Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking interpreter technique under single valued bipolar neutrosophic environment
Tài liệu tham khảo
Abdelwahab, 2021, A novel vaccine selection decision-making model (VSDMM) for COVID-19, Vaccines, 9, 1, 10.3390/vaccines9070718
Akramy, 2019, Ranking of trapezoidal bipolar fuzzy information system based on total ordering, Applied Mathematics E-Notes, 19, 292
Albahri, 2020, Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods, Computer Methods and Programs in Biomedicine, 196, 78, 10.1016/j.cmpb.2020.105617
Albu, 2019, Results and challenges of artificial neural networks used for decision-making and control in medical applications, Facta Universitatis. Series: Mechanical Engineering, 17, 285, 10.22190/FUME190327035A
Alghamdi, 2018, Multi-criteria decision-making methods in bipolar fuzzy environment, International Journal of Fuzzy System, 18, 1
Alkan, 2020, Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method, Applied Soft Computing, 110
Alkan, 2021, Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method, Applied Soft Computing, 110, 10.1016/j.asoc.2021.107653
Anderson, 2020, How will country-based mitigation measures influence the course of the COVID-19 epidemic?, Lancet, 395, 931, 10.1016/S0140-6736(20)30567-5
Apolloni, 2021, Inferring statistical trends of the COVID-19 pandemic from current data. Where probability meets fuzziness, Information Sciences, 574, 333, 10.1016/j.ins.2021.06.011
Atanassov, 1986, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 87, 10.1016/S0165-0114(86)80034-3
Biswas, 2016, A index based ranking method of single valued trapezoidal neutrosophic numbers and its application to multi-attribute decision making, Neutrosophic Sets and Systems, 12, 127
Carli, 2020, Model predictive control to mitigate the COVID-19 outbreak in a multi-region scenario, Annual Reviews in Control, 50, 373, 10.1016/j.arcontrol.2020.09.005
Chakraborty, 2019, Disjunctive representation of triangular bipolar neutrosophic numbers, de-bipolarization technique and application in multi-criteria decision-making problems, Symmetry, 11, 9, 10.3390/sym11070932
Chen, 2014, M-polar fuzzy sets: An extension of bipolar fuzzy sets, The Scientific World Journal, 2014, 1
Chen, 2020, Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study, Lancet, 395, 507, 10.1016/S0140-6736(20)30211-7
Chiao, 2021, Multi-criteria decision making with interval type 2 fuzzy Bonferroni mean, Expert Systems with Applications, 176, 10.1016/j.eswa.2021.114789
Deli, I., Ali, M., & Smarandache, F. (2015). Bipolar neutrosophic sets and their application based on multi-criteria decision making problems. In Proceedings of the 2015 international conference on advanced mechatronic systems (pp. 22–24). Beijing, China.
Deli, 2017, A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems, International Journal of Machine Learning and Cybernetics, 8, 1309, 10.1007/s13042-016-0505-3
Deng, 2021, Humanitarian rescue scheme selection under the Covid-19 crisis in China: Based on group decision-making method, Symmetry, 13, 1, 10.3390/sym13040668
Dey, 2016, TOPSIS for solving multi-attribute decision making problems under bipolar neutrosophic environment, 65
Dong, 2015, Trapezoidal intuitionistic fuzzy prioritized aggregation operators and application to multi-attribute decision making, Iranian Journal of Fuzzy Systems, 12, 1
Ebrahim, 2020, COVID-19 and community mitigation strategies in a pandemic, BMJ, 36, 8
Fang, 2020, Transmission dynamics of the COVID-19 outbreak and effectiveness of government interventions: A data-driven analysis, Journal of Medical Virology, 93, 1
Garai, 2020, Possibility mean variance and standard deviation of single valued neutrosophic numbers and its applications to multi-attribute decision making problems, Soft Computing, 24, 18795, 10.1007/s00500-020-05112-2
Garai, 2021, Possibilistic multi-attribute decision making for water resource management problem under single valued bipolar neutrosophic environment, International Journal of Intelligent Systems, 38, 1
Garai, 2020, A ranking method based on possibility mean for multi-attribute decision making with single valued neutrosophic numbers, Journal of Ambient Intelligence and Humanized Computing, 11, 5245, 10.1007/s12652-020-01853-y
Ghanbari, 2018, A direct method to compare bipolar LR fuzzy numbers, Advances in Fuzzy Systems, 2018, 1, 10.1155/2018/9578270
Giordano, 2020, Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy, Nature Medicine, 26, 855, 10.1038/s41591-020-0883-7
Goel, 2021, Effects of the COVID-19 pandemic in India: An analysis of policy and technological interventions, Health Policy and Technology, 10, 151, 10.1016/j.hlpt.2020.12.001
Hedrea, 2021, Tensor product-based model transformation approach to tower crane systems modeling, Asian Journal Control, 2021, 1
Hezam, 2021, COVID-19 vaccine: A neutrosophic MCDM approach for determining the priority groups, Results in Physics, 20, 10.1016/j.rinp.2020.103654
Jeong, 2010, Accurate machine-learning-based on-chip router modelling, IEEE Embedded Systems Letters, 2, 62, 10.1109/LES.2010.2051413
Kwak, 2021, Fuzzy modus ponens and tollens based on moving distance in siso fuzzy system, Romanian Journal of Information Science and Technology, 24, 257
Majumder, 2020, Application of new TOPSIS approach to identify the most significant risk factor and continuous monitoring of death of COVID-19, Electronic Journal of General Medicine, 17, 514, 10.29333/ejgm/7904
Meena Kumari, 2022, Bipolar single valued neutrosophic approach to multi criteria decision making problem, Advances and Applications in Mathematical Sciences, 21, 3265
Mohammed, 2020, Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS method, IEEE Access, 8, 99115, 10.1109/ACCESS.2020.2995597
Ouyang, 2021, A novel framework of collaborative early warning for COVID-19 based on block-chain and smart contracts, Information Sciences, 570, 124, 10.1016/j.ins.2021.04.021
Pamucar, 2021, Development of a multi-criteria model for sustainable reorganization of a healthcare system in an emergency situation caused by the COVID-19 pandemic, Sustainability, 12, 1
Pare, 2020, Modeling, estimation, and analysis of epidemics over networks: An overview, Annual Reviews in Control, 50, 345, 10.1016/j.arcontrol.2020.09.003
Petersen, 2020, Advancing COVID-19 vaccines avoiding different regulatory standards for different vaccines and need for open and transparent data sharing, International Journal of Infectious Diseases, 98, 501, 10.1016/j.ijid.2020.08.043
Precup, 2021, Evolving fuzzy models of shape memory alloy wire actuators, Romanian Journal of Information Science and Technology, 24, 353
Precup, 2012, Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems, Expert Systems with Applications, 40, 188, 10.1016/j.eswa.2012.07.023
Princy, 2019, An application of neutrosophic bipolar vague on multi-criteria decision making problems, International Journal of Research in Advent Technology, 7, 1
Rahimi, 2021, A review on COVID-19 forecasting models, Neural Computer Application, 6, 1
Requia, 2020, Risk of the Brazilian health care system over 5572 municipalities to exceed health care capacity due to the 2019 novel coronavirus (COVID-19), Science of the Total Environment, 730, 412, 10.1016/j.scitotenv.2020.139144
Riaz, 2020, Multi-criteria decision making based on bipolar picture fuzzy operators and new distance measures, CMES. Computer Modeling in Engineering & Sciences, 127, 771, 10.32604/cmes.2021.014174
Sarwar, 2021, Measuring vaccination willingness in response to COVID-19 using a multi-criteria-decision making method, Human Vaccines & Immunotherapeutics, 17, 4865, 10.1080/21645515.2021.2004836
Smarandache, 1999
Wan, 2017, A method for multi-attribute group decision-making with triangular intuitionistic fuzzy numbers application to trustworthy service selection, Scientia Iranica Transactions E: Industrial Engineering, 24, 794, 10.24200/sci.2017.4062
Wang, 2010, Single valued neutrosophic sets, Multi-Space and Multi-Structure, 4, 410
WHO, 2020
Yang, 2020, Decision support algorithm for selecting an antivirus mask over COVID-19 pandemic under spherical normal fuzzy environment, International Journal Environment Research Public Health, 17, 1
Yazdani, 2021, An interval valued neutrosophic decision-making structure for sustainable supplier selection, Expert Systems with Applications, 183, 10.1016/j.eswa.2021.115354
Yildirim, 2021, Comparative evaluation of the treatment of COVID-19 with multi criteria decision making techniques, Journal of Healthcare Engineering, 2021, 1, 10.1155/2021/8864522
Zadeh, 1965, Fuzzy sets, Information and Control, 8, 338, 10.1016/S0019-9958(65)90241-X
Zakeri, 2021, Ranking based on optimal points and win-loss-draw multi-criteria decision-making with application to supplier evaluation problem, Expert Systems with Applications, 191
Zeng, 2014, A value and ambiguity-based ranking method of trapezoidal intuitionistic fuzzy numbers and application to decision making, The Scientific World Journal, 2014, 1, 10.1155/2014/594579
Zhang, 1998, Bipolar fuzzy sets, IEEE International Conference on Fuzzy Systems, 1, 835