Year: 2025
Type: article
Abstract: In real-life situations, we often encounter challenges involving uncertainty, vagueness, complexity, and unpredictability.Heptapartitioned Neutrosophic Sets serve as a mathematical tool to address issues that existing methods cannot effectively resolve.Heptapartitioned Neutrosophic Soft Matrices play a vital role in managing indeterminate and inconsistent information during the decision-making process.This paper focuses on exploring the concepts of Heptapartitioned Neutrosophic Sets, Heptapartitioned Neutrosophic Soft Sets, and Heptapartitioned Neutrosophic Soft Matrices, which are highly effective in handling situations involving uncertainty and imprecision.It further proposes a novel method for constructing decision matrices using these soft matrices as a practical application of the theory.The study introduces an algorithm based on Heptapartitioned Neutrosophic Soft Matrices to address problems in disease diagnosis by analyzing patient symptoms.Specifically, it examines the relationship between patients and symptoms, as well as between symptoms and diseases, using these matrices.To support decision-making, a score matrix is defined by applying max-min operations and complementation of Heptapartitioned Neutrosophic Soft Matrices.
Authors: T. Mythili, V. Jeyanthi, D. Maheswari, W.F.Al Omeri
Language: English
Topic: Fuzzy and Soft Set Theory
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7092367288
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