M. Akram, C. Kahraman, K. Zahid, Group decision-making based on complex spherical fuzzy VIKOR approach, Knowledge-Based Systems, 216 (2021), 106793.
 K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20(1) (1986), 87-96.
 K. T. Atanassov, Geometrical interpretation of the elements of the intuitionistic fuzzy objects, International Journal of Bio-Automation, 20 (2016), S27-S42.
 G. Beliakov, H. Bustince, D. P. Goswami, U. K. Mukherjee, N. R. Pal, On averaging operators for Atanassov’s intuitionistic fuzzy sets, Information Sciences, 181 (2011), 1116-1124.
 T. Y. Chen, Novel generalized distance measure of Pythagorean fuzzy sets and a compromise approach for multiple criteria decision analysis under uncertainty, IEEE Access, 7 (2019), 58168-58185.
 B. C. Cuong, Picture fuzzy sets, Journal of Computer Science and Cybernetics, 30(4) (2013), 409-420.
 D. W. Detemple, J. M. Robertson, On generalized symmetric means of two variables, Publikacije Elektrotehniaíkogfak ulteta, Serija Matematikaifizika, 634(677) (1979), 236-238.
 M. Deveci, L. Eriskin, M. Karatas, A survey on recent applications of Pythagorean fuzzy sets: A state-of-the-art between 2013 and 2020, in: H. Garg (Ed.), Pythagorean Fuzzy Sets: Theory and Applications, Springer, (2021), 3-38.
 H. Dinçer, S. Yuksel, A. Mikhaylov, S. E. Barykin, T. Aksoy, U. Hacioglu, Analysis of environmental priorities for green project investments using an integrated q-rung orthopair fuzzy modeling, IEEE Access, 10 (2022), 50996- 51007.
 P. A. Ejegwa, J. M. Agbetayo, Similarity-distance decision-making technique and its applications via intuitionistic fuzzy pairs, Journal of Computational and Cognitive Engineering, (2022), DOI:10.47852/
 H. Garg, Some picture fuzzy aggregation operators and their applications to multicriteria decision-making, Arabian Journal for Science and Engineering, 42(12) (2017), 5275-5290.
 H. Garg, M. Munir, K. Ullah, T. Mahmood, N. Jan, Algorithm for T-spherical fuzzy multi-attribute decision making based on improved interactive aggregation operators, Symmetry, 10(12) (2018), 670.
 H. Garg, K. Ullah, T. Mahmood, N. Hassan, N. Jan, T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making, Journal of Ambient Intelligence and Humanized Computing, 12 (2021), 9067-9080.
 A. Guleria, R. K. Bajaj, T-spherical fuzzy soft sets and its aggregation operators with application in decision making, Scientia Iranica, 28(2) (2021), 1014-1029.
 Y. Ju, Y. Liang, C. Luo, P. Dong, E. D. Gonzalez, A. Wang, T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information, Soft Computing, 25(4) (2021), 2981-3001.
 F. Karaaslan, M. A. D. Dawood, Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making, Complex and Intelligent Systems, 7(5) (2021), 2711-2734.
 R. Khan, K. Ullah, D. Pamucar, M. Bari, Performance measure using a multi-attribute decision making approach based on complex T-spherical fuzzy power aggregation operators, Journal of Computational and Cognitive Engineering, 1(3) (2022), 138-146.
 M. Lin, X. Li, R. Chen, H. Fujita, J. Lin, Picture fuzzy interactional partitioned Heronian mean aggregation operators: An application to MADM process, Artificial Intelligence Review, 55(2) (2022), 1171-1208.
 P. Liu, Q. Khan, T. Mahmood, N. Hassan, T-spherical fuzzy power Muirhead mean operator based on novel operational laws and their application in multi-attribute group decision making, IEEE Access, 7 (2019), 22613- 22632.
 D. Liu, D. Peng, Z. Liu, The distance measures between q-rung orthopair hesitant fuzzy sets and their application in multiple criteria decisions making, International Journal of Intelligent Systems, 34(9) (2019), 2104-2121.
 Z. Liu, S. Wang, P. Liu, Multiple attribute group decision making based on q-rung orthopair fuzzy Heronian mean operators, International Journal of Intelligent Systems, 33(12) (2018), 2341-2363.
 C. Maclaurin, A second letter to Martin Folkes, Esq.; concerning the roots of equations, with demonstration of other rules of algebra, Philos Trans Roy Soc London Ser A, 36 (1729), 59-96.
 T. Mahmood, Z. Ali, Prioritized Muirhead mean aggregation operators under the complex single-valued neutrosophic settings and their application in multi-attribute decision making, Journal of Computational and Cognitive Engineering, 1(2) (2022), 56-73.
 T. Mahmood, K. Ullah, Q. Khan, N. Jan, An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets, Neural Computing and Applications, 31(11) (2019), 7041-7053.
 E. Ozceylan, B. Ozkan, M. Kabak, M. Dagdeviren, A state-of-the-art survey on spherical fuzzy sets, Journal of Intelligent and Fuzzy Systems, 42(1) (2022), 195-212.  X. Peng, G. Selvachandran, Pythagorean fuzzy set: State of the art and future directions, Artificial Intelligence Review, 52 (2019), 1873-1927.
 X. Peng, Y. Yang, Some results for Pythagorean fuzzy sets, International Journal of Intelligent Systems, 30(11) (2015), 1133-1160.
 J. Qin, X. Liu, An approach to intuitionistic fuzzy multiple attribute decision making based on Maclaurin symmetric mean operators, Journal of Intelligent and Fuzzy Systems, 27(5) (2014), 2177-2190.
 M. Riyahi, A. Borumand Saeid, M. Kuchaki Rafsanjani. Improved q-rung orthopair and T-spherical fuzzy sets, Iranian Journal of Fuzzy Systems, 19(3) (2022), 155-170.
 M. R. Seikh, U. Mandal, Some picture fuzzy aggregation operators based on Frank t-norm and t-conorm: Application to MADM process, Informatica, 45(3) (2021), DOI:10.31449/inf.v45i3.3025.
 X. Shen, S. Sakhi, K. Ullah, M. N. Abid, Y. Jin. Information measures based on T-spherical fuzzy sets and their applications in decision making and pattern recognition, Axioms, 11(7) (2022), 302.
 S. Singh, A. H. Ganie. Some novel q-rung orthopair fuzzy correlation coefficients based on the statistical viewpoint with their applications, Journal of Ambient Intelligence and Humanized Computing, 13(4) (2022), 2227-2252.
 C. Tian, J. J. Peng, Z. Q. Zhang, J. Q. Wang, M. Goh, An extended picture fuzzy MULTIMOORA method based on Schweizer-Sklar aggregation operators, Soft Computing, (2022), 1-20.
 K. Ullah, Picture fuzzy maclaurin symmetric mean operators and their applications in solving multiattribute decision-making problems, Mathematical Problems in Engineering, 2021 (2021), DOI:10.1155/2021/1098631.
 K. Ullah, T. Mahmood, H. Garg, Evaluation of the performance of search and rescue robots using T-spherical fuzzy Hamacher aggregation operators, International Journal of Fuzzy Systems, 22(2) (2020), 570-582.
 G. Wei, M. Lu, Pythagorean fuzzy Maclaurin symmetric mean operators in multiple attribute decision making, International Journal of Intelligent Systems, 33(5) (2018), 1043-1070.
 G. Wei, C. Wei, J. Wang, H. Gao, Y. Wei, Some q-rung orthopair fuzzy Maclauring symmetric mean operators and their applications to potential evaluation of emerging technology commercialization, International Journal of Intelligent Systems, 34(1) (2019), 50-81.
 S. Xian, Y. Cheng, K. Chen, A novel weighted spatial T-spherical fuzzy C-means algorithms with bias correction for image segmentation, International Journal of Intelligent Systems, 37(2) (2022), 1239-1272.
 R. R. Yager, Pythagorean fuzzy subsets, In Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS) IEEE, (2013), 57-61.
 R. R. Yager, Generalized orthopair fuzzy sets, IEEE Transactions on Fuzzy Systems, 25(5) (2016), 1222-1230.
 L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353.