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The problem of quantitative and qualitative evaluation of problematic areas of restructuring of the political field involving dangerous (alarming, unfavorable) events is considered.The problem of analytical assessment is solved by the nested scalar convolutions of vector criterion method with nonlinear trade-off scheme.Qualitative assessment is based on Harrington's verbal and numerical scale.The illustrative example is given.Important aspects of research in this area are considered by such Ukrainian scientists as V. Glushkov, V. Kuntsevich, A. Voloshin, V. Totsenko, V. Mikhalevich, V. Volkovich, etc.However, the algorithms they developed must use information from the decision maker, which introduces elements of subjectivity into the result.Meanwhile, in science, results that are free from bias and subjectivity are especially valued.The purpose of the article is to study methods for multi-criteria optimization of the operation of the object in problematic situations and to develop algorithms that provide objective decision-making results.Management decisions are aimed at resolving the problem (negative, alarm) situations arising in different subject areas.The concept of a problem situation includes a number of adverse events.Each of these events is characterized by its importance and involves the reaction (a complex of administrative measures aimed at eliminating the corresponding problems).In turn, the importance of the event is characterized by a possible material or other damage and a caused public outcry.The reaction is characterized by the start time of the response, cost of used measures and efficiency of taken measures.Management decision-making is based on an assessment of the problem situation.In accordance with the foregoing analysis, the evaluation system appears as a hierarchical structure.
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Voronin et al. (2024) studied this question.
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