Abstract
Evacuation during emergencies relies on transporting the maximum number of potentially affected people from hazard areas to the safe destinations are becoming more and more popular. However, hard computing approaches to solving these problems have limited capabilities due to such factors as complexity of the problems, environmental factors, human behavior. Uncertainty and fuzziness incorporated into emergency evacuation strategies require fuzzy emergency problem statements and decision-making. Another problem researchers tackle during emergency response is transporting potential victims by the path of the minimum time in a dynamic network, whose arc traversal time can vary because of blocking of hallways with fire. This article integrates flow approaches in transportation networks and hesitant fuzzy decision-making to move the maximum possible number of potential victims to the safe destination in shortest time. On order to determine the priority list in which the aggrieved must be transported to the sink, tools of multi-attribute decision making are used. Hesitant fuzzy ELECTRE method is applied find the ranks of intermediate nodes for transportation the potential victims. The goal of the designed method is to shift the potential victims from the dangerous source nodes to the safe sinks which have various levels of priority based on different attributes such as level of reachability, capacity of destination nodes, reliability and affordability. A case study illustrates the designed algorithm.
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References
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Xu, Z., Cai, X.: Intuitionistic Fuzzy Information Aggregation: Theory and Applications. Science Press, Springer (2012)
Hu, Z.: Hesitant Fuzzy Sets Theory. Studies in Fuzziness and Soft Computing (2014)
Benayoun, R., Roy, B., Sussman, B.: ELECTRE: Une méthode pour guider le choix en présence de points de vue multiples. Note de Travail 49, SEMA-METRA International, Direction Scientifique (1966)
Roy, B.: The outranking approach and the foundation of ELECTRE methods. Theor. Decis. 31, 49–73 (1991)
Kaya, T., Kahraman, C.: An integrated fuzzy AHP–ELECTRE methodology for environmental impact assessment. Expert Syst. Appl. 38, 8553–8562 (2011)
Wu, M.C., Chen, T.Y.: The ELECTRE multicriteria analysis approach based on Atanassov’s intuitionistic fuzzy sets. Expert Syst. Appl. 38, 12318–12327 (2011)
Vahdani, B., Jabbari, A.H.K., Roshanaei, V., Zandieh, M.: Extension of the ELECTRE method for decision-making problems with interval weights and data. Int. J. Adv. Manufact. Technol. 50, 793–800 (2010)
Torra, V., Narukawa, Y.: On hesitant fuzzy sets and decision. In: The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, pp. 1378–1382 (2009)
Chen, N., Xu, Z.S., Xia, M.M.: The ELECTRE I multi-criteria decision making method based on hesitant fuzzy sets. Int. J. Inf. Technol. Decis. Mak. 14(3), 621–657 (2015)
Gerasimenko, E., Kureichik, V.: Hesitant Fuzzy emergency decision-making for the maximum flow finding with intermediate storage at nodes. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A.C., Sari, I.U. (eds.) INFUS 2021. LNNS, vol. 307, pp. 705–713. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-85626-7_82
Kacprzyk, J., Bozhenyuk, A., Gerasimenko, E.: Maximum dynamic evacuation modelling in networks in fuzzy conditions with partial lane reversal. LNNS, vol. 610, pp. 16–24 (2023). https://doi.org/10.1007/978-3-031-25252-5_8
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The research was funded by the Russian Science Foundation Project No. 22–71-10121, https://rscf.ru/en/project/22-71-10121/ implemented by the Southern Federal University.
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Gerasimenko, E., Bozhenyuk, A., Gorbachev, S. (2023). An Integrated Fuzzy Decision-Making Approach to Emergency Evacuation Based on HF ELECTRE. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 759. Springer, Cham. https://doi.org/10.1007/978-3-031-39777-6_37
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