No abstract

Purpose of the study: development of a new universal fuzzy-multiple methodology that allows assessing the effectiveness of reforestation based on a variable set of indicators, the significance of which is taken into account on the basis of expert assessments, in contrast to existing assessment methods. The systems of fuzzy-logical conclusions, the so-called standard multilevel [0,1] classifiers, were used as a mathematical tool for constructing the assessment methodology. As a result of the implementation of the methodology, an assessment of reforestation in the Rostov region was carried out on the basis of a set of 23 indicators characterizing the dynamics of reforestation, thinning activities, and patrolling of the forest fund in the region. In comparison with the already existing estimation methods, the proposed estimation method has a number of such advantages, such as: simple calculation scheme; when constructing estimates, taking into account a large number of heterogeneous significant indicators that can vary depending on the available statistical material and the characteristics of the specific practical problem being solved; the possibility of varying the weight of the contribution of the studied indicators to the corresponding comprehensive assessment; the possibility of analyzing on its basis the situation in the region under consideration.

The aim of the study is to develop a methodology for assessing the sustainability of agricultural production in the region based on the consideration of factors of two groups: economic and environmental. The task of the research is to develop mathematical tools that allow, based on standard multi-level fuzzy [0,1] - classifiers, to form a comprehensive assessment of the sustainability of agricultural production in the region using a set of heterogeneous ranked indicators. A method was developed that allows: 1) to form a comprehensive assessment of the intensity of agricultural production in the region based on aggregation of indicators of the level of production intensification in agriculture, as well as significant indicators of the level of economic efficiency of production intensification in agriculture for a period of n years; 2) calculate a comprehensive assessment of the impact of agricultural production on the ecology of the region based on the aggregation of indicators reflecting the dynamics of the chemical load on the ecology of the region, soil fertility, the dynamics of emissions of pollutants into the atmosphere for the relevant periods; 3) aggregate the obtained estimates into a comprehensive assessment of the sustainability of agricultural production in the region.