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Model reveals efficient solutions for multi-criteria decisions in artificial intelligence, indicating a novel optimization approach.
A model of multi-criteria optimization has been obtained, which allows the object to realize all the goals set in the entire range of possible situations without the direct participation of a person. A systematic approach to the problem of vector optimization made it possible to combine models of individual trade-off schemes into a single integral structure that adapts to the situation of making a multi-criteria decision. The advantage of the concept of a non-linear trade-off scheme is the possibility of making a multi-criteria decision formally, which is a hallmark of artificial intelligence. The apparatus of the nonlinear trade-off scheme, developed as a formalized tool for studying systems with conflicting criteria, allows the artificial intelligence system to practically solve multi-criteria problems of a wide class.
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Voronin et al. (2025) studied this question.
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