Determinant Theory for Neutrosophic Hypersoft Rough Fuzzy Matrices

Authors

  • G. Punithavalli 1Department of Mathematics Annamalai University (Deputed to Government Arts College, Chidambaram)
  • K. Ramany Department of Mathematics, Tagore Government Arts and Science College, Puducherry.

Keywords:

Neutrosophic Hyper soft Rough Fuzzy Matrices, Adjoint, Determinant.

Abstract

 In this study, we examine the determinant theory associated with Neutrosophic Hypersoft 
Rough Fuzzy Matrices (NHSRFMs) and investigate several of their structural properties. An 
improved approach for computing the determinant is introduced, specifically designed to handle 
matrices of larger dimensions with greater efficiency. Beyond the theoretical development, the 
proposed method demonstrates significant potential for integration into software systems dealing 
with uncertain, vague, or multidimensional data. To highlight its practicality, we provide a detailed 
illustrative example along with an explanation of how the approach can enhance computational 
accuracy, reduce processing time, and improve decision-support capabilities in software 
applications. 

 

DOI: 10.5281/zenodo.17113163

Downloads

Download data is not yet available.

Downloads

Published

2026-03-25

Issue

Vol. 97 (2026): Neutrosophic Sets and Systems

Section

Article

License

Copyright (c) 2025 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

G. Punithavalli, & K. Ramany. (2026). Determinant Theory for Neutrosophic Hypersoft Rough Fuzzy Matrices . Neutrosophic Sets and Systems, 97, 9-33. https://fs.unm.edu/nss8/index.php/111/article/view/7285