Uncertainties in data processing, forecasting and decision making
Forecasting, dynamic planning, and current statistical data processing are defined as the process of estimating an enterprise’s current state on the market compared to other competing enterprises and determining further goals as well as sequences of actions and resources necessary for reaching the g...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Ukrainian |
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Igor Sikorsky Kyiv Polytechnic Institute
2023-09-01
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| Series: | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/290369 |
| _version_ | 1797351393453932544 |
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| author | Liudmyla Levenchuk Oxana Tymoshchuk Vira Huskova Petro Bidyuk |
| author_facet | Liudmyla Levenchuk Oxana Tymoshchuk Vira Huskova Petro Bidyuk |
| author_sort | Liudmyla Levenchuk |
| collection | DOAJ |
| description | Forecasting, dynamic planning, and current statistical data processing are defined as the process of estimating an enterprise’s current state on the market compared to other competing enterprises and determining further goals as well as sequences of actions and resources necessary for reaching the goals stated. In order to perform high-quality forecasting, it is proposed to identify and consider possible uncertainties associated with data and expert estimates. This is one of the system analysis principles to be hired for achieving high-quality final results. A review of some uncertainties is given, and an illustrative example showing improvement of the final result after considering possible stochastic uncertainty is provided. |
| first_indexed | 2024-03-08T12:59:51Z |
| format | Article |
| id | doaj.art-f429c856adbf46a0866db98cd920cc2e |
| institution | Directory Open Access Journal |
| issn | 1681-6048 2308-8893 |
| language | Ukrainian |
| last_indexed | 2024-03-08T12:59:51Z |
| publishDate | 2023-09-01 |
| publisher | Igor Sikorsky Kyiv Polytechnic Institute |
| record_format | Article |
| series | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
| spelling | doaj.art-f429c856adbf46a0866db98cd920cc2e2024-01-19T12:36:00ZukrIgor Sikorsky Kyiv Polytechnic InstituteSistemnì Doslìdženâ ta Informacìjnì Tehnologìï1681-60482308-88932023-09-013668010.20535/SRIT.2308-8893.2023.3.05328648Uncertainties in data processing, forecasting and decision makingLiudmyla Levenchuk0https://orcid.org/0000-0002-8600-0890Oxana Tymoshchuk1https://orcid.org/0000-0003-1863-3095Vira Huskova2https://orcid.org/0000-0001-7637-201XPetro Bidyuk3https://orcid.org/0000-0002-7421-3565Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", KyivEducational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", KyivEducational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", KyivEducational and Research Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", KyivForecasting, dynamic planning, and current statistical data processing are defined as the process of estimating an enterprise’s current state on the market compared to other competing enterprises and determining further goals as well as sequences of actions and resources necessary for reaching the goals stated. In order to perform high-quality forecasting, it is proposed to identify and consider possible uncertainties associated with data and expert estimates. This is one of the system analysis principles to be hired for achieving high-quality final results. A review of some uncertainties is given, and an illustrative example showing improvement of the final result after considering possible stochastic uncertainty is provided.http://journal.iasa.kpi.ua/article/view/290369mathematical modelstatistical data uncertaintiessystem analysis principlesforecastingdecision support system |
| spellingShingle | Liudmyla Levenchuk Oxana Tymoshchuk Vira Huskova Petro Bidyuk Uncertainties in data processing, forecasting and decision making Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï mathematical model statistical data uncertainties system analysis principles forecasting decision support system |
| title | Uncertainties in data processing, forecasting and decision making |
| title_full | Uncertainties in data processing, forecasting and decision making |
| title_fullStr | Uncertainties in data processing, forecasting and decision making |
| title_full_unstemmed | Uncertainties in data processing, forecasting and decision making |
| title_short | Uncertainties in data processing, forecasting and decision making |
| title_sort | uncertainties in data processing forecasting and decision making |
| topic | mathematical model statistical data uncertainties system analysis principles forecasting decision support system |
| url | http://journal.iasa.kpi.ua/article/view/290369 |
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