Description: At present, software solutions to support decision-making are actively developing. Among the factors that stimulate the de-velopment of this class of software systems, it is possible to note an increase in the role of their use for solving weakly structured and difficult formalized tasks in the conditions of uncertainty, inaccuracy, incompleteness and inconsistency of output data, the need to take into account variably variable parameters that change dynamically. In such conditions, the development of methods for multi-criteria evaluation of complex objects and alternatives to solutions for increasing the effectiveness of information and analytical support for the officials of the main command post of the operational-tactical grouping of troops is of great impor-tance. In the course of the analysis carried out in the analysis of information and analytical support found that there are a num-ber of significant drawbacks, namely: the complexity of the formation of a multilevel structure of evaluation; the lack of consid-eration of compatibility of unevenly significant indicators; the lack of joint execution of direct and reverse evaluation tasks with the support of choosing the best solutions. It is precisely in order to overcome these shortcomings, in this research a fuzzy as-sessment methodology was developed to assess the information and analytical support of the officers of the main command post of the operational-tactical grouping of troops. To achieve this goal, the main provisions of the methods of artificial intelligence, complex technical systems, fuzzy logic and multi-parameter and multi-criteria optimization were used. The scientific novelty of the proposed methodology is that fuzzy estimation models that are part of the proposed methodology are proposed to create software tools for choosing solutions, taking into account the hierarchical structure, mutual compatibility and different meanings of the evaluated indicators.
Keywords: information and analytical support, operative-tactical grouping of troops, artificial intelligence, fuzzy estima-tion, mathematical models, direct unclear estimation, multiparameter, fuzzy logic.
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