Decision-Making with Fuzzy Soft Matrix Using a Revised Method: A Case of Medical Diagnosis of Diseases

Taiwo Olubunmi Sangodapo, Babatunde Oluwaseun Onasanya and Sarka Mayerova-Hoskova
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Taiwo Olubunmi Sangodapo: Department of Mathematics, University of Ibadan, Ibandan 200284, Nigeria
Babatunde Oluwaseun Onasanya: Department of Mathematics, University of Ibadan, Ibandan 200284, Nigeria
Sarka Mayerova-Hoskova: Department of Mathematics and Physics, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic

Mathematics, 2021, vol. 9, issue 18, 1-12

Abstract: In this paper, we study the matrix representation of fuzzy soft sets, complement of fuzzy soft sets, product of fuzzy soft matrices and the application of fuzzy soft matrices in medical diagnosis presented by Lavanya and Akila. Additionally, a new method (max-min average) based on fuzzy reference function is introduced instead of the max-product method by Lavanya and Akila to extend Sanchez’s technique for decision making problems in medical diagnosis. Using the same data by Lavanya and Akila, the result shows that the new method gives more information about the medical status of the patients being considered in relation to a set of diseases.

Keywords: soft set; fuzzy soft set; fuzzy soft matrix; membership function; reference function; membership value (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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