A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET
A problem of constructing a numeric forecasting evaluator on the basis of a fuzzy learning set is considered. The stated general problem is connected to the definition of the missing fuzzy vector co-ordinates and their evaluation. The general formulation is divided into two tasks: to build a method...
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Format: | Article |
Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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Online Access: | https://doklady.bsuir.by/jour/article/view/679 |
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author | Yu. O. German O. V. German |
author_facet | Yu. O. German O. V. German |
author_sort | Yu. O. German |
collection | DOAJ |
description | A problem of constructing a numeric forecasting evaluator on the basis of a fuzzy learning set is considered. The stated general problem is connected to the definition of the missing fuzzy vector co-ordinates and their evaluation. The general formulation is divided into two tasks: to build a method producing missing fuzzy forecasting values with expected value of a fuzzy measure and forecasting quality estimation. The given mathematical backgrounds are based on the model of a multidimensional crisp classifier and its usage for the fuzzy measure definition with the following evaluation on the basis of the fuzzy vectors probabilities by R. Yager. |
format | Article |
id | doaj-art-4aae64dc75f64bb6a7eda7ec2c1285e1 |
institution | Matheson Library |
issn | 1729-7648 |
language | Russian |
publishDate | 2019-06-01 |
publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
record_format | Article |
series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
spelling | doaj-art-4aae64dc75f64bb6a7eda7ec2c1285e12025-08-04T17:38:17ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01051823678A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SETYu. O. German0O. V. German1Белорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиA problem of constructing a numeric forecasting evaluator on the basis of a fuzzy learning set is considered. The stated general problem is connected to the definition of the missing fuzzy vector co-ordinates and their evaluation. The general formulation is divided into two tasks: to build a method producing missing fuzzy forecasting values with expected value of a fuzzy measure and forecasting quality estimation. The given mathematical backgrounds are based on the model of a multidimensional crisp classifier and its usage for the fuzzy measure definition with the following evaluation on the basis of the fuzzy vectors probabilities by R. Yager.https://doklady.bsuir.by/jour/article/view/679fuzzy learning setmembership measure functionclassificationforecasting |
spellingShingle | Yu. O. German O. V. German A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki fuzzy learning set membership measure function classification forecasting |
title | A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET |
title_full | A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET |
title_fullStr | A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET |
title_full_unstemmed | A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET |
title_short | A FORECASTING MODEL ON THE BASIS OF A FUZZY LEARNING SET |
title_sort | forecasting model on the basis of a fuzzy learning set |
topic | fuzzy learning set membership measure function classification forecasting |
url | https://doklady.bsuir.by/jour/article/view/679 |
work_keys_str_mv | AT yuogerman aforecastingmodelonthebasisofafuzzylearningset AT ovgerman aforecastingmodelonthebasisofafuzzylearningset AT yuogerman forecastingmodelonthebasisofafuzzylearningset AT ovgerman forecastingmodelonthebasisofafuzzylearningset |