References
[1] Zadeh L.A. “Fuzzy Sets”, Information and Control, 8(3), pp. 338-353 (1965).
[2] Atanassov K.T.“Intuitionistic fuzzy sets”, Fuzzy Sets and Systems, 20, pp. 87-96 (1986).
[3] Yager, R.R. “Pythagorean fuzzy subsets”. In: Proceedings of Joint IFSA World Congress
and NAFIPS Annual Meeting, Edmonton, Canada, pp. 57-1 (2013).
[4] Peng, X., & Selvachandran, G. “Pythagorean fuzzy set: state of the art and future directions”, Artificial Intelligence Review, 52(3), pp. 1873-1927 (2019).
[5] Cuong, B.C. “Picture fuzzy sets first results. Part 1, in preprint of seminar on neuro-fuzzy
systems with applications”, Institute of Mathematics, Hanoi, (2013).
[6] Mahmood, T.; Kifayat, U.; Khan, Q.; Jan, N. “An approach toward decision-making and
medical diagnosis problems using the concept of spherical fuzzy sets”, Neural Computing
and Applications, https://doi.org/10.1007/s00521-018-3521-2 (2018).
[7] Kifayat, U., Mahmood, T. and Jan, N. “Similarity Measures for T-spherical Fuzzy Sets
with Applications in Pattern Recognition”, Symmetry, 10(6), pp. 193 (2018).
[8] Garg, H., Munir, M., Ullah, K., Mahmood, T., Jan, N. “Algorithm for T-Spherical Fuzzy
Multi-Attribute Decision Making Based on Improved Interactive Aggregation Operators”,
Symmetry, 10, pp. 670 (2018).
[9] Liu, P., Khan, Q., Mahmood, T., Hassan, N. “T-Spherical Fuzzy Power Muirhead Mean
Operator Based on Novel Operational Laws and Their Application in Multi-Attribute Group
Decision Making”, IEEE Access, 7, pp. 22613-22632 (2019).
[10] Jin, H., Ashraf, S., Abdullah, S., Qiyas, M., Bano, M., Zeng, S. “Linguistic Spherical
Fuzzy Aggregation Operators and Their Applications in Multi-Attribute Decision Making
Problems”, Mathematics, 7, pp. 413 (2019).
[11] Guleria, A. and Bajaj, R.K. “Eigen spherical Fuzzy Sets and its Application in Decision
Making”, Scientia Iranica (2019).
[12] Molodstov, D.A. “Soft set theory-first result”, Computers and Mathematics with Application, 27, pp. 19-31 (1999).
21
[13] Maji, P.K., Biswas, R., Roy, A.R. “Intuitionistic fuzzy soft sets”. Journal of fuzzy mathematics, 9, pp. 677-692 (2001).
[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).
[15] Maji, P.K., Biswas, R., and Roy, A.R. “Soft Set Theory”, Computers and Mathematics
with Applications, 45, pp. 555-562 (2003).
[16] Peng, X., Yang, Y., Song, J., Jiang, Y. “Pythagorean Fuzzy Soft Set and Its Application”,
Computer Engineering, 41, pp. 224-229 (2015).
[17] Wang, L., & 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).
[18] Guleria, A. and Bajaj, R.K. “T-spherical Fuzzy Soft Sets and its Aggregation Operators
with Application in Decision Making”, Scientia Iranica. [doi: 10.24200/sci.2019.53027.3018]
(2019).
[19] Naim, C., Serdar, E. “Soft matrix theory and its decision-making”, Computers and Mathematics with Applications, 59, pp. 3308-3314 (2010).
[20] Yong, Y., Chenli, J. “Fuzzy Soft Matrices and their Applications”, Lecture notes in computer Science, 7002, pp. 618-627 (2011).
[21] Chetia B., Das P.K. “Some results of Intuitionistic fuzzy soft matrix theory”, Advances in
Applied Science Research, 3, pp. 412-423 (2012).
[22] Yang, Y., Liang, C., Ji, S., Liu, T. “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).
[23] Kamaci H. “Similarity measure for soft matrices and its applications”, Journal of Intelligent & Fuzzy Systems, 36(4), pp. 3061-3072 (2019).
[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).
[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).
[26] Wu, M. Q., Chen, T. Y., & Fan, J. P. “Divergence measure of T-spherical fuzzy sets and
its applications in pattern recognition”, IEEE Access, 8, pp. 10208-10221 (2019).
[27] Chen, Y., Munir, M., Mahmood, T., Hussain, A., & Zeng, S. “Some Generalized TSpherical and Group-Generalized Fuzzy Geometric Aggregation Operators with Application
in MADM Problems”, Journal of Mathematics, 2021 (2021).
[28] Garg, H.; Ullah, K.; Mahmood, T.; Hassan, N.; & Jan, N. “T-spherical fuzzy power
aggregation operators and their applications in multi-attribute decision making”, Journal
of Ambient Intelligence and Humanized Computing, pp. 1-14 (2021).
[29] Cagman, N., & Enginoglu, S. “Fuzzy soft matrix theory and its application in decision
making”, Iranian Journal of Fuzzy Systems, 9(1), pp. 109-119 (2012).
22
[30] Broumi, S., Smarandache, F., & Dhar, M. “On fuzzy soft matrix based on reference
function”, IJ Information Engineering and Electronic Business, 2, pp.52 (2013).
[31] Petchimuthu, S., Garg, H., Kamaci, H., & Atagun, A. O. “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).
[32] Serdar, E., & Naim, C. “Fuzzy parameterized fuzzy soft matrices and their application in
decision-making”, Isik Univesity press, 10(4),pp. 1105-1115 (2020).
[33] Klement E.P., Mesiar R., Pap E. “Triangular norms. Kluwer Academic Publishers”, Dordrecht (2000).
[34] Klement E.P., Mesiar R., Pap E. “Triangular norms. Position paper I: basic analytical and
algebraic properties”, Fuzzy Sets and Systems, 143, pp. 5-26 (2004).
[35] Ali, Z., Mahmood, T., and Yang, M.S. ”TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators”, Mathematic, 8(1739), pp. 1739, DOI:
10.3390/math8101739 (2020).
[36] Ali, Z., Mahmood, T., Yang, M.S. “Complex T-Spherical Fuzzy Aggregation Operators
with Application to Multi-Attribute Decision Making”, Symmetry MDPI AG, 12(8),pp.1311
(2020).