UDC 004.89
CSCSTI 28.23
Emergency situations are a serious problem of modern society, as there are no universal solutions applicable in all subject areas. In these circumstances, it is advisable to use methods based on the accumulation, analysis and extraction of useful and practically applicable knowledge to solve emergency situations. One of these is the Case-Based Reasoning (CBR) method. It allows you to solve a new, unknown problem by applying or adapting a previously used solution. The implementation of the CBR analysis method based on geographic information systems (GIS) will allow more efficient accumulation of information about use cases. GIS has the ability not only to visualize information about use cases, but also to determine the degree of proximity of use cases based on a common topology. The purpose of this article is to develop a model for emergency cartographic analysis based on a case-based approach. A situational approach has been chosen as an approach to organizing decision support. The advantages of the proposed model are the analysis and comparison of spatial characteristics along with attributive ones, spatial contextualization, integration of various data sources, as well as the ability to make decisions in conditions of uncertainty. The developed model was used as an example of the task of choosing a safe automobile route. With the help of QGIS, a study of the territory along the routes was conducted and potential accident sites were identified.
geoinformation modeling, case-based reasoning, decision-making in conditions of uncertainty, emergency analysis
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