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

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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.

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Acknowledgements

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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  1. Department of Mathematical Education, Hasan Ali Yücel Education Faculty, Istanbul University-Cerrahpaşa, Büyükçekmece, 34500, Istanbul, Turkey

    Murat Kirişci

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  1. Murat Kirişci
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Correspondence to Murat Kirişci.

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Kirişci, M. A case study for medical decision making with the fuzzy soft sets. Afr. Mat. 31, 557–564 (2020). https://doi.org/10.1007/s13370-019-00741-9

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  • DOI: https://doi.org/10.1007/s13370-019-00741-9

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