Аннотация:One of the recognized approaches to improving management efficiency is the automation of this process, including through the use of decision support systems. The paper analyzes the existing approaches to the algorithmization of automated decision support, their shortcomings. It is concluded that the current situation, which is determined by the absence of standard algorithms for the decision support process, slows down the process of creating and introducing such systems into management practice. Based on the analysis of the state of the subject area, proposals have been synthesized for grouping all algorithms by type: for trivial situations and for situations requiring user intervention in the process of developing a set of alternatives. Based on the formalization of the representation of the decision support process, the concepts of “standard” and “extended” cycles are introduced, which provide support for decision making in trivial and nontrivial situations, respectively. At the same time, under the “standard” cycle, it is proposed to understand the search for an optimal solution under the conditions of a given objective function and constraints. An “extended” cycle is understood as a search for a non-trivial solution that cannot be obtained without modifying the objective function, removing or changing part of the constraints set before starting the search for a solution. The proposed algorithmic approach most fully corresponds to the modern understanding of an automated decision support system and, potentially, will speed up the process of introducing such systems into management practice.
