A V Kholstov’s research while affiliated with Russian Academy of Sciences and other places

Determining the priorities for sustainable development involves critical problems identifying, the conditions creating necessary for successfully solving such problems, and identifying a set of methods and tools to ensure that these conditions are met. The existing quantitative approaches to the priorities definition do not consider the problems of resource provision of scientific priorities. The developed expert system makes it possible to use effectively multilevel information-logical structures for the systematic analysis of scientific priorities according to many criteria. It allows ensuring the transition from research goals to methods of achieving these goals, the choice of specific means and the development of the necessary research methodology.

Environmental projects have a high degree of uncertainty and risk of their implementation. In the process of assessing their effectiveness, it is necessary to take into account the interests of all the participants in the environmental project. The environmental projects effectiveness evaluation is formalized in the form of a mathematical problem of nonlinear programming with Boolean variables with constraints such as equality and inequality. To solve it, the interactive genetic algorithm for the environmental projects implementation trajectory formation was developed.

The main idea of digitalization is the transition to a new technological order and, as a result, gaining competitive advantages, therefore, measuring the diffusion of scientific knowledge in the digital economy is especially relevant. The existing articles do not offer general models for the transfer of knowledge, regardless of the digitalization industry. The authors of the article have developed a conceptual model for measuring the diffusion of scientific knowledge, which allows, according to the characteristics of knowledge carriers, to assess the proximity of their paradigms, as well as the likelihood of delays in the transfer of knowledge due to the need to relay knowledge, depending on the paradigms they use. Criteria to assess the reliability of the scientific knowledge transfer in the context of digitalization are proposed.

Currently, the problem of developing methods for determining promising directions, trends in scientific research and technology is the most important component of the process of forming a national science policy. The problem of finding priority or breakthrough areas of development is reduced to sorting out in one form or another and assessing possible existing areas of scientific activity. It is proposed to use a semantic network of communicative information space, in which the structuring of the subject area is based on the selection of objects and identifying features, which include not only features-properties, but also features-relationships. A module for traversing elements of a scientific social network by reference graph has been implemented, as well as an algorithm for determining the level of importance of a scientific direction according to multiple criteria.

Scientific and technical programs are an important means of implementing the priority directions of the science and technology development. The key features of scientific and technical programs for the formation of demand and supply for scientific knowledge are considered, the classification of the programs main types is carried out. Criteria for assessing the potential and activity of the scientific and technical programs actors were developed. Dynamic models of the system analysis of the scientific and technical programs actors’ absorption capacity according to many criteria based on the data envelopment analysis methodology are proposed.

The paper discusses a new approach to the processing of verbal assessments, which express the opinions of experts on many criteria. The algorithm for verbal analysis of multi-feature objects expert assessments is proposed for identifying subgroups of experts with agreed opinions. It is proposed to use the multiplicity indices of multisets to calculate the coefficient of consistency. It is also proposed to use jointly the coefficients of consistency values to assess the consistency of the experts subgroups on one feature, and strive for the total maximization of the coefficients of consistency for all features. The complexity of the proposed algorithm is estimated. The results of calculations for the problem of choosing the best science-intensive technology are presented.