Information processing for the decision support system for fire monitoring of forest areas

The purpose of our study was to formulate provisions for obtaining an integral assessment characterizing the rating of forest areas in terms of fire hazard. We obtained this estimate based on the aggregation of many parameters characterizing climatic conditions and factors that take into account anthropogenic influence in a given area of the forest. Considering the heterogeneity of such parameters, we used the methods of fuzzy inference and the theory of fuzzy sets to aggregate them. The complex for determining the assessment of the forest area is implemented in the form of a hierarchical fuzzy inference system. We investigated the process of functioning of the formed complex and found that its output pattern is predominantly stepwise. This result makes it possible to classify the analyzed forest areas into states groups. Further studies of the classes of states formed by us by the methods of cluster analysis make it possible to identify areas with similar characteristics. The use of the classification results makes it possible to rank forest areas according to the order of preventive or preparatory measures to reduce fire hazard or increase responsiveness in case of a fire. The results obtained by us are aimed at using in decision support systems for the management of forests and other types of adjacent territories.