RUS  ENG
Full version
JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2014 Issue 3, Pages 92–104 (Mi iipr369)

This article is cited 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.


 English version:
, 2015, 42:6, 470–480

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024