Please use this identifier to cite or link to this item: https://er.chdtu.edu.ua/handle/ChSTU/5526
Title: Application of Cognitive Modeling for Qualitative Analysis of Educational Projects’ Risks in Higher Education Institution
Authors: Carlsson, Anders
Semko, Inga
Mokiienko, Iuliia
Mylnichenko, Serhii
Haidaienko, Oksana
Семко, Інга Борисівна
Мокієнко, Юлія Миколаївна
Мильніченко, Сергій Михайлович
Keywords: gognitive modeling;fuzzy cognitive maps;risks of educational projects;causal systems;classification analysis;cognitive maps
Issue Date: 2024
Publisher: Springer, Cham.
Abstract: The article studies the modeling of risk management in educational projects of higher education institutions. Today fuzzy cognitive models are widely used for the analysis of complex, causal systems from the standpoint of classification, analysis, modeling, forecasting, decision-making, etc. the authors, however, suggest the application of a cognitive model for risks analysis of an educational project in the field of higher education. The model is suggested to be implemented within the framework of a qualitative analysis of factors influencing each other, the strength of their interaction, and graphical construction of a model with a display of cause-and-effect relationships in a variable weakly structured system for making optimal management decisions. Modeling visualization is a powerful tool, which allows demonstrate the results of expert assessments with subsequent development of a strategy to prevent risks’ occurrence. This approach to modeling allows to understand not only the current state of the system, but also to reproduce various scenarios of its development, which helps to determine the optimal ways for further development. In general, the use of fuzzy cognitive maps of risk management allows to make the process more systematic, effective and oriented towards achieving project success.
URI: https://link.springer.com/chapter/10.1007/978-3-031-71804-5_25
https://er.chdtu.edu.ua/handle/ChSTU/5526
ISBN: 978-3-031-71803-8 (print)
978-3-031-71804-5 (online)
DOI: https://doi.org/10.1007/978-3-031-71804-5_25
First Page: 370
End Page: 384
Book Title: Faure, E., et al. Information Technology for Education, Science, and Technics. ITEST 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 222.
Appears in Collections:Наукові публікації викладачів (ФЕТР)

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