed tech-
niques related to the intuitionistic fuzzy parametrized soft sets and Riesz mean methods
were used. The results of the given methods were compared. The values obtained from
the methods were ordered and the success of the measurement techniques of the meth-
ods were evaluated. The real dataset which is called Cleveland heart disease dataset
applied in this problem.