| Autor: |
GERASIMENKO, EVGENIYA M., BOZHENYUK, ALEXANDER V. |
| Předmět: |
|
| Zdroj: |
Journal of Multiple-Valued Logic & Soft Computing; 2024, Vol. 43 Issue 4-6, p453-471, 19p |
| Abstrakt: |
Tasks of emergency evacuation based 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 decisionmaking. 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 due to the blocking of corridors with fire or smoke. This article integrates flow approaches in transportation networks and hesitant fuzzy decision-making to transport the maximum number of potential aggrieved to the safe destination in shortest time. Multi-attribute decision making is applied to find the order in which aggrieved must be transported to the sink. Hesitant fuzzy ELECTRE method is applied to find the ranks of intermediate nodes for transportation the potential victims. The purpose of the proposed algorithm is to shift the maximum possible number of aggrieved from origins to destinations that have different levels of priority due to the level of reachability, capacity of destination nodes, reliability (security) and affordability. A case study is conducted to illustrate the proposed algorithm. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
