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SYSTEM ANALYSIS OF CLASSIFICATION AND ORDERING MODELS OF OBJECTS

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The problem of combining models of classification and ordering of objects within one decision support system is considered. The problem is solved by searching for similarities and differences of the corresponding models using the system analysis methods. Relations between classification models with clear and fuzzy class boundaries, models of ordering objects with hard and soft restrictions on the indicators’ values are considered. The concept of a real goal is introduced, which makes it possible to link the methods of multi-objective and conditional optimization, and these, in turn, with the methods of the multidimensional theory of value and utility. Interpreted as a boundary between classes, the real goal allows to link the methods of classifying and emphasizing objects. The revealed connections are the basis for combining the considered methods within the framework of a common decision support system, which gives great opportunities for making decisions using different methods and comparing the results obtained.

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