Formalization of research objects and prerequisites for creating an information multi-factor model

Abstract

The article elaborates the methods of industry management, allowing to ensure reliable filling of industry knowledge bases that serve as a source of information capable of forming models close to human logic, based on experience, facts, rules (heuristics). For this purpose, the study of methods of industry forecasting is proposed to obtain a scientifically based assessment of the effectiveness of methods designed to minimize the negative impact on ecosystems. In this regard, an attempt has been made to create as a kind of ready-made «recipe», an algorithm for carrying out any targeted actions, and the specific choice of criteria, metric characteristics, is reduced to the development of sectoral eco-indicators, where multifactoriality allows reflecting the industry specifics and characteristics of «project objects» (relief of the studied territories, water and land objects, flora, fauna, etc.).