Abstract
The article considers the problem of making multicriteria decisions in which the decision maker (DM) has the opportunity to indicate the range of selection policies to determine the most effective scope of the considered alternatives. The concept of the Dirichlet area of an alternative is introduced in the blurred area of the target settings of the DM, and four groups of quantitative characteristics are proposed for a holistic description of these areas. A six-step decision-making algorithm is developed. Two mathematical models of multipurpose optimization and systematization of selection policies in the Dirichlet domain are proposed. The proposed method is illustrated by solving the problem of choosing the complex of the most rational concepts of a high-altitude unmanned aerial vehicle.
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