Comparison of Medical Decision-Making with Intuitionistic Fuzzy Parametrized Fuzzy Soft Set and Riesz Summability

Murat Kirişci ()
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Murat Kirişci: Mathematical Education Department, Istanbul University-Cerrahpasa, Hasan Ali Yücel Education Faculty, Vefa 34470, Fatih, Istanbul, Turkey

New Mathematics and Natural Computation (NMNC), 2019, vol. 15, issue 02, 351-359

Abstract: In the present study, for the medical decision-making problem, the proposed techniques related to the intuitionistic fuzzy parametrized soft sets and Riesz mean methods were used. The results of the given methods were compared. The values obtained from the methods were ordered and the success of the measurement techniques of the methods were evaluated. The real dataset which is called Cleveland heart disease dataset was applied in this problem.

Keywords: Riesz summability; soft set; fuzzy soft set; intuitionistic fuzzy parametrized fuzzy soft set; decision-making; aggregation operator; Cleveland dataset (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S1793005719500194

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