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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Main Authors: Yu. O. German, O. V. German
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/679
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spelling 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
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