Volume 5 , Issue 1 , PP: 01-11, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Takaaki Fujita 1 * , Arif Mehmood Khattak 2 , Arkan A. Ghaib 3
Doi: https://doi.org/10.54216/PAMDA.050101
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.
Fuzzy Offset , Fuzzy Set , Fuzzy OffGroup , Fuzzy Group
[1] Florentin Smarandache. Neutrosophic Overset, Neutrosophic Underset, and Neutrosophic Offset. Similarly for Neutrosophic Over-/Under-/Off-Logic, Probability, and Statistics. Infinite Study, 2016.
[2] Florentin Smarandache, Miguel A. Quiroz-Mart´ınez, Jes´us Estupi˜n´an, Noel Batista Hern´andez, and Maikel Yelandi Leyva Vazquez.Application of neutrosophic offsets for digital image processing. 2020.
[3] Lotfi A Zadeh. Fuzzy sets. Information and control, 8(3):338–353, 1965.
[4] Hans-J¨urgen Zimmermann. Fuzzy set theory—and its applications. Springer Science & Business Media, 2011.
[5] Takaaki Fujita. A review of fuzzy and neutrosophic offsets: Connections to some set concepts and normalization function. Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond, page 74, 2024.
[6] Michelle Richardson, Charles Abraham, and Rod Bond. Psychological correlates of university students’ academic performance: a systematic review and meta-analysis. Psychological bulletin, 138(2):353, 2012.
[7] Arthur E Poropat. A meta-analysis of the five-factor model of personality and academic performance. Psychological bulletin, 135(2):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, 60(1):8, 2023.
[9] P Sivaramakrishna Das. Fuzzy groups and level subgroups. J. MATH. ANALY. AND APPLIC., 84(1):264–269, 1981.
[10] John N Mordeson, Kiran Ravender Bhutani, and Azriel Rosenfeld. Fuzzy group theory, volume 182. Springer, 2005.
[11] Fatih Emre Boran, Serkan Genc¸, Mustafa Kurt, and Diyar Akay. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with topsis method. Expert systems with applications, 36(8):11363–11368, 2009.
[12] Jayanta Ghosh and Tapas Kumar Samanta. Hyperfuzzy sets and hyperfuzzy group. Int. J. Adv. Sci. Technol, 41:27–37, 2012.
[13] Sunday Adesina Adebisi and Adetunji Patience Ajuebishi. The order involving the neutrosophic hyperstructures, the construction and setting up of a typical neutrosophic group. HyperSoft Set Methods in Engineering, 3:26–31, 2025.
[14] Ahmed Hatip et al. On the two-fold neutrosophic groups and their algebra properties. Journal of Neutrosophic and Fuzzy Systems, (1):28–8, 2024.
[15] Mohamed Abdel-Basset, Mai Mohamed, and Florentin Smarandache. A hybrid neutrosophic group anp-topsis framework for supplier selection problems. Symmetry, 10:226, 2018.
[16] Ghulam Muhiuddin, E. Mohammadzadeh, Fahimeh Mohammadzadeh, and R. A. Borzooei. Construction of fuzzy hyper bci-algebras using fuzzy hypergroupoid. New Math. Nat. Comput., 19:557–577, 2022.
[17] Madeline Al Tahan, Sarka Hoskova-Mayerova, and Bijan Davvaz. An overview of topological hypergroupoids. J. Intell. Fuzzy Syst., 34:1907–1916, 2018.
[18] Abdullah Kargın, Florentin Smarandache, and Memet S¸ ahin. New Type Hyper Groups, New Type SuperHyper Groups and Neutro- New Type SuperHyper Groups. Infinite Study, 2023.
[19] Fazeelat Sultana, Muhammad Gulistan, Mumtaz Ali, Naveed Yaqoob, Muhammad Khan, Tabasam Rashid, and Tauseef Ahmed. A study of plithogenic graphs: applications in spreading coronavirus disease (covid-19) globally. Journal of ambient intelligence and humanized computing, 14(10):13139–13159, 2023.
[20] P Sathya, Nivetha Martin, and Florentine Smarandache. Plithogenic forest hypersoft sets in plithogenic contradiction based multi- criteria decision making. Neutrosophic Sets and Systems, 73:668–693, 2024.
[21] Zeshui Xu. Hesitant fuzzy sets theory, volume 314. Springer, 2014.
[22] Vicenc¸ Torra and Yasuo Narukawa. On hesitant fuzzy sets and decision. In 2009 IEEE international conference on fuzzy systems, pages 1378–1382. IEEE, 2009.
[23] Muhammad Akram. Bipolar fuzzy graphs. Information sciences, 181(24):5548–5564, 2011.
[24] Wen-Ran Zhang. Bipolar fuzzy sets and relations: a computational framework for cognitive modeling and multiagent decision analysis. 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 Intellige, pages 305–309, 1994.
[25] Bui Cong Cuong and Vladik Kreinovich. Picture fuzzy sets-a new concept for computational intelligence problems. In 2013 third world congress on information and communication technologies (WICT 2013), pages 1–6. IEEE, 2013.
[26] Yong Lin Liu, Hee Sik Kim, and J. Neggers. Hyperfuzzy subsets and subgroupoids. J. Intell. Fuzzy Syst., 33:1553–1562, 2017.
[27] Z Nazari and B Mosapour. The entropy of hyperfuzzy sets. Journal of Dynamical Systems and Geometric Theories, 16(2):173–185, 2018.