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Artificial Intelligence and Decision Making, 2020, Issue 2, Pages 63–77
DOI: https://doi.org/10.14357/20718594200205 (Mi iipr135) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Decision analysis

Shortening dimensionality of attribute space: method SOCRATE

A. B. Petrovskiiabcd

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b Belgorod Shukhov State Technological University, Belgorod, Russia
c National Research University "Belgorod State University", Belgorod, Russia
d Volgograd State Technical University, Volgograd, Russia
Full-text PDF (526 kB) Citations (1)
DOI: https://doi.org/10.14357/20718594200205
Abstract: A new method SOCRATES (ShOrtening Criteria and ATtributES) to reduce the dimensionality of attribute space is described. In the method, a lot of initial numerical and/or verbal characteristics of objects are aggregated into a single integral index or several composite indicators with small scales of qualitative estimates. Multi-attribute objects are represented as multisets of object properties. Aggregating indicators includes various methods for a transformation of attributes and their scales. Reducing the number of attributes and shortening their scales allows us to simplify the solution of applied problems, in particular, problems of multiple criteria choice, and explain the obtained results.
Keywords: multi-attribute objects, multisets, attribute space, dimensionality reduction, aggregation of attributes, composite indicator, multiple criteria choice.
Funding agency Grant number
Russian Foundation for Basic Research 17-29-07021
18-07-00132
18-07-00280
19-29-01047
English version:
Scientific and Technical Information Processing, 2021, Volume 48, Issue 5, Pages 342–355
DOI: https://doi.org/10.3103/S0147688221050063
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. B. Petrovskii, “Shortening dimensionality of attribute space: method SOCRATE”, Artificial Intelligence and Decision Making, 2020, no. 2, 63–77; Scientific and Technical Information Processing, 48:5 (2021), 342–355
Citation in format AMSBIB
\Bibitem{Pet20}
\by A.~B.~Petrovskii
\paper Shortening dimensionality of attribute space: method SOCRATE
\jour Artificial Intelligence and Decision Making
\yr 2020
\issue 2
\pages 63--77
\mathnet{http://mi.mathnet.ru/iipr135}
\crossref{https://doi.org/10.14357/20718594200205}
\elib{https://elibrary.ru/item.asp?id=43023332}
\transl
\jour Scientific and Technical Information Processing
\yr 2021
\vol 48
\issue 5
\pages 342--355
\crossref{https://doi.org/10.3103/S0147688221050063}
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  • https://www.mathnet.ru/eng/iipr/y2020/i2/p63
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Full-text PDF :28
    References:1
     
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