A method of multicriteria evaluation and optimization of hierarchical systems

Authors:
A. N. Voronin
Affiliations:
National Aviation University, Kyiv, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2007

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Cited 4

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Abstract

It is shown that any multicriterion problem can be represented by a hierarchical system. Individual properties of the object are evaluated at the lower level of the system, using a criterion vector; and a composition mechanism is used to evaluate the object as a whole at the upper level. The paper proposes a method to solve complex multicriterion problems of evaluation and optimization. It is based on nested scalar convolutions of vector-valued criteria and allows simple structural and parametrical synthesis of multicriterion hierarchical systems.