| DC Field | Value | Language |
|---|
| dc.contributor.author | Stanulevich, R. | - |
| dc.contributor.author | German, Y. O. | - |
| dc.coverage.spatial | Москва | en_US |
| dc.date.accessioned | 2026-10-20T06:49:23Z | - |
| dc.date.available | 2026-10-20T06:49:23Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Stanulevich, R. Combined application of logistic regression and the analytic hierarchy process to the supplier selection problem / R. Stanulevich, Y. O. German // Студенческий вестник : научный журнал. – 2026. – № 20. – С. 1305–1308. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/65918 | - |
| dc.description.abstract | An approach to supplier selection for retail enterprises is proposed. When a large number of alternatives exists, applying T. Saaty's Analytic Hierarchy Process (AHP) directly to the entire set becomes labor-intensive and lacks sufficient informativeness. Therefore, the first stage involves constructing a logistic regression model to perform an initial filtering of alternatives, which helps ensure commercial success. Subsequently, a modified version of Saaty's method is used to rank the remaining suppliers based on their integral utility | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Интернаука | en_US |
| dc.subject | публикации ученых | en_US |
| dc.subject | logistic regression | en_US |
| dc.subject | Saaty hierarchies | en_US |
| dc.subject | multicriteria optimization | en_US |
| dc.subject | utility functions | en_US |
| dc.subject | Harrington functions | en_US |
| dc.title | Combined application of logistic regression and the analytic hierarchy process to the supplier selection problem | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Публикации в зарубежных изданиях
|
