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Artificial Intelligence and Decision Making, 2014, Issue 3, Pages 92–104
(Mi iipr369)
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This article is cited in 7 scientific papers (total in 7 papers)
Decision-making
Multiple criteria choice in the attribute space of large dimension: multi-method technology PAKS-M
A. B. Petrovskiia, V. N. Lobanovb a Institute for Systems Analysis of Russian Academy of Sciences
b NIIVK im. M. A. Kartseva
Abstract:
The paper describes the new multi-method technology for multiple criteria choice PAKS-M (Progressive Aggregation of Classified Situations by many Methods) The technology provides reducing a dimension of the attribute space, constructing several hierarchical systems of composite criteria and integral index of decision quality, which are aggregate initial attributes, ordering and/or classifying multi-attribute objects by using different combinations of several methods of decision making. The technology is based on expert knowledge and/or decision maker preferences, significantly reduces the time and complexity of solving the problems of multiple criteria choice, allows a decision maker to conduct a meaningful analysis of the obtained results. The developed technology has been applied in practice to multiple criteria selection of the advanced computing complex.
Keywords:
multiple criteria choice, reduction of attribute space dimension, hierarchical aggregation of attributes, composite criterion, integral index, evaluation of prospects, computing complex.
Citation:
A. B. Petrovskii, V. N. Lobanov, “Multiple criteria choice in the attribute space of large dimension: multi-method technology PAKS-M”, Artificial Intelligence and Decision Making, 2014, no. 3, 92–104; Scientific and Technical Information Processing, 42:6 (2015), 470–480
Linking options:
https://www.mathnet.ru/eng/iipr369 https://www.mathnet.ru/eng/iipr/y2014/i3/p92
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