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


Kirisci M.

NEW MATHEMATICS AND NATURAL COMPUTATION, vol.15, no.2, pp.351-359, 2019 (Journal Indexed in ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.1142/s1793005719500194
  • Title of Journal : NEW MATHEMATICS AND NATURAL COMPUTATION
  • Page Numbers: pp.351-359

Abstract

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.

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.