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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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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Online Access: | https://doklady.bsuir.by/jour/article/view/679 |
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doaj-4aae64dc75f64bb6a7eda7ec2c1285e12021-07-28T16:19:52ZrusEducational 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 |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
Yu. O. German O. V. German |
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 |
author_facet |
Yu. O. German O. V. German |
author_sort |
Yu. O. German |
title |
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_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_sort |
forecasting model on the basis of a fuzzy learning set |
publisher |
Educational institution «Belarusian State University of Informatics and Radioelectronics» |
series |
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
issn |
1729-7648 |
publishDate |
2019-06-01 |
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. |
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 |
_version_ |
1721267832601182208 |