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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/49

Title: Multicriteria Evaluation and Optimization of Hierarchical Systems
Authors: Voronin, Albert
Keywords: alternative choice
multicriteriality
hierarchical systems
composition of criteria
nested scalar convolutions
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: 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.
URI: http://hdl.handle.net/10525/49
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 2

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