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

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 th...

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Bibliographic Details
Published in:Afrika mathematica 2020-06, Vol.31 (3-4), p.557-564
Main Author: Kirişci, Murat
Format: Article
Language:English
Subjects:
Applications of Mathematics
Datasets
Decision making
Fuzzy set theory
Fuzzy sets
Heart diseases
History of Mathematical Sciences
Mathematics
Mathematics and Statistics
Mathematics Education
Set theory
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Summary: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.
ISSN:1012-9405
2190-7668
DOI:10.1007/s13370-019-00741-9