New Similarity measures for Neutrosophic Binary topology using Euclidean distance.

Authors

  • J.Elekiah Research Scholar, Department of Mathematics,Nirmala College for Women, Coimbatore,(TN) India;
  • G.Sindhu Associate Professor, Department of Mathematics, Nirmala College for Women, Coimbatore,(TN) India;

Keywords:

Similarity measure, Euclidean distance, Neutrosophic binary set .

Abstract

This paper focuses on introducing a new similarity measure for the neutrosophic binary
 set.Similarity measure are used in multi attribute desicion making problems to find the difference be
tween the alternatives.In this paper a new measure based on Euclidean distance is introduced to find
 the measure between two binary single valued neutrosophic set.Further its is applied in a multi attribute
 desicion problem to see the attainability of the proposed measure.

 

DOI: 10.5281/zenodo.11180017

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Published

2024-05-01

Issue

Vol. 67 (2024): Neutrosophic Sets and Systems

Section

Article

License

Copyright (c) 2024 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

J.Elekiah, & G.Sindhu. (2024). New Similarity measures for Neutrosophic Binary topology using Euclidean distance. Neutrosophic Sets and Systems, 67, 233-245. https://fs.unm.edu/nss8/index.php/111/article/view/4455