References:
1. Zadeh, L.A. "Fuzzy sets", Information and Control, 8(3), pp. 338-353 (1965). DOI: 10.1016/S0019- 9958(65)90241-X.
2. Atanassov, K.T. "Intuitionistic fuzzy sets", Fuzzy Sets and Systems, 20, pp. 87-96 (1986). DOI: 10.1016/S0165-0114(86)80034-3.
3. Yager, R.R. "Pythagorean fuzzy subsets", In: Proceedings of Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Canada, pp. 57-61 (2013).DOI: 10.1109/IFSA-NAFIPS.2013.6608375.
4. Peng, X. and Selvachandran, G. "Pythagorean fuzzy set: state of the art and future directions", Artificial Intelligence Review, 52(3), pp. 1873-1927 (2019). DOI: 10.1007/s10462-017-9596-9.
5. Cuong, B.C. "Picture fuzzy sets first results. Part 1, in preprint of seminar "Neuro-fuzzy systems with applications", Institute of Mathematics, Hanoi Vietnam (2013).
6. Mahmood, T., Kifayat, U., Khan, Q., et al. "An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets", Neural Computing and Applications, 11 (2019). DOI: 10.1007/s00521-018-3521-2.
7. Kifayat, U., Mahmood, T., and Jan, N. "Similarity measures for T-spherical fuzzy sets with applications in pattern recognition", Symmetry, 10(6), p. 193 (2018). DOI: 10.3390/sym10060193.
8. Garg, H., Munir, M., Ullah, K., et al. "Algorithm for T-spherical fuzzy multi-attribute decisionmaking based on improved interactive aggregation operators", Symmetry, 10, p. 670 (2018). DOI: 10.3390/sym10120670.
9. Liu, P., Khan, Q., Mahmood, T., et al. "Tspherical fuzzy power muirhead mean operator based on novel operational alws and their application in multi-attribute group decision making", IEEE Access, 7, pp. 22613-22632 (2019). DOI: 10.1109/ACCESS. 2019.2896107.
10. Jin, H., Ashraf, S., Abdullah, S., et al. "Linguistic spherical fuzzy aggregation operators and their applications in multi-attribute decision making problems", Mathematics, 7, p. 413 (2019). DOI: 10.3390/math7050413.
11. Guleria, A. and Bajaj, R.K. "Eigen spherical fuzzy sets and its application in decision making", Scientia Iranica, 28(1), pp. 516-531 (2019). DOI: 10.24200/sci.2019.51999.2470.
12. Molodtsov, D.A. "Soft set theory-first result", Computers and Mathematics with Application, 27, pp. 19- 31 (1999).
13. Maji, P.K., Biswas, R., and Roy, A.R. "Intuitionistic fuzzy soft sets", Journal of Fuzzy Mathematics, 9, pp. 677-692 (2001). DOI: 10.4236/ajcm.2023.131008.
14. Maji, P.K., Biswas, R., and Roy, A.R. "An application of soft sets in a decision-making problem", Computers and Mathematics with Applications, 44, pp. 1077-1083 (2002). DOI: 10.1016/S0898-1221(02)00216-X.
15. Maji, P.K., Biswas, R., and Roy, A.R. "Soft set theory", Computers and Mathematics with Applications, 45, pp. 555-562 (2003). DOI: 10.1016/j.camwa.2008.03.019.
16. Peng, X., Yang, Y., Song, J., et al. "Pythagorean fuzzy soft set and its application", Computer Engineering, 41, pp. 224-229 (2015). DOI: 10.3969/j.issn.1000-3428.2015.07.043.
17. Wang, L. and Li, N. "Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making", International Journal of Intelligent Systems, 35(1), pp. 150-183 (2020). DOI: 10.1002/int.22204.
18. Guleria, A. and Bajaj, R.K. "T-spherical fuzzy soft sets and its aggregation operators with application in decision making", Scientia Iranica, 28(2), pp. 1014- 1029 (2019). DOI: 10.24200/sci.2019.53027.3018.
19. Naim, C. and Serdar, E. "Soft matrix theory and its decision-making", Computers and Mathematics with Applications, 59, pp. 3308-3314 (2010). DOI: 10.1016/j.camwa.2010.03.015.
20. Yong, Y. and Chenli, J. "Fuzzy soft matrices and their applications", Lecture Notes in Computer Science, 7002, pp. 618-627 (2011). DOI: 10.1007/s00500-018-3419-z.
21. Chetia, B. and Das, P.K. "Some results of intuitionistic fuzzy soft matrix theory", Advances in Applied Science Research, 3, pp. 412-423 (2012). DOI: 10.11648/j.dmath.20200501.12.
22. Yang, Y., Liang, C., Ji, S., et al. "Adjustable soft discernibility matrix based on picture fuzzy soft sets and its applications in decision making", Journal of Intelligent & Fuzzy Systems, 29(4), pp. 1711-1722 (2015). DOI: 10.3233/IFS-151648.
23. Kamaci, H. "Similarity measure for soft matrices and its applications", Journal of Intelligent & Fuzzy Systems, 36(4), pp. 3061-3072 (2019). DOI: 10.3233/JIFS-18339.
24. Guleria, A. and Bajaj, R.K. "On pythagorean fuzzy soft matrices, operations and their applications in decision making and medical diagnosis", Soft Computing, 23(17), pp. 7889-7900 (2019). DOI: 10.1007/s00500-018-3419-z.
25. Bajaj, R.K. and Guleria, A. "Dimensionality reduction technique in decision making using pythagorean fuzzy soft matrices", Recent Patents on Computer Science, 12, pp. 1-8 (2019). DOI: 10.2174/2213275912666190119160621.
26. Wu, M.Q., Chen, T.Y., and Fan, J.P. "Divergence measure of T-spherical fuzzy sets and its applications in pattern recognition", IEEE Access, 8, pp. 10208- 10221 (2019). DOI: 10.1109/ACCESS.2019.2963260.
27. Chen, Y., Munir, M., Mahmood, T., et al. "Some generalized T-spherical and group-generalized fuzzy geometric aggregation operators with application in MADM problems", Journal of Mathematics, 2021 (2021). DOI: 10.1155/2021/5578797.
28. Garg, H., Ullah, K., Mahmood, T., et al. "T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making", Journal of Ambient Intelligence and Humanized Computing, 12, pp. 9067-9080 (2021). DOI: 10.1007/s12652-020-02600-z.
29. Cagman, N. and Enginoglu, S. "Fuzzy soft matrix theory and its application in decision making", Iranian Journal of Fuzzy Systems, 9(1), pp. 109-119 (2012). DOI: 10.22111/ijfs.2012.229.
30. Broumi, S., Smarandache, F., and Dhar, M. "On fuzzy soft matrix based on reference function", IJ Information Engineering and Electronic Business, 2, p. 52 (2013). DOI: 10.5815/ijieeb.2013.02.08.
31. Petchimuthu, S., Garg, H., Kamaci, H., et al. "The mean operators and generalized products of fuzzy soft matrices and their applications in MCGDM", Computational and Applied Mathematics, 39(2), pp. 1-32 (2020). DOI: 10.1007/s40314-020-1083-2.
32. Serdar, E. and Naim, C. "Fuzzy parameterized fuzzy soft matrices and their application in decisionmaking", Isik Univesity Press, 10(4), pp. 1105-1115 (2020).
33. Klement, E.P., Mesiar, R., and Pap, E. "Triangular norms. kluwer academic publishers", 8, Dordrecht (2000).
34. Klement, E.P., Mesiar, R., and Pap, E. "Triangular norms. Position paper I: Basic analytical and algebraic properties", Fuzzy Sets and Systems, 143, pp. 5-26 (2004). DOI: 10.1016/j.fss.2003.06.007.
35. Ali, Z., Mahmood, T., and Yang, M.S. "TOPSIS method based on complex spherical fuzzy sets with bonferroni mean operators", Mathematic, 8(1739), p. 1739 (2020). DOI: 10.3390/math8101739.
36. Ali, Z., Mahmood, T., and Yang, M.S. "Complex Tspherical fuzzy aggregation operators with application to multi-attribute decision making", Symmetry MDPI AG, 12(8), p. 1311 (2020). 10.3390/sym12081311.