Volume 23 , Issue 4 , PP: 41-62, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Heba R. Abdelhady 1 , Shereen Zaki 2 , Mahmoud M. Ismail 3 * , Mohamed Emad 4 , Shimaa Said 5
Doi: https://doi.org/10.54216/IJNS.230404
This paper proposed a framework for assessing the COVID-19 response in Egypt. COVID-19 plays a vital role in public health, and selecting the best response can decrease the impact of the disease. This study used the type 2 neutrosophic set as a framework for dealing with uncertainty. The assessment of the COVID-19 response has various conflicting criteria, so the concept of multi-criteria decision-making (MCDM) is used to deal with COVID-19 criteria. The MCDM methods are adopted with the type-2neutrosophic set—the typ-2 neutrosophic AHP-COPRAS-VIKOR methodology framework. The AHP is used to compute the criteria weights. The COPRAS and VIKOR methods are used to rank the alternatives. The case study in Egypt is conducted to show the best response to COVID-19. Five main criteria and nineteen sub-criteria are used in this paper. The methodologies employed in this paper aid as examples for future research endeavors, inspiring a continued dialogue on refining and advancing MCDM methodologies in public health disasters.
Neutrosophic Set , Covid-19 , Intervention Strategies , AHP, , VIKOR , Public Health
[1] M. D. Alshehri, "An integrated AHP MCDM based Type-2 Neutrosophic Model for Assessing the Effect of Security in Fog-based IoT Framework," International Journal of Neutrosophic Science, vol. 20, pp. 55-76, 2023.
[2] S. Kumar and S. Kumar, "A Decision-Making Problem for Selecting an optimal Antivirus Mask over COVID-19 Pandemic under Pythagorean Fuzzy Information Based on Hybrid TODIM - Inferior Ratio Method," Journal of Physics: Conference Series, vol. 2267, p. 012137, 2022.
[3] M. Ortíz-Barrios, N. Jaramillo-Rueda, M. Gul, M. Yucesan, G. Jiménez-Delgado, and J.-J. Alfaro-Saíz, "A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak," International Journal of Environmental Research and Public Health, vol. 20, p. 4591, 2023.
[4] J. Jeon, K. Suvitha, N. I. Arshad, S. Kalaiselvan, S. Narayanamoorthy, M. Ferrara, et al., "A probabilistic hesitant fuzzy MCDM approach to evaluate India’s intervention strategies against the COVID-19 pandemic," Socio-Economic Planning Sciences, p. 101711, 2023/08/30/ 2023.
[5] V. Salehi, G. Moradi, L. Omidi, and E. Rahimi, "An MCDM approach to assessing influential factors on healthcare providers’ safe performance during the COVID-19 pandemic: Probing into demographic variables," Journal of Safety Science and Resilience, vol. 4, pp. 274-283, 2023.
[6] S. Ahmad, S. Masood, N. Z. Khan, I. A. Badruddin, Ompal, A. Ahmadian, et al., "Analysing the impact of COVID-19 pandemic on the psychological health of people using fuzzy MCDM methods," Operations Research Perspectives, vol. 10, p. 100263, 2023.
[7] G. M. Magableh and M. Z. Mistarihi, "Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19," Heliyon, vol. 8, p. e09062, Mar 2022.
[8] E. Cakir, M. A. Tas, and Z. Ulukan, "Neutrosophic Fuzzy Weighted Saving Heuristic for COVID-19 Vaccination," pp. 1-4, 2021.
[9] S. Paul, T. Pervez, and M. G. R. Alam, "Ranking COVID-19 Vaccines Using Fuzzy TOPSIS Method," in 2023 International Conference on Communication, Circuits, and Systems (IC3S), 2023, pp. 1-6.
[10] F. Khan, Y. Ali, and D. Pamucar, "A new fuzzy FUCOM-QFD approach for evaluating strategies to enhance the resilience of the healthcare sector to combat the COVID-19 pandemic," Kybernetes, vol. 51, pp. 1429-1451, 2021.
[11] S. Ghosh and M. Bhattacharya, "Analyzing the impact of COVID-19 on the financial performance of the hospitality and tourism industries: an ensemble MCDM approach in the Indian context," International Journal of Contemporary Hospitality Management, vol. 34, pp. 3113-3142, 2022.
[12] M. Abdel-Basset, M. Saleh, A. Gamal, and F. Smarandache, "An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number," Applied Soft Computing, vol. 77, pp. 438-452, 2019.
[13] J. J. Thakkar, "Complex Proportion Assessment Method (COPRAS)," in Multi-Criteria Decision Making, J. J. Thakkar, Ed., ed Singapore: Springer Singapore, 2021, pp. 219-237.
[14] R. Krishankumar, H. Garg, K. Arun, A. Saha, K. S. Ravichandran, and S. Kar, "An integrated decision-making COPRAS approach to probabilistic hesitant fuzzy set information," Complex & Intelligent Systems, vol. 7, pp. 2281-2298, 2021/10/01 2021.
[15] A. Alinezhad and J. Khalili, "COPRAS Method," in New Methods and Applications in Multiple Attribute Decision Making (MADM), A. Alinezhad and J. Khalili, Eds., ed Cham: Springer International Publishing, 2019, pp. 87-91.
[16] A. Alinezhad and J. Khalili, "VIKOR Method," in New Methods and Applications in Multiple Attribute Decision Making (MADM), A. Alinezhad and J. Khalili, Eds., ed Cham: Springer International Publishing, 2019, pp. 23-27.
[17] A. H. Abdel-aziem, H. K. Mohamed, and A. Abdelhafeez, “Neutrosophic Decision Making Model for Investment Portfolios Selection and Optimizing based on Wide Variety of Investment Opportunities and Many Criteria in Market,” Neutrosophic Systems with Applications, vol. 6, pp. 32–38, 2023.
[18] A. El-Douh, S. Lu, A. Abdelhafeez, and A. Aziz, “A Neutrosophic Multi-Criteria Model for Evaluating Sustainable Soil Enhancement Methods and their Cost 2 Implications in Construction,” SMIJ, vol. 5, no. 2, p. 11, 2023.
[19] R. Mohamed and M. M. Ismail, “Harness Ambition of Soft Computing in Multi-Factors of Decision-Making Toward Sustainable Supply Chain in the Realm of Unpredictability,” Multicriteria Algorithms with Applications, vol. 2, pp. 29–42, 2024.
[20] A. Abdelhafeez, H. Mahmoud, and A. S. Aziz, “Identify the most Productive Crop to Encourage Sustainable Farming Methods in Smart Farming using Neutrosophic Environment,” Neutrosophic Systems with Applications, vol. 6, pp. 17–24, 2023.
[21] K. M. Sallam and A. W. Mohamed, “Single Valued Neutrosophic Sets for Assessment Quality of Suppliers under Uncertainty Environment,” Multicriteria Algorithms with Applications, vol. 1, no. 1, pp. 1–10, 2023.
