INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026
6. Casas, J.M.; Insua, M.A.; Pacheco, N. On Universal Central Extensions of Hom-Lie Algebras. Hacet.
J. Math. Stat. 2015, 44, 277–288. [Google Scholar] [CrossRef]16
7. Makhlouf, A.; Silvestrov, S. Notes on 1-parameter Formal Deformations of Hom-associative and
Hom-Lie Algebras. Gruyter 2010, 22, 715–739. [Google Scholar] [CrossRef]17
8. Mikhalouf, M.; Silvestrov, S. Hom-algebra structures. J. Gen. Lie Theory Appl. 2008, 2, 51–64.
[Google Scholar] [CrossRef] 18
9. Shaqaqha, S. Fuzzy Hom-Lie Ideals of Hom-Lie Algebras. arXiv 2023, arXiv:2210.08932. [Google
Scholar]19
10. Kdaisat, N. On Hom-Lie Algebras; Yarmouk University: Irbid, Jordan, 2021. [Google Scholar]20
11. Shaqaqha, S. Restricted Hom-Lie Superalgebras. Jordan J. Math. Stat. 2019, 12, 233–255. [Google
Scholar]21
12. Zadeh, L.A. Fuzzy Sets. Inf. Control 1965, 8, 338–353. [Google Scholar] [CrossRef]22
13. Li, D.-F. Multiattribute decision making models and methods using intuitionistic fuzzy sets. J.
Comput. Syst. Sci. 2005, 70, 73–85. [Google Scholar] [CrossRef]23
14. Capocelli, R.M.; De Luca, A. Fuzzy sets and decision theory. Inf. Control 1973, 23, 446–473.
[Google Scholar] [CrossRef]24
15. Zadeh, L.A.; Klir, G.J.; Yuan, B. Fuzzy sets. In Fuzzy Logic, and Fuzzy Systems: Selected Papers;
World Scientific: Singapore, 1996. [Google Scholar]25
16. McBratney, A.B.; Odeh, I.O.A. Application of fuzzy sets in soil science: Fuzzy logic, fuzzy
measurements and fuzzy decisions. Geoderma 1997, 77, 85–113. [Google Scholar] [CrossRef]26
17. Zadeh, L.A. Making computers think like people [fuzzy set theory]. IEEE Spectr. 1984, 21, 26–32.
[Google Scholar] [CrossRef]
18. Smithson, M.; Verkuilen, J. Fuzzy Set Theory: Applications in the Social Sciences; Sage: Newcastle
upon Tyne, UK, 2006. [Google Scholar]
19. Treadwell, W.A. Fuzzy Set Theory Movement in the Social Sciences. Public Adm. Rev. 1995, 55,
91–98. [Google Scholar] [CrossRef]
20. Dubois, D.; Prade, H. Fuzzy set and possibility theory-based methods in artificial intelligence. Artif.
Intell. 2003, 148, 1–9. [Google Scholar] [CrossRef]
21. Henkind, S.J.; Yager, R.R.; Benis, A.M.; Harrison, M.C. A clinical alarm system using techniques
from artificial intelligence and fuzzy set theory. In Approximate Reasoning in Intelligent Systems,
Decision and Control; Elsevier: Amsterdam, The Netherlands, 1987; pp. 91–104. [Google Scholar]
[CrossRef]
22. Kandel, A.; Schneider, M. Fuzzy Sets and Their Applications to Artificial Intelligence. Adv.
Comput. 1989, 28, 69–105. [Google Scholar] [CrossRef]
23. Guiffrida, A.L.; Nagi, R. Fuzzy set theory applications in production management research: A
literature survey. J. Intell. Manuf. 1998, 9, 39–56. [Google Scholar] [CrossRef]
24. Zopounidis, C.; Pardalos, P.M.; Baourakis, G. Fuzzy Sets in Management, Economics, and
Marketing; World Scientific: Singapore, 2001. [Google Scholar]
25. Yehia, S.E.-B. Fuzzy Ideals and Fuzzy Subalgebras of Lie Algebras. Fuzzy Sets Syst. 1996, 80, 237–
244. [Google Scholar] [CrossRef]
26. Akram, M. Fuzzy Lie Algebras; Springer Nature Singapore Pte Ltd.: Singapore, 2018. [Google
Scholar] [CrossRef]
27. Akram, M.; Shum, K.P. Intuitionistic Fuzzy Lie Algebras. Southeast Asian Bull. Math. 2007, 31,
843–855. [Google Scholar]
28. Akram, M. Intuitionistic (S,T)-fuzzy Lie Ideals of Lie Algebras. Quasigroups Relat. Syst. 2007, 15,
201–218. [Google Scholar]
29. Akram, M. Intuitionistic fuzzy Lie ideals of Lie algebras. Int. J. Fuzzy Math. 2008, 6, 991–1008.
[Google Scholar]
30. Davvaz, B.; Dudek, W.A. Fuzzy n-Lie Algebras. J. Gen. Lie Theory Appl. 2017, 11, 1000268.
[Google Scholar] [CrossRef]
31. Shaqaqha, S. On Fuzzification of n-Lie Algebras. Jordan J. Math. Stat. 2022, 15, 523–540. [Google
Scholar]
32. Shaqaqha, S. Complex Fuzzy Lie Algebras. Jordan J. Math. Stat. 2020, 13, 231–247. [Google
Scholar]