| DC Field | Value | Language |
|---|
| dc.contributor.author | Petrovsky, A. B. | - |
| dc.date.accessioned | 2022-11-14T08:53:08Z | - |
| dc.date.available | 2022-11-14T08:53:08Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Petrovsky, A.B. Method for shortening dimensionality of qualitative attribute space / A.B. Petrovsky // Russian Advances in Artificial Intelligence: selected contributions to the Russian Conference on Artificial intelligence (RCAI 2020), Moscow, Russia, October 10-16, 2020. - Moscow, 2020. - P. 1-12. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/49575 | - |
| dc.description.abstract | The paper presents a new method SOCRATES (ShOrtening CRiteria and ATtributES) for reducing the dimensionality of attribute space. 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. Aggregation of indicators includes various methods for a transformation of attributes and their scales. Multi-attribute objects are represented as multisets of object properties | ru |
| dc.language.iso | en | ru |
| dc.subject | mathematics | ru |
| dc.subject | mathematical cybernetics | ru |
| dc.subject | attribute space | ru |
| dc.subject | dimensionality reduction | ru |
| dc.subject | attributes’ aggregation | ru |
| dc.subject | composite indicator | ru |
| dc.subject | integral index | ru |
| dc.subject | multi-attribute object | ru |
| dc.subject | multiset | ru |
| dc.title | Method for shortening dimensionality of qualitative attribute space | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
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