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 relevance of the study is associated with the need to provide an effective methodology for the implementation of information technologies in forestry management. The article substantiates for the first time the application of a technocenological approach to enterprise sustainability management in the forest industry. This approach is effective in a variety of products and equipment, provides an account of the important laws of their optimal construction and operation. The technocenological approach allows us to design the structural architecture of the main subsystems of the enterprise, describing it as a certain standard form of the statistical distribution of elements within the boundaries of mathematical stability. This allows using the model as a guide for various management decisions. It is assumed that the proposed formal model will not only increase the manageability of individual enterprises, but also accelerate the digitalization of the entire industry.

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