alternative choice multicriteriality hierarchical systems composition of criteria nested scalar convolutions
Institute of Information Theories and Applications FOI ITHEA
It is shown that any multicriteria problem can be represented by a hierarchical system. Separate
properties of the object are evaluated at the lower level of the system, using a criteria 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 multicriteria problems of evaluation and optimization. It is based on nested scalar convolutions of vector-
valued criteria and allows simple structural and parametrical synthesis of multicriteria hierarchical systems.