Please use this identifier to cite or link to this item: http://e.ieu.edu.ua/handle/123456789/1406
Title: Pairwise Comparison Methods Based on Alternatives Disaggregation for Polyaspect Decision-Making Problems
Authors: Nesterenko, Oleksandr
Kazachkov, Ivan
Selin, Yurij
Keywords: Decision-making
Computer ontologies
Visualization
Bipartite graph
AHP
SWOT
Issue Date: 2025
Publisher: Springer
Citation: Nesterenko, O., Kazachkov, I., Selin, Y. (2025). Pairwise Comparison Methods Based on Alternatives Disaggregation for Polyaspect Decision-Making Problems. In: Hu, Z., Yanovsky, F., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education VII. ICCSEEA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 242, 249-260. Springer, Cham
Series/Report no.: https://doi.org/10.1007/978-3-031-84228-3_21;
Abstract: The article proposes a comprehensive methodology for improving pairwise comparisons for expert polyaspect evaluation of alternatives. The model of pairwise comparisons usually leads to an unsustainable policy of individual judgments, in particular due to limited knowledge and information. Therefore, the essence of our approach is primarily to use the capabilities of modern technologies to present an information picture of the subject area based on computer ontologies and visualization on graphs. This allows for the disaggregation of alternatives to individual characteristics and taking into account their advantages for evaluating problems, in particular, using the SWOT matrix and AHP. The results of modeling alternatives based on the example of finding rational solutions for determining resources for attracting aviation to ensure the elimination of forest fires confirmed the effectiveness and stability of the proposed method. Application of this method will allow the expert to take into account important factors that may be underestimated in traditional analysis. The further development of the method should be related to the intellectualization of the processes of pairwise comparisons, which can also significantly reduce the subjective influence of expert judgments
URI: http://e.ieu.edu.ua/handle/123456789/1406
Appears in Collections:Кафедра інформаційних технологій

Files in This Item:
File Description SizeFormat 
Pairwise Comparison Methods.pdf308.83 kBAdobe PDFView/Open


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