Fellows LK. The cognitive neuroscience of human decision making: a review and conceptual framework. Behav Cogn Neurosci Rev. 2004;3:159–72. https://doi.org/10.1177/1534582304273251.

Article  Google Scholar 

Frederick S. Cognitive reflection and decision making. J Econ Perspect. 2005;19:25–42. https://doi.org/10.1257/089533005775196732.

Article  Google Scholar 

Modha DS, Ananthanarayanan R, Esser SK, et al. Cognitive computing. Commun ACM. 2011;54:62–71. https://doi.org/10.1145/1978542.1978559.

Article  Google Scholar 

Gupta S, Kar AK, Baabdullah A, Al-Khowaiter WAA. Big data with cognitive computing: a review for the future. Int J Inf Manage. 2018;42:78–89. https://doi.org/10.1016/j.ijinfomgt.2018.06.005.

Article  Google Scholar 

Chen M, Herrera F, Hwang K. Cognitive computing: architecture, technologies and intelligent applications. IEEE Access. 2018;6:19774–83. https://doi.org/10.1109/ACCESS.2018.2791469.

Article  Google Scholar 

Wu H, Xu Z. Cognitively inspired multi-attribute decision-making methods under uncertainty: a state-of-the-art survey. Cognit Comput. 2022;14:511–30. https://doi.org/10.1007/s12559-021-09916-8.

Article  Google Scholar 

Zadeh LA. Fuzzy sets. Inf. Control. 1965;8:338–53. https://doi.org/10.1016/S0019-9958(65)90241-X.

Article  MathSciNet  Google Scholar 

Atanassov KT. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;20:87–96. https://doi.org/10.1016/S0165-0114(86)80034-3.

Article  Google Scholar 

Zhang H. Linguistic intuitionistic fuzzy sets and application in MAGDM. J Appl Math. 2014;2014:1–11. https://doi.org/10.1155/2014/432092.

Article  Google Scholar 

Yager RR (2013) Pythagorean fuzzy subsets. In: 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, pp 57–61

Yager RR, Alajlan N, Bazi Y. Aspects of generalized orthopair fuzzy sets. Int J Intell Syst. 2018;33:2154–74. https://doi.org/10.1002/int.22008.

Article  Google Scholar 

Cuong BC, Kreinovich V (2013) Picture fuzzy sets - a new concept for computational intelligence problems. In: 2013 Third World Congress on Information and Communication Technologies (WICT 2013). IEEE, pp 1–6

Ashraf S, Abdullah S, Mahmood T, et al. Spherical fuzzy sets and their applications in multi-attribute decision making problems J. Intell Fuzzy Syst. 2019;36:2829–44. https://doi.org/10.3233/JIFS-172009.

Article  Google Scholar 

Bustince H, Barrenechea E, Pagola M, et al. A historical account of types of fuzzy sets and their relationships. IEEE Trans Fuzzy Syst. 2016;24:179–94. https://doi.org/10.1109/TFUZZ.2015.2451692.

Article  Google Scholar 

Yager R, Basson D. Decision making with fuzzy sets. Decis Sci. 1975;6:590–600. https://doi.org/10.1111/j.1540-5915.1975.tb01046.x.

Article  Google Scholar 

Xu Z, Yager RR. Dynamic intuitionistic fuzzy multi-attribute decision making. Int J Approx Reason. 2008;48:246–62. https://doi.org/10.1016/j.ijar.2007.08.008.

Article  Google Scholar 

Garg H. Novel neutrality operation–based Pythagorean fuzzy geometric aggregation operators for multiple attribute group decision analysis. Int J Intell Syst. 2019;34:2459–89. https://doi.org/10.1002/int.22157.

Article  Google Scholar 

Ganie AH. Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets. Granul Comput. 2022;7:979–98. https://doi.org/10.1007/s41066-021-00309-8.

Article  Google Scholar 

Zhou Y, Ejegwa PA, Johnny SE. Generalized similarity operator for intuitionistic fuzzy sets and its applications based on recognition principle and multiple criteria decision making technique. Int J Comput Intell Syst. 2023;16:85. https://doi.org/10.1007/s44196-023-00245-2.

Article  Google Scholar 

Ejegwa PA, Ahemen S. Enhanced intuitionistic fuzzy similarity operators with applications in emergency management and pattern recognition. Granul Comput. 2023;8:361–72. https://doi.org/10.1007/s41066-022-00334-1.

Article  Google Scholar 

Li R, Ejegwa PA, Li K, et al. A new similarity function for Pythagorean fuzzy sets with application in football analysis. AIMS Math. 2024;9:4990–5014. https://doi.org/10.3934/math.2024242.

Article  Google Scholar 

Ejegwa PA. New similarity measures for Pythagorean fuzzy sets with applications. Int J Fuzzy Comput Model. 2020;3:75. https://doi.org/10.1504/IJFCM.2020.106105.

Article  MathSciNet  Google Scholar 

Jia Z, Qiao J, Chen M. On similarity measures between pythagorean fuzzy sets derived from overlap and grouping functions. Int J Fuzzy Syst. 2023;25:2380–96. https://doi.org/10.1007/s40815-023-01515-z.

Article  Google Scholar 

Yager RR. Generalized orthopair fuzzy sets. IEEE Trans Fuzzy Syst. 2017;25:1222–30. https://doi.org/10.1109/TFUZZ.2016.2604005.

Article  Google Scholar 

Ejegwa PA. New q-rung orthopair fuzzy distance-similarity operators with applications in investment analysis, pattern recognition, clustering analysis, and selection of robot for smart manufacturing. Soft Comput. 2023. https://doi.org/10.1007/s00500-023-08799-1.

Article  Google Scholar 

Haq IU, Shaheen T, Ali W, et al. Novel Fermatean fuzzy Aczel-Alsina model for investment strategy selection. Mathematics. 2023;11:3211. https://doi.org/10.3390/math11143211.

Article  Google Scholar 

Ali W, Shaheen T, Haq IU, et al. Multiple-attribute decision making based on intuitionistic hesitant fuzzy connection set environment. Symmetry (Basel). 2023;15:778. https://doi.org/10.3390/sym15030778.

Article  Google Scholar 

Mahmood T, Ali W, Ali Z, Chinram R (2021) Power aggregation operators and similarity measures based on improved intuitionistic hesitant fuzzy sets and their applications to multiple attribute decision making. Comput Model Eng Sci 126:1165–1187. https://doi.org/10.32604/cmes.2021.014393

Radenovic S, Ali W, Shaheen T, et al (2022) Multiple attribute decision-making based on bonferroni mean operators under square root fuzzy set environment. J Comput Cogn Eng 2:236–248. https://doi.org/10.47852/bonviewJCCE2202366

Cường BC (2015) Picture fuzzy sets. J Comput Sci Cybern 30:409–420. https://doi.org/10.15625/1813-9663/30/4/5032

Singh P. Correlation coefficients for picture fuzzy sets. J Intell Fuzzy Syst. 2015;28:591–604. https://doi.org/10.3233/IFS-141338.

Article  MathSciNet  Google Scholar 

Ganie AH, Singh S, Bhatia PK. Some new correlation coefficients of picture fuzzy sets with applications. Neural Comput Appl. 2020;32:12609–25. https://doi.org/10.1007/s00521-020-04715-y.

Article  Google Scholar 

Wei G. Picture fuzzy cross-entropy for multiple attribute decision making problems J. Bus Econ Manag. 2016;17:491–502. https://doi.org/10.3846/16111699.2016.1197147.

Article  Google Scholar 

Wang C, Zhou X, Tu H, Tao S. Some geometric aggregation operators based on picture fuzzy sets and their application in multiple attribute decision making. Ital J Pure Appl Math. 2017;37:477–92.

MathSciNet  Google Scholar 

Wei G. Picture fuzzy Hamacher aggregation operators and their application to multiple attribute decision making. Fundam Informaticae. 2018;157:271–320. https://doi.org/10.3233/FI-2018-1628.

Article  MathSciNet  Google Scholar 

Dutta P. Medical diagnosis based on distance measures between picture fuzzy sets. Int J Fuzzy Syst Appl. 2018;7:15–36. https://doi.org/10.4018/IJFSA.2018100102.

Article  Google Scholar 

Son LH. Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures. Fuzzy Optim Decis Mak. 2017;16:359–78. https://doi.org/10.1007/S10700-016-9249-5/TABLES/6.

Article  MathSciNet  Google Scholar 

Zhang S, Wei G, Gao H, et al. EDAS method for multiple criteria group decision making with picture fuzzy information and its application to green suppliers selections. Technol Econ Dev Econ. 2019;25:1123–38. https://doi.org/10.3846/tede.2019.10714.

Article  Google Scholar 

Thao NX, Ali M, Nhung LT, et al. A new multi-criteria decision making algorithm for medical diagnosis and classification problems using divergence measure of picture fuzzy sets. J Intell Fuzzy Syst. 2019;37:7785–96. https://doi.org/10.3233/JIFS-182697.

Article  Google Scholar 

Jana C, Senapati T, Pal M, Yager RR. Picture fuzzy Dombi aggregation operators: application to MADM process. Appl Soft Comput. 2019;74:99–109. https://doi.org/10.1016/J.ASOC.2018.10.021.

Article  Google Scholar 

Wei G, Zhang S, Lu J, et al. An extended bidirectional projection method for picture fuzzy MAGDM and its application to safety assessment of construction project. IEEE Access. 2019;7:166138–47. https://doi.org/10.1109/ACCESS.2019.2953316.

Article  Google Scholar 

Ashraf S, Mahmood T, Abdullah S, Khan Q. Different approaches to multi-criteria group decision making problems for picture fuzzy environment. Bull Brazilian Math Soc New Ser. 2019;50:373–97. https://doi.org/10.1007/s00574-018-0103-y.

Article  MathSciNet  Google Scholar 

Son LH. Generalized picture distance measure and applications to picture fuzzy clustering. Appl Soft Comput. 2016;46:284–95. https://doi.org/10.1016/j.asoc.2016.05.009.

Article