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Fuzzy Logic, Pairwise Comparison, and Q-learning Methods to Investigate the Pandemic Infection Risk for Health Monitoring of Airports | ||
| Computational Sciences and Engineering | ||
| مقاله 9، دوره 3، شماره 1، تیر 2023، صفحه 129-142 اصل مقاله (575.79 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22124/cse.2023.25085.1061 | ||
| نویسنده | ||
| Iman Shafieenejad* | ||
| Aerospace Research Institute, Ministry of Science Research & Technolgy | ||
| چکیده | ||
| A pandemic virus infection risk in air travel by fuzzy Logic, pairwise comparison, and Q-learning methods is investigated in this study. The vastness of airports and the shortage of health monitoring devices for covering all of the airports were one of the problems of general aviation. In this way, this study proposed a risk assessment analysis to find a distribution policy to allocate the health monitoring devices based on the airports' infection risk score. In this paper, Kish Airline's transportation regarding different flight destinations is considered as a case study. Furthermore, fuzzy logic, pairwise comparison, and Q-learning methods were considered for the pandemic infection risk. Furthermore, the infection risk score related to the pandemic infection risk by Pearson correlation coefficient was investigated. Also, flight destinations located in the studied area with a higher infection risk score compared to other areas were analyzed by fuzzy logic, pairwise comparison, and Q-learning methods. Moreover, the three mentioned methods were compared and the results demonstrated that fuzzy logic overcomes the pairwise comparison and Q-learning methods for this study. Finally, results showed this study will be efficient for the next pandemic virus in general aviation. | ||
| کلیدواژه‌ها | ||
| Pandemic virus؛ Risk assessment؛ Fuzzy logic؛ Pairwise comparison؛ Q-learning | ||
| مراجع | ||
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[1] Istijanto (2021). Impacts of the COVID-19 pandemic on airline passengers’recovery satisfaction: An experimental study. Transportation Research Interdisciplinary Perspectives, 12. [2] Hu, Q., Li, X., Liu, J., & Adanu, E. K. (2021). A low-cost approach to identify hazard curvature for local road networks using open-source data. Transportation research interdisciplinary perspectives, 10, 100393. [3] W. H. O. (2019). Coronavirus disease 2019 (COVID-19): situation report, 104. [4] W. H. O. (2020). COVID-19 Weekly Epidemiological Update, [Online]. Available: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20201012-weekly-epi-update-9.pdf. [5] UNWTO. (2020). Restrictions on Travel Easing as Europe Leads Cautious Restart of Tourism, [Online]. Available: https://www.unwto.org/news/restrictions-on-travel-easing-as-europe-leads-cautious-restart-of-tourism. [6] Han, E., Tan, M. M. J., Turk, E., Sridhar, D., Leung, G. M., Shibuya, K., ... & Legido-Quigley, H. (2020). Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europe. The Lancet, 396(10261), 1525-1534. [7] Calderon-Tellez, J. A., & Herrera, M. M. (2021). Appraising the impact of air transport on the environment: Lessons from the COVID-19 pandemic. Transportation research interdisciplinary perspectives, 10, 100351. [8] JulesYimga, The airline on-time performance impacts of the COVID-19 pandemic, Transportation Research Interdisciplinary Perspectives, Volume 10, June 2021. [9] Ranney, M. L., Griffeth, V., & Jha, A. K. (2020). Critical supply shortages—the need for ventilators and personal protective equipment during the Covid-19 pandemic. New England Journal of Medicine, 382(18), e41. [10] Beetz, C., Skrahina, V., Förster, T. M., Gaber, H., Paul, J. J., Curado, F., ... & Vogel, F. (2020). Rapid large-scale COVID-19 testing during shortages. Diagnostics, 10(7), 464. [11] Craig, A. T., Heywood, A. E., & Hall, J. (2020). Risk of COVID-19 importation to the Pacific islands through global air travel. Epidemiology & Infection, 148, e71. [12] Kaffashi, A., & Jahani, F. (2020). Nowruz travelers and the COVID-19 pandemic in Iran. Infection Control & Hospital Epidemiology, 41(9), 1121-1121. [13] Nakamura, H., & Managi, S. (2020). Airport risk of importation and exportation of the COVID-19 pandemic. Transport policy, 96, 40-47. [14] Adiga, A., Venkatramanan, S., Schlitt, J., Peddireddy, A., Dickerman, A., Bura, A., ... & Barrett, C. (2020). Evaluating the impact of international airline suspensions on the early global spread of COVID-19. Medrxiv. [15] & Fleming, K. (2020). Covid-19 risk among airline passengers: Should the middle seat stay empty?. MedRxiv, 2020-07. [16] Khatib, A. N., Carvalho, A. M., Primavesi, R., To, K., & Poirier, V. (2020). Navigating the risks of flying during COVID-19: a review for safe air travel. Journal of travel medicine, 27(8), taaa212. [17] Pombal, R., Hosegood, I., & Powell, D. (2020). Risk of COVID-19 during air travel. Jama, 324(17), 1798-1798. [18] Choi, E. M., Chu, D. K., Cheng, P. K., Tsang, D. N., Peiris, M., Bausch, D. G., ... & Watson-Jones, D. (2020). In-flight transmission of SARS-CoV-2. Emerging infectious diseases, 26(11), 2713. [19] Chen, J., He, H., Cheng, W., Liu, Y., Sun, Z., Chai, C., ... & Chen, Z. (2020). Potential transmission of SARS-CoV-2 on a flight from Singapore to Hangzhou, China: an epidemiological investigation. Travel medicine and infectious disease, 36, 101816. [20] Cotfas, L. A., Delcea, C., Milne, R. J., & Salari, M. (2020). Evaluating classical airplane boarding methods considering COVID-19 flying restrictions. Symmetry, 12(7), 1087. [21] Papageorgiou, E. I., Papandrianos, N. I., Karagianni, G., Kyriazopoulos, G. C., & Sfyras, D. (2009). A fuzzy cognitive map based tool for prediction of infectious diseases. In 2009 IEEE International Conference on Fuzzy Systems, 2094-2099. [22] Siami Araghi, M., Sekhavat Benis, A., Mirzaee, A., & Fozouni Taloki, I. (2022). Optimal Path Planning for Autonomous Space Maneuvers Based on Reinforcement Q-learning and Cubic Network. Technology in Aerospace Engineering, 6(2), 1-10. [23] Rouzi, E. D., Sardari, J., Araghi, M. S., Esmaeili, A., & Zahedi, S. (2022). Fuzzy logic, neural-fuzzy network and honey bees algorithm to develop the swarm motion of aerial robots. Evolving Systems, 13(2), 319-330. [24] Shafieenejad, I., Ghasemi, S., & Siami, M. (2020). COVID-19 Infection Risk Index Estimation in Flight Destinations (case study: Kish Air destinations). International Journal of Reliability, Risk and Safety: Theory and Application, 3(2), 63-70. [25] Vlamou, E., & Papadopoulos, B. (2016). Fuzzy logic models in epidemic control. Precision Medicine, 1, 1-6. [26] Mangla, M., & Sharma, N. (2020). Fuzzy modelling of clinical and epidemiological factors for COVID-19. [27] Wauthier, F., Jordan, M., & Jojic, N. (2013). Efficient ranking from pairwise comparisons. International Conference on Machine Learning, 109-117. [28] Arrow, K. J. (2012). Social choice and individual values (Vol. 12). Yale university press. [29] Jain, A., Nandakumar, K., & Ross, A. (2005). Score normalization in multimodal biometric systems. Pattern recognition, 38(12), 2270-2285. [30] Watkins, C. J. C. H. (1989). Learning from Delayed Rewards. PhD thesis, University of Cambridge. [31] Foruzan, E., Soh, L. K., & Asgarpoor, S. (2018). Reinforcement learning approach for optimal distributed energy management in a microgrid. IEEE Transactions on Power Systems, 33(5), 5749-5758. [32] Heiets, I., & Xie, Y. (2021). The Impact of the COVID-19 Pandemic on the Aviation Industry. Journal of Aviation, 5(2), 111-126. [33] Pereira, F. C. (2021). The Impact of the Covid 19 Pandemic on European Airlines' Passenger Satisfaction (Master's thesis, ISCTE-Instituto Universitario de Lisboa (Portugal)). [34] Sun, X., Wandelt, S., Zheng, C., & Zhang, A. (2021). COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management, 94, 102062. | ||
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