Detecting of Rumours in Social Media via Neutrosophic Hesitance Distance Measures

Authors

  • M. Kaviyarasu Professor, Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi, Chennai, Tamil Nadu-600 062.India https://orcid.org/0000-0002-4709-1857
  • Venitha R. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi, Chennai, Tamil Nadu-600 062.India https://orcid.org/0009-0003-1822-140X
  • Mohammed Alqahtani Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, P.O. Box 93499, Riyadh 11673, Saudi Arabia

DOI:

https://doi.org/10.29020/nybg.ejpam.v18i3.6476

Keywords:

Neutrosophic fuzzy set, Hesitance Distance measure, Score function , Decision-making problem

Abstract

This article introduces a new approach for digital misinformation detection with the  application of Neutrosophic Hesitance Distance Measures. Including hesitance values in neutrosophic similarity and distance measurement helps us to deal with uncertainty and vagueness better. Complement, max, min, and max-min operations are explained along with definitions. An example provides a glimpse of how Neutrosophic Set Hesitance Distance Measure enhances decision-making for detecting misinformation on social media. The findings identify the benefits of merging hesitance into neutrosophic fuzzy systems to achieve more precise and reliable analysis.

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Published

2025-08-01

Issue

Vol. 18 No. 3: (July 2025)

Section

Mathematical and Fuzzy Logic

License

Copyright (c) 2025 M. Kaviyarasu, Venitha R. , Mohammed Alqahtani

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How to Cite

Detecting of Rumours in Social Media via Neutrosophic Hesitance Distance Measures. (2025). European Journal of Pure and Applied Mathematics, 18(3), 6476. https://doi.org/10.29020/nybg.ejpam.v18i3.6476