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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
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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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