A case study for medical decision making with the fuzzy soft sets

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Kirişci M.

AFRIKA MATEMATIKA, vol.31, pp.557-564, 2020 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31
  • Publication Date: 2020
  • Doi Number: 10.1007/s13370-019-00741-9
  • Journal Name: AFRIKA MATEMATIKA
  • Page Numbers: pp.557-564
  • Keywords: Cleveland dataset, Decision making, Defuzzification, Fuzzy soft set, Triangular fuzzy number, Trapezoidal fuzzy number
  • Istanbul University-Cerrahpasa Affiliated: Yes

Abstract

Molodtsov proposed a completely new approach to modelling uncertainty. This approach is called the soft set theory. Many applications of soft set theory have been developed by combining with a fuzzy set idea. In the present study, for the medical decision-making, the proposed technique related to the fuzzy soft set by Celik-Yamak through Sanchez's method was used. The real dataset which is called Cleveland heart disease dataset was used in this problem.