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Neutrosophic Fuzzy Score Matrices: A Robust Framework for Advancing Medical Diagnostics

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Abstract

In this paper, we introduce the Single-Valued Neutrosophic Fuzzy Matrix (SVNFM), which consists of entries that are all single-valued neutrosophic fuzzy sets (SVNFS). Our objective is to provide a practical tool for dealing with uncertain and indeterminate input. To achieve this, we first define a neutrosophic fuzzy matrix (NFM) and discuss its fundamental properties. The use of various operations in decision making is a notable characteristic of single-valued neutrosophic fuzzy matrices (SVNFMs). In this paper, we propose a multicriteria group decision-making method that incorporates novel operations on neutrosophic fuzzy matrices. Finally, we present a case study to demonstrate the effectiveness of the proposed strategy.

Original languageEnglish
Pages (from-to)8-17
Number of pages10
JournalInternational Journal of Neutrosophic Science
Volume23
Issue number3
DOIs
Publication statusPublished - 01-01-2024

All Science Journal Classification (ASJC) codes

  • Mathematics (miscellaneous)
  • Logic
  • Applied Mathematics

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