Journal of Automation and Information Sciences
Publicado 12 números por año
ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Modeling and Identification in the Problems of Multicriteria Optimization with Linear and Quadratic Performance Criteria under Statistical Uncertainty
Volumen 46,
Edición 3, 2014,
pp. 17-29
DOI: 10.1615/JAutomatInfScien.v46.i3.30
SINOPSIS
Various methods of unknown parameters identification in the problems of multicriteria optimization under uncertainty with linear and quadratic objective function have been proposed. Parametric identification was made in framework of discrete-continuous models with dummy variables and multiple logit-model. Also there was developed the approach which is based on the construction of functional forms and includes the effects of the second order.
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