Informatics and Applications
2019, Volume 13, Issue 2, pp 47-53
APPLICATION OF DECISION SUPPORT METHODS FOR THE MULTICRITERIAL SELECTION OF MULTISCALE COMPOSITIONS
- K. K. Abgaryan
- V. A. Osipova
Abstract
The article discusses the use of decision-making support methods for the task of selecting multiscale compositions (MC) - computational analogues of multiscale physical and mathematical models created for analyzing various heterogeneous processes associated with the formation of new composite materials with predetermined properties. When solving specific problems, different multiscale models and their corresponding MC can be constructed. The question arises of comparing these models and assessing their "effectiveness" for specific problem. On the stage of predictive modeling, the authors propose a methodology for comparison of multiscale models through evaluation and selection of appropriate MC using methods of decision-making support under multiple criteria. As an illustration of the possibility of choosing the best alternative in the presence of additional information on evaluation criteria of MC, a model example associated with the study of electronic and structural properties of thin films InN (GaN) on silicon substrates is considered.
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[+] About this article
Title
APPLICATION OF DECISION SUPPORT METHODS FOR THE MULTICRITERIAL SELECTION OF MULTISCALE COMPOSITIONS
Journal
Informatics and Applications
2019, Volume 13, Issue 2, pp 47-53
Cover Date
2019-06-30
DOI
10.14357/19922264190207
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
multiscale modeling; decision theory; quality criteria; alternative; decision support methods; multiple criteria; value function
Authors
K. K. Abgaryan  ,  and V. A. Osipova
Author Affiliations
Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44/2 Vavilov Str., Moscow, 119333, Russian Federation
Moscow Aviation Institute (National Research University), 4 Volokolamskoe Shosse, Moscow 125080, Russian Federation
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