Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets
Data analysis in the context of the features of the problem domain and the dynamics of processes are significant in various industries. Uncertainty modeling based on fuzzy logic allows building approximators for solving a large class of problems. In some cases, type-2 fuzzy sets in the model are use...
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MDPI AG
2021
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oai:doaj.org-article:594eb1d6144647ea8657cf637c2c2f682021-11-25T18:17:25ZModeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets10.3390/math92229472227-7390https://doaj.org/article/594eb1d6144647ea8657cf637c2c2f682021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2947https://doaj.org/toc/2227-7390Data analysis in the context of the features of the problem domain and the dynamics of processes are significant in various industries. Uncertainty modeling based on fuzzy logic allows building approximators for solving a large class of problems. In some cases, type-2 fuzzy sets in the model are used. The article describes constructing fuzzy time series models of the analyzed processes within the context of the problem domain. An algorithm for fuzzy modeling of the time series was developed. A new time series forecasting scheme is proposed. An illustrative example of the time series modeling is presented. The benefits of contextual modeling are demonstrated.Anton A. RomanovAleksey A. FilippovValeria V. VoroninaGleb GuskovNadezhda G. YarushkinaMDPI AGarticletime seriestype-2 fuzzy setscontexttendenciesenterprise planningpredictive analyticsMathematicsQA1-939ENMathematics, Vol 9, Iss 2947, p 2947 (2021) |
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time series type-2 fuzzy sets context tendencies enterprise planning predictive analytics Mathematics QA1-939 |
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time series type-2 fuzzy sets context tendencies enterprise planning predictive analytics Mathematics QA1-939 Anton A. Romanov Aleksey A. Filippov Valeria V. Voronina Gleb Guskov Nadezhda G. Yarushkina Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets |
description |
Data analysis in the context of the features of the problem domain and the dynamics of processes are significant in various industries. Uncertainty modeling based on fuzzy logic allows building approximators for solving a large class of problems. In some cases, type-2 fuzzy sets in the model are used. The article describes constructing fuzzy time series models of the analyzed processes within the context of the problem domain. An algorithm for fuzzy modeling of the time series was developed. A new time series forecasting scheme is proposed. An illustrative example of the time series modeling is presented. The benefits of contextual modeling are demonstrated. |
format |
article |
author |
Anton A. Romanov Aleksey A. Filippov Valeria V. Voronina Gleb Guskov Nadezhda G. Yarushkina |
author_facet |
Anton A. Romanov Aleksey A. Filippov Valeria V. Voronina Gleb Guskov Nadezhda G. Yarushkina |
author_sort |
Anton A. Romanov |
title |
Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets |
title_short |
Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets |
title_full |
Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets |
title_fullStr |
Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets |
title_full_unstemmed |
Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets |
title_sort |
modeling the context of the problem domain of time series with type-2 fuzzy sets |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/594eb1d6144647ea8657cf637c2c2f68 |
work_keys_str_mv |
AT antonaromanov modelingthecontextoftheproblemdomainoftimeserieswithtype2fuzzysets AT alekseyafilippov modelingthecontextoftheproblemdomainoftimeserieswithtype2fuzzysets AT valeriavvoronina modelingthecontextoftheproblemdomainoftimeserieswithtype2fuzzysets AT glebguskov modelingthecontextoftheproblemdomainoftimeserieswithtype2fuzzysets AT nadezhdagyarushkina modelingthecontextoftheproblemdomainoftimeserieswithtype2fuzzysets |
_version_ |
1718411382316072960 |