A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02909-y.pdf
Reference215 articles.
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2. Larrucea X, Moffie M, Asaf S, Santamaria I (2020) Towards a GDPR compliant way to secure European cross border Healthcare Industry 4.0. Comput Stand Interfaces 69:103408. https://doi.org/10.1016/j.csi.2019.103408
3. Wang H, Xu ZS, Fujita H, Liu SS (2016) Towards felicitous decision making: an overview on challenges and trends of Big Data. Inf Sci 367:747–765. https://doi.org/10.1016/j.ins.2016.07.007
4. Ren ZY, Liao HC, Liu YX (2020) Generalized Z-numbers with hesitant fuzzy linguistic information and its application to medicine selection for the patients with mild symptoms of the COVID-19. Comput Ind Eng 145:9. https://doi.org/10.1016/j.cie.2020.106517
5. Liao HC, Mi XM, Yu Q, Luo L (2019) Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. J Clean Prod 232:657–671. https://doi.org/10.1016/j.jclepro.2019.05.308
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