A case study for medical decision making with the fuzzy soft sets
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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.
KeywordsCleveland dataset Decision making Defuzzification Fuzzy soft set Triangular fuzzy number Trapezoidal fuzzy number
Mathematics Subject ClassificationPrimary 03E75 Secondary 03E72 68T37 94D05
I have benefited much from the constructive reports of the anonymous referees, and I am grateful for their valuable comments on the first draft on this paper, which improved the presentation and readability.
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Conflict of interest
The author declares that he has no conflict of interest.
- 11.UC Irvine Machine Learning Repository, Cleveland heart disease data details (online) (2010). https://archive.ics.uci.edu/ml/datasets/heart+disease. Accessed 9 Sep 2018