Volume 5 • Issue 1 • PP: 01–07 • 2025
A Brief Study on Fuzzy Off-Group Theory
Open Access & Copyright
© 2025 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Abstract
Uncertainty-handling frameworks such as fuzzy sets, rough sets, intuitionistic fuzzy sets, neutrosophic sets, Picture Fuzzy Sets, hyperneutrosophic sets, and plithogenic sets have attracted sustained research interest. These frameworks have been widely applied across various mathematical disciplines, including graph theory, topology, algebra, and group theory. More recently, the concept of the offset has emerged as a powerful and promising generalization of conventional uncertainty models. In this paper, we introduce a novel algebraic structure called the Fuzzy Off-Group and conduct an in-depth study of its fundamental mathematical properties. We hope that this framework will further advance research in group theory and uncertainty modeling with offsets, and that it will open up new avenues for application.
Keywords
References
[1] F. Smarandache, Neutrosophic Overset, Neutrosophic Underset, and Neutrosophic Offset. Similarly for Neutrosophic Over-/Under-/Off-Logic, Probability, and Statistics. Infinite Study, 2016.
[2] F. Smarandache, M. A. Quiroz-Martínez, J. Estupiñán, N. B. Hernández, and M. Y. L. Vazquez, “Application of neutrosophic offsets for digital image processing,” 2020.
[3] L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965.
[4] H.-J. Zimmermann, Fuzzy Set Theory—and Its Applications. Springer Science & Business Media, 2011.
[5] F. Smarandache, “Practical applications of the independent neutrosophic components and of the neutrosophic offset components,” Neutrosophic Sets and Systems, vol. 47, pp. 558–572, 2021.
[6] M. Richardson, C. Abraham, and R. Bond, “Psychological correlates of university students’ academic performance: A systematic review and meta-analysis,” Psychological Bulletin, vol. 138, no. 2, p. 353, 2012.
[7] A. E. Poropat, “A meta-analysis of the five-factor model of personality and academic performance,” Psychological Bulletin, vol. 135, no. 2, p. 322, 2009.
[8] S. Sudha, M. Lathamaheswari, S. Broumi, and F. Smarandache, “Neutrosophic fuzzy magic labeling graph with its application in academic performance of the students,” Neutrosophic Sets and Systems, vol. 60, no. 1, p. 8, 2023.
[9] P. S. Das, “Fuzzy groups and level subgroups,” Journal of Mathematical Analysis and Applications, vol. 84, no. 1, pp. 264–269, 1981.
[10] J. N. Mordeson, K. R. Bhutani, and A. Rosenfeld, Fuzzy Group Theory. Springer, 2005, vol. 182.
[11] F. E. Boran, S. Genç, M. Kurt, and D. Akay, “A multicriteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method,” Expert Systems with Applications, vol. 36, no. 8, pp. 11 363– 11 368, 2009.
[12] J. Ghosh and T. K. Samanta, “Hyperfuzzy sets and hyperfuzzy group,” International Journal of Advanced Science and Technology, vol. 41, pp. 27–37, 2012.
[13] B. Basumatary and N. Wary, “A study on neutrosophic bitopological group,” Neutrosophic Sets and Systems, vol. 38, pp. 164–178, 2020.
[14] A. Elrawy, M. Abdalla, and M. A. Saleem, “Some results on neutrosophic group,” Journal of Mathematics, vol. 2023, pp. 1–6, 2023.
[15] M. Abdel-Basset, M. Mohamed, and F. Smarandache, “A hybrid neutrosophic group ANP-TOPSIS framework for supplier selection problems,” Symmetry, vol. 10, p. 226, 2018.
[16] G. Muhiuddin, E. Mohammadzadeh, F. Mohammadzadeh, and R. A. Borzooei, “Construction of fuzzy hyper BCI-algebras using fuzzy hypergroupoid,” New Mathematics and Natural Computation, vol. 19, pp. 557–577, 2022.
[17] M. Al Tahan, S. Hoskova-Mayerova, and B. Davvaz, “An overview of topological hypergroupoids,” Journal of Intelligent & Fuzzy Systems, vol. 34, pp. 1907–1916, 2018.
[18] A. Kargın, F. Smarandache, and M. ¸ Sahin, New Type Hyper Groups, New Type SuperHyper Groups and Neutro- New Type SuperHyper Groups. Infinite Study, 2023.
[19] F. Sultana, M. Gulistan, M. Ali, N. Yaqoob, M. Khan, T. Rashid, and T. Ahmed, “A study of plithogenic graphs: Applications in spreading coronavirus disease (COVID-19) globally,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 10, pp. 13 139– 13 159, 2023.
[20] S. G. Quek, G. Selvachandran, F. Smarandache, J. Vimala, S. H. Le, Q.-T. Bui, and V. C. Gerogiannis, “Entropy measures for plithogenic sets and applications in multi-attribute decision making,” Mathematics, vol. 8, no. 6, p. 965, 2020.
[21] Z. Xu, Hesitant Fuzzy Sets Theory. Springer, 2014, vol. 314.
[22] V. Torra and Y. Narukawa, “On hesitant fuzzy sets and decision,” in 2009 IEEE International Conference on Fuzzy Systems. IEEE, 2009, pp. 1378–1382.
[23] M. Akram, “Bipolar fuzzy graphs,” Information Sciences, vol. 181, no. 24, pp. 5548–5564, 2011.
[24] W.-R. Zhang, “Bipolar fuzzy sets and relations: A computational framework for cognitive modeling and multiagent decision analysis,” in NAFIPS/IFIS/NASA ’94: Proceedings of the First International Joint Conference of the North American Fuzzy Information Processing Society Biannual Conference, the Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop, 1994, pp. 305–309.
[25] B. C. Cuong and V. Kreinovich, “Picture fuzzy sets—a new concept for computational intelligence problems,” in 2013 Third World Congress on Information and Communication Technologies (WICT 2013). IEEE, 2013, pp. 1–6.
[26] Y. L. Liu, H. S. Kim, and J. Neggers, “Hyperfuzzy subsets and subgroupoids,” Journal of Intelligent & Fuzzy Systems, vol. 33, pp. 1553–1562, 2017.
[27] Z. Nazari and B. Mosapour, “The entropy of hyperfuzzy sets,” Journal of Dynamical Systems and Geometric Theories, vol. 16, no. 2, pp. 173–185, 2018.
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