Soft set models applied to pattern recognition via 3-valued extension of neutrosophic soft sets

Authors

  • Ahmad A. Abubaker Faculty of Computer Studies, Arab Open University, Saudi Arabia;
  • M. Palanikumar Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India;
  • Abdallah Al-Husban Department of Mathematics, Faculty of Science and Technology, Irbid National University, P.O. Box: 2600 Irbid, Jordan;
  • Said Broumi Laboratory of Information Processing, Faculty of Science Ben MSik, University Hassan II, Casablanca;

Keywords:

interval valued fuzzy soft set, fuzzy soft set, decision making problem, aggregation operator.

Abstract

In this communication, we give the theory of the 3-valued extension of neutrosophic soft
set (3-valued ENSS) and define certain operations. Notably, we demonstrated an algorithm to
address the decision-making problem using a soft set model. We present a similarity measure
for two 3-valued ENSSs and describe its use in a pattern recognition challenge. Illustrative
examples are provided to demonstrate their effectiveness in solving problems with uncertainties. 

 

DOI: 10.5281/zenodo.17041887

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Published

2025-12-25

Issue

Vol. 94 (2025): 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

Ahmad A. Abubaker, M. Palanikumar, Abdallah Al-Husban, & Said Broumi. (2025). Soft set models applied to pattern recognition via 3-valued extension of neutrosophic soft sets. Neutrosophic Sets and Systems, 94, 32-48. https://fs.unm.edu/nss8/index.php/111/article/view/7136

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