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September 10, 2025European Journal of Pure and Applied MathematicsOpen Access

Detecting of Rumours in Social Media via Neutrosophic Hesitance Distance Measures

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Authors

MKM. KaviyarasuRVR. VenithaMAMohammed AlqahtaniSaudi Electronic University

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Implication

This approach enhances decision-making for misinformation detection using neutrosophic distance measures, indicating improved reliability.

Key Points

  • The introduction of neutrosophic hesitance distance measures improves misinformation detection.
  • Incorporating hesitance values into similarity and distance metrics enhances analysis accuracy.
  • The study provides examples of how neutrosophic set methods can be applied in practical scenarios.
  • Identifying the benefits of fuzzy systems in digital misinformation analysis highlights new possibilities.

Cite This Study

Kaviyarasu et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64795433https://doi.org/10.29020/nybg.ejpam.v18i3.6476
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