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: .., .., .. . // . - 2026. - . 120. - .206-227.
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(.): cyber-physical system, unmanned aerial vehicle, unmanned aerial vehicle group control, reconfiguration, matching, preferences, fuzzy quantifiers, ordered weighted averaging operator
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(.): This paper presents a continuation of research in the field of applying two-sided matching algorithms for optimal resource allocation in a heterogeneous group of interacting objects within a cyber-physical system. The study considers the problem of reconfiguration of a two-level group of unmanned aerial vehicles constructed according to the leaderfollower scheme. The paper examines the situation where equivalence arises in the preferences of leader actors regarding subordinate ones and proposes an approach to its resolution based on the concept of a proportional fuzzy quantifier. An approach to constructing a decision-making model under conditions of equivalence among candidate actors is proposed. The core of the approach lies in a method of representing additional preference information under equivalence conditions using fuzzy quantifiers. The results of an experimental study of the proposed approach are discussed, and examples of proportional resource allocation among candidates with equal degrees of preference are presented. In conclusion, a general characterization of possible directions for further development of the proposed approach to constructing a decision-making model for the reconfiguration problem is provided.
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