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Fermatean Neutrosophic Rough Set
Abstract
Keywords
References
1. Z. Pawlak, (1982). Rough Sets, Int J Compute Inform Sci; 11:341-356.
2. D. Dubois and H. Parade, (1990). Upper and lower approximations of fuzzy set, International journal of general systems 17. 191-209.
3. C. Antony Crispin Sweety, I. Arockiarani (2010). Rough sets in neutrosophic approximation space, Annals of Fuzzy Mathematics and Informatics 13 (4), 449-463.
4. Zadeh. L. A, Fuzzy Sets, Inform. and Control, 8, 338- 353, 1965.
5. K. Atanassov, (1986). Intuitionistic fuzzy sets. Fuzzy sets and systems 20, 87-96.
6. F. A. Smarandache (1999). Unifying Field in Logics. Neutrosophy: Neutrosophic Probability, Set and Logic. Rehoboth: American Research Press.
7. F. Smarandache, (2002). Neutrosophy and Neutrosophic Logic, Information Sciences First International Conference on Neutrosophy, Neutrosophic Logic, Set, Probability and Statistics University of New Mexico, Gallup, NM 87301, USA.
8. Said Broumi, Florentin Smarandache, Neutrosophic Refined Similarity Measure Based on Cosine Function, Neutrosophic Sets and Systems, Vol. 6, 2014
9. R. R. Yager, (2013). Pythagorean Fuzzy Subsets,In:Proc Joint IFSA World Congress and NAFIPS Annual Meeting,Edmonton,Canada,57-61.
10. C. Antony Crispin Sweety, R. Jansi, Fermatean Neutrosophic Sets, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 10, Issue 6, pp. 24-27,2021.
11. Broumi, S., Sundareswaran, R., Shanmugapriya, M., Bakali, A., & Talea, M. (2022). Theory and applications of Fermatean neutrosophic graphs. Neutrosophic Sets and Systems, 50, 248-286.
12. Broumi, S., Mohanaselvi, S., Witczak, T., Talea, M., Bakali, A., & Smarandache, F. (2023). Complex fermatean neutrosophic graph and application to decision making. Decision Making: Applications in Management and Engineering, 6(1), 474-501.
13. Broumi, S. (2023). Fermatean Neutrosophic Matrices and Their Basic Operations. Neutrosophic Sets and Systems, 58(1), 35.
14. Senapati, T., & Yager, R. R. (2020). Fermatean fuzzy sets. Journal of ambient intelligence and humanized computing, 11, 663-674.
15. Broumi, S., Sundareswaran, R., Shanmugapriya, M., Singh, P. K., Voskoglou, M., & Talea, M. (2023). Faculty performance evaluation through multi-criteria decision analysis using interval-valued fermatean neutrosophic sets. Mathematics, 11(18), 3817.
16. B. Sun, Z. Gong, D. Chen (2008). Fuzzy rough set theory for the interval-valued fuzzy information systems, Inf. Sci; 178:2794-2815.
17. Z. Gong, B. Sun, D. Chen, (2008). Rough set theory for the interval-valued fuzzy information systems, Inf Sci; 178:1968-1985.
18. R. Jansi, K. Mohana and Florentin Smarandache, (2019). Correlation Measure for Pythagorean Neutrosophic Sets with T and F as Dependent Neutrosophic Components, Neutrosophic Sets and Systems, Vol. 30, 2019, January.
19. J.S. Mi, Y. Leung,H. Y. Zhao,T. Feng, (2008). Generalized Fuzzy Rough Sets determined by a triangular norm, Inf Sci; 178:3203-3213.
20. Vasantha Kadasamy and Florentin Smarandache (2013). Neutrosophic Lattices Neutrosophic Lattices Neutrosophic Sets and Systems; 2:42-50.
21. X. B. Yang, X. N. Song, H. L. Dou, J.Y. Yang, (2011). Multi-granulation rough set: from crisp to fuzzy case Annals of Fuzzy Mathematics and Informatics 1, 55-70
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