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International Journal of Neutrosophic Science

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Online: 2690-6805 Print: 2692-6148
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International Journal of Neutrosophic Science
Full Length Article

Volume 26Issue 1PP: 127-135, • 2025

Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty

Ronnason Chinram 1* ,
Sasiwimon Iwsakul 1
1Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
* Corresponding Author.
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© 2025 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Received: October 18, 2024 Revised: January 07, 2025 Accepted: February 18, 2025

Abstract

In this paper, we extend statistical hypothesis testing to data represented as neutrosophic sets, encompassing membership, indeterminacy, and non-membership components. Two distinct scenarios are considered: first, where all three components are independent, and second, where all three components are dependent.

Keywords

Neutrosophic sets Statistical hypothesis testing Means Decision-making

References

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[2] M.G. Akbari, G. Hesamian, Testing statistical hypotheses for intuitionistic fuzzy data, Methodologies and Application, vol. 23, pp. 10385–10392, October 2018. https://doi.org/10.1007/ s00500-018-3590-2

[3] G. Atalik, S. Senturk, O. T¨urksen, N. Erginel, Intuitionistic Fuzzy Hypothesis Testing with Fuzzy Data, Journal of Multiple-valued Logic and Soft Computing, vol. 36, pp. 527-542, June 2021.

[4] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87-96, August 1986. https://doi.org/10.1016/S0165-0114(86)80034-3

[5] M. R. Casals, M. A. Gil, P. Gil, The Fuzzy decision problem: an approach to the problem of testing statistical hypotheses with fuzzy information, European Journal of Operational Research, vol. 27, no. 3, pp. 371-382, December 1986. https://doi.org/10.1016/0377-2217(86)90333-4

[6] F. Smarandache, Neutrosophic set - A Generalization of the Intuitionistic fuzzy set, Journal of Defense Resources, vol. 1, no. 1, pp. 107-116, September 2010.

[7] N. X. Thao, F. Smarandache, N. V. Dinh, Support-Neutrosophic Set: A New Concept in Soft Computing, Neutrosophic Sets and Systems, vol 16, pp. 93-98, 2017.

[8] F. Tas, S. Topal, F. Smarandache, Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces, Symmetry, vol 10, no. 10, pp. 1-12, October 2018.

[9] L. A. Zadeh, Fuzzy sets, Information and Control, vol. 8, pp. 338-353, June 1965. https://doi. org/10.1016/S0019-9958(65)90241-X

Cite This Article

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Chinram, Ronnason, Iwsakul, Sasiwimon. "Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty." International Journal of Neutrosophic Science, vol. Volume 26, no. Issue 1, 2025, pp. 127-135,. DOI: https://doi.org/10.54216/IJNS.260111
Chinram, R., Iwsakul, S. (2025). Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty. International Journal of Neutrosophic Science, Volume 26(Issue 1), 127-135,. DOI: https://doi.org/10.54216/IJNS.260111
Chinram, Ronnason, Iwsakul, Sasiwimon. "Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty." International Journal of Neutrosophic Science Volume 26, no. Issue 1 (2025): 127-135,. DOI: https://doi.org/10.54216/IJNS.260111
Chinram, R., Iwsakul, S. (2025) 'Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty', International Journal of Neutrosophic Science, Volume 26(Issue 1), pp. 127-135,. DOI: https://doi.org/10.54216/IJNS.260111
Chinram R, Iwsakul S. Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty. International Journal of Neutrosophic Science. 2025;Volume 26(Issue 1):127-135,. DOI: https://doi.org/10.54216/IJNS.260111
R. Chinram, S. Iwsakul, "Advances in Hypothesis Testing with Neutrosophic Sets: A Framework for Uncertainty," International Journal of Neutrosophic Science, vol. Volume 26, no. Issue 1, pp. 127-135,, 2025. DOI: https://doi.org/10.54216/IJNS.260111
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