Please use this identifier to cite or link to this item: http://e.ieu.edu.ua/handle/123456789/713
Title: Ontology and Analytic Hierarchy Process in the information and analytical systems
Authors: Nesterenko, Oleksandr
Keywords: ayltyictic hierarchy process
Decision make support
Information and analytical system
Issue Date: 2021
Publisher: Springer
Citation: 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
Series/Report no.: ;https://doi.org/10.1007/978-3-030-54215-3_19
Abstract: 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: http://e.ieu.edu.ua/handle/123456789/713
ISBN: 978-3-030-54214-6
Appears in Collections:Кафедра інформаційних технологій

Files in This Item:
File Description SizeFormat 
Nesterenko_Ontology_2021.pdf290.98 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.