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Название: | Ontology and Analytic Hierarchy Process in the information and analytical systems |
Авторы: | Nesterenko, Oleksandr |
Ключевые слова: | ayltyictic hierarchy process Decision make support Information and analytical system |
Дата публикации: | 2021 |
Издательство: | Springer |
Библиографическое описание: | Oleksandr Nesterenko. Ontology and Analytic Hierarchy Process in the information and analytical systems // In book: Lecture Notes in Computational Intelligence and Decision Making. Chapter No: 19 / S. Babichev et al. (Eds.): ISDMCI 2020, AISC 1246, 2021, pp. 302–314 |
Серия/номер: | ;https://doi.org/10.1007/978-3-030-54215-3_19 |
Краткий осмотр (реферат): | In our days, problems relating to decision making support in the information and analytical systems are caused mainly by the need to handle a large volume of diverse information and the occurrence of a great number of alternatives of alternatives and multi-objective criteria when choosing them. Application of ontological descriptions in the deci- sion making support chain ensures the dynamic formation of correspond- ing sets of alternatives and criteria based on the properties of concepts of the domain areas for which relevant decisions are made. Inclusion of ontological models in the information and analytical system environment allows effectively apply a method of hierarchy analysis as a systematic procedure for hierarchic representation and analysis of elements which establish the core of a problem. In this case, validity of a decision depends entirely on the correctness and relevance of ontological domain model, while the objectivity of a method is ensured by fixing the transitive con- sistency of expert judgment, which eliminates subjectivity and supports the principle of impartiality and justice. |
URI (Унифицированный идентификатор ресурса): | http://e.ieu.edu.ua/handle/123456789/713 |
ISBN: | 978-3-030-54214-6 |
Располагается в коллекциях: | Кафедра інформаційних технологій |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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Nesterenko_Ontology_2021.pdf | 290.98 kB | Adobe PDF | Открыть |
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