Abstract
In the paper is proposed a method for evaluation of the quality assurance in universities and scientific organizations. The evaluation of the quality is based on criteria, which measure different aspects of university activities and consists of different sub-criteria. For the assessment the theory of intuitionistic fuzzy sets is used. The obtained intuitionistic fuzzy estimations reflect the degree of each criterion’ satisfaction, and non-satisfaction. We also consider a degree of uncertainty that represents such cases wherein is no information about sub-criteria of the current criterion. The generalized model gives possibility for algorithmization of the methodology of forming the quality evaluations is constructed. It provides the possibility for the algorithmization of the process of forming the evaluation of the quality assurance in universities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Atanassov, K.: Generalized nets. World Scientific, Singapore (1991)
Atanassov, K.: On Generalized Nets Theory. “Prof. Marin Drinov”Academic Publishing House, Sofia (2007)
Atanassov, K.T.: On Intuitionistic Fuzzy Sets Theory. Springer, Heidelberg (2012)
Atanassov, K.: Intuitionistic Fuzzy Sets. Springer, Heidelberg (1999)
Melo-Pinto, P., Kim, T., Atanassov, K., Sotirova, E., Shannon, A., Krawczak, M.: Generalized net model of e-learning evaluation with intuitionistic fuzzy estimations. In: Issues in the Representation and Processing of Uncertain and Imprecise Information, Warszawa, pp. 241–249 (2005)
Shannon, A., Langova-Orozova, D., Sotirova, E., Petrounias, I., Atanassov, K., Krawczak, M., Melo-Pinto, P., Kim, T.: Generalized Net Modelling of University Processes. KvB Visual Concepts Pty Ltd, Monograph No. 7, Sydney (2005)
Shannon, A., Atanassov, K., Sotirova, E., Langova-Orozova, D., Krawczak, M., Melo-Pinto, P., Petrounias, I., Kim, T.: Generalized Nets and Information Flow Within a University, Warsaw School of Information Technology, Warszawa (2007)
Shannon, A., Sotirova, E., Petrounias, I., Atanassov, K., Krawczak, M., Melo-Pinto, P., Kim, T.: Intuitionistic fuzzy estimations of lecturers’ evaluation of student work. In: First International Workshop on Intuitionistic Fuzzy Sets, Generalized Nets & Knowledge Engineering, University of Westminster, London, pp. 44–47, 6–7 September 2006
Shannon, A., Sotirova, E., Petrounias, I., Atanassov, K., Krawczak, M., Melo-Pinto, P., Kim, T.: Generalized net model of lecturers’ evaluation of student work with intuitionistic fuzzy estimations. In: Second International Workshop on Intuitionistic Fuzzy Sets, Banska Bystrica, Slovakia, 3 December 2006, Notes on IFS, vol. 12, No. 4, pp. 22–28 (2006)
Shannon, A., Sotirova, E., Atanassov, K., Krawczak, M., Melo-Pinto, P., Kim, T.: Generalized Net Model for the Reliability and Standardization of Assessments of Student Problem Solving with Intuitionistic Fuzzy Estimations, Developments in Fuzzy Sets, Generalized Nets and Related Topics. Applications, vol. 2, System Research Institute, Polish Academy of Science, pp. 249–256 (2008)
Shannon, A., Dimitrakiev, D., Sotirova, E., Krawczak, M., Kim, T.: Towards a Model of the Digital University: Generalized Net Model of a Lecturer’s Evaluation with Intuitionistic Fuzzy Estimations, Cybernetics and Information Technologies, Bulgarian Academy of Sciences, vol. 9, No 2, pp. 69–78 (2009)
Shannon, A., Sotirova, E., Hristova, M., Kim, T.: Generalized net model of a student’s course evaluation with intuitionistic fuzzy estimations in a digital university. Proc. Jangjeon Mathe. Soc. 13(1), 31–38 (2010)
Standards and Guidelines for Quality Assurance in the European Higher Education Area. http://www.enqa.eu/wp-content/uploads/2015/11/ESG_2015.pdf
Acknowledgments
The authors are thankful for the support provided by the Bulgarian National Science Fund under Grant Ref. No. DN-02/10 “New Instruments for Knowledge Discovery from Data, and their Modelling”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Sotirova, E., Petkov, T., Krawczak, M. (2018). Generalized Net Modelling of the Intuitionistic Fuzzy Evaluation of the Quality Assurance in Universities. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-66827-7_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66826-0
Online ISBN: 978-3-319-66827-7
eBook Packages: EngineeringEngineering (R0)