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Generalized Net Modelling of the Intuitionistic Fuzzy Evaluation of the Quality Assurance in Universities

  • Evdokia SotirovaEmail author
  • Todor Petkov
  • Maciej Krawczak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 643)

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.

Keywords

Generalized nets Intuitionistic fuzzy sets University quality 

Notes

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”.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Evdokia Sotirova
    • 1
    Email author
  • Todor Petkov
    • 1
  • Maciej Krawczak
    • 2
  1. 1.Intelligent Systems LaboratoryUniversity “Prof. Dr. Assen Zlatarov”BurgasBulgaria
  2. 2.Polish Academy of Sciences Warsaw School of Information TechnologySystems Research InstituteWarsawPoland

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