Decision-making information technologies for the resources determination of forest fire extinguishing by aviation
DOI:
https://doi.org/10.32347/2411-4049.2023.2.109-123Keywords:
AHP, ANP, acceptable vote, visualization, graphs, ecological safetyAbstract
The article proposes a solution to the scientific and applied problem of decision support automation in case of determined resource provision of civil defense forces for extinguishing forest fires. This topic is of great relevance both in peacetime and in the conditions of the current armed aggression of the Russian Federation against Ukraine. The solved task is an important element of resolution the more complex problem of prompt response to emergency situations in the ecological and technogenic spheres. To solve this problem, a software environment for automated decision-making support by experts is proposed based on the integration method, which provides structuring of data, support of expert judgments, and visualization of decision-making processes. The functionality of this software environment is considered on the example of the use of the integration expert method and relevant information technologies to determine the resources of aviation groups for the purpose of forming a plan of operational response to the elimination of forest fires. A hierarchical model of the problem is given in accordance with AHP requirements. Also, in order to increase the effect of the conducted modeling and ranking of alternatives, the use of a network model of the problem and ANP application (which is a AHP development) to support decision-making are proposed. The ANP implementation is illustrated using the freely distributed SuperDecisions software. The developed scientific and practical approaches and toolkit are intended for functioning in operational units of the state service for emergency situations, but they can also be used in other power structures. The obtained results are aimed at increasing the level of environmental safety in forest areas and can be used to support nature management in different regions.
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