A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty
In this article the author suggests a generalized concept of information collection, transfer, and processing technology for decision-making support in uncertain environments. First, key features of uncertain environments and a generalized decision concept are outlined. Decision is defined as the ch...
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| Datum: | 2025 |
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| Format: | Artikel |
| Sprache: | Ukrainisch |
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Інститут проблем реєстрації інформації НАН України
2025
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| Online Zugang: | https://drsp.ipri.kiev.ua/article/view/354611 |
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| Назва журналу: | Data Recording, Storage & Processing |
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Data Recording, Storage & Processing| _version_ | 1862315021665566720 |
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| author | Каденко, С. В. |
| author_facet | Каденко, С. В. |
| author_sort | Каденко, С. В. |
| baseUrl_str | http://drsp.ipri.kiev.ua/oai |
| collection | OJS |
| datestamp_date | 2026-04-12T15:36:33Z |
| description | In this article the author suggests a generalized concept of information collection, transfer, and processing technology for decision-making support in uncertain environments. First, key features of uncertain environments and a generalized decision concept are outlined. Decision is defined as the choice of one or more of the existing alternative options, such as objects, projects, strategies, or scenarios. Second, existing approaches are analyzed in retrospect, including the analytic hierarchy and network processes, ELECTRE, TOPSIS, PROMETHEE\GAIA, and DEMATEL techniques. Special attention is given to technologies based on complex dynamic evaluation of alternatives. The key common features of the analyzed technologies are: 1) usage of expert data alongside data from other available sources and 2) construction of a knowledge base for a given uncertain environment in the form of a weighted hierarchy\network graph. Nodes of this graph represent criteria and factors, describing the chosen domain in the context of a specified main goal, set by the decision-maker, while edges represent relative impacts of these factors and their respective weights. Such a knowledge base allows decision-makers and analysts to solve problems of several types, such as: rating and prioritization of alternatives and projects, allocation of limited resources to projects within a specified period of time, strategic planning, and scenario analysis. Based on conducted analysis, the author suggests a general classification of outlined technologies according to information sources used, complexity of knowledge bases built, and types of problems solved. A separate section is dedicated to challenges and prospects of generative AI application for decision support in uncertain environments. The final outcome of the paper is the unified concept of information collection and processing technology for decision-making support in weakly formalized domains, characterized by high uncertainty levels, complete with references to respective mathematical and software tools that should be used at each stage of technology implementation. Tabl.: 1. Fig.: 1. Refs: 49 titles. |
| doi_str_mv | 10.35681/1560-9189.2025.27.3.354611 |
| first_indexed | 2026-04-13T01:00:05Z |
| format | Article |
| id | drspiprikievua-article-354611 |
| institution | Data Recording, Storage & Processing |
| keywords_txt_mv | keywords |
| language | Ukrainian |
| last_indexed | 2026-04-13T01:00:05Z |
| publishDate | 2025 |
| publisher | Інститут проблем реєстрації інформації НАН України |
| record_format | ojs |
| spelling | drspiprikievua-article-3546112026-04-12T15:36:33Z A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty Узагальнена концепція технології збору і обробки знань для підтримки прийняття рішень в умовах невизначеності Каденко, С. В. : підтримка прийняття рішень, цільова ієрархічна декомпозиція, рейтинг, ранжирування, стратегічне планування, метод аналізу сценаріїв decision-making support, goal-oriented hierarchic decomposition, rating, ranking, strategic planning, scenario analysis In this article the author suggests a generalized concept of information collection, transfer, and processing technology for decision-making support in uncertain environments. First, key features of uncertain environments and a generalized decision concept are outlined. Decision is defined as the choice of one or more of the existing alternative options, such as objects, projects, strategies, or scenarios. Second, existing approaches are analyzed in retrospect, including the analytic hierarchy and network processes, ELECTRE, TOPSIS, PROMETHEE\GAIA, and DEMATEL techniques. Special attention is given to technologies based on complex dynamic evaluation of alternatives. The key common features of the analyzed technologies are: 1) usage of expert data alongside data from other available sources and 2) construction of a knowledge base for a given uncertain environment in the form of a weighted hierarchy\network graph. Nodes of this graph represent criteria and factors, describing the chosen domain in the context of a specified main goal, set by the decision-maker, while edges represent relative impacts of these factors and their respective weights. Such a knowledge base allows decision-makers and analysts to solve problems of several types, such as: rating and prioritization of alternatives and projects, allocation of limited resources to projects within a specified period of time, strategic planning, and scenario analysis. Based on conducted analysis, the author suggests a general classification of outlined technologies according to information sources used, complexity of knowledge bases built, and types of problems solved. A separate section is dedicated to challenges and prospects of generative AI application for decision support in uncertain environments. The final outcome of the paper is the unified concept of information collection and processing technology for decision-making support in weakly formalized domains, characterized by high uncertainty levels, complete with references to respective mathematical and software tools that should be used at each stage of technology implementation. Tabl.: 1. Fig.: 1. Refs: 49 titles. Проаналізовано кілька технологій і методик підтримки прийняття рішень в умовах невизначеності. Зокрема, інструментарій підтримки прийняття рішень розглянуто в контексті задач відбору проєктів, стратегічного планування (на різних рівнях), розподілу ресурсів, протидії негативним впливам в інформаційній боротьбі, побудови та аналізу прогнозованих сценаріїв розвитку подій. На основі проведеного аналізу розроблено умовну класифікацію наявних підходів і узагальнену концепцію технології збору і обробки знань, яка забезпечує прийняття поінформованих і компетентних рішень різного характеру в слабко структурованих предметних областях. Інститут проблем реєстрації інформації НАН України 2025-12-23 Article Article application/pdf https://drsp.ipri.kiev.ua/article/view/354611 10.35681/1560-9189.2025.27.3.354611 Data Recording, Storage & Processing; Vol. 27 No. 3 (2025); 112-125 Регистрация, хранение и обработка данных; Том 27 № 3 (2025); 112-125 Реєстрація, зберігання і обробка даних; Том 27 № 3 (2025); 112-125 1560-9189 uk https://drsp.ipri.kiev.ua/article/view/354611/343191 Авторське право (c) 2025 Реєстрація, зберігання і обробка даних |
| spellingShingle | decision-making support goal-oriented hierarchic decomposition rating ranking strategic planning scenario analysis Каденко, С. В. A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| title | A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| title_alt | Узагальнена концепція технології збору і обробки знань для підтримки прийняття рішень в умовах невизначеності |
| title_full | A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| title_fullStr | A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| title_full_unstemmed | A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| title_short | A generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| title_sort | generalized concept of knowledge collection and processing technology for decision-making support under uncertainty |
| topic | decision-making support goal-oriented hierarchic decomposition rating ranking strategic planning scenario analysis |
| topic_facet | : підтримка прийняття рішень цільова ієрархічна декомпозиція рейтинг ранжирування стратегічне планування метод аналізу сценаріїв decision-making support goal-oriented hierarchic decomposition rating ranking strategic planning scenario analysis |
| url | https://drsp.ipri.kiev.ua/article/view/354611 |
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