http://dspace.bsu.edu.ru/handle/123456789/49575| Title: | Method for shortening dimensionality of qualitative attribute space |
| Authors: | Petrovsky, A. B. |
| Keywords: | mathematics mathematical cybernetics attribute space dimensionality reduction attributes’ aggregation composite indicator integral index multi-attribute object multiset |
| Issue Date: | 2020 |
| 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. |
| 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 |
| URI: | http://dspace.bsu.edu.ru/handle/123456789/49575 |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Petrovsky_Method.pdf | 675.71 kB | Adobe PDF | View/Open |
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