Fuzzy cognitive map for student evaluation model

Márta Takács, Imre J. Rudas, Zoltán Lantos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the paper a novel Fuzzy Cognitive Map based algorithm was introduced for the calculation of the values of the interrelation levels between the factors in a system for the student grade evaluation. Furthermore using the calculated edge weights between the factors, and differences of the stored and filtered dates for students from the Neptun education IT system, a learning algorithm was presented, with the learning cycles and states related for successive known semesters. Continuing the learning process, we can predict, make the forecast for the factors and states for the forthcoming semesters, with the unknown factor values.

Original languageEnglish
Title of host publicationConference Proceedings - 2014 International Conference on System Science and Engineering, ICSSE 2014
PublisherIEEE Computer Society
Pages284-287
Number of pages4
ISBN (Print)9781479943678
DOIs
Publication statusPublished - Jan 1 2014
Event2014 International Conference on System Science and Engineering, ICSSE 2014 - Shanghai, China
Duration: Jul 11 2014Jul 13 2014

Publication series

NameConference Proceedings - 2014 International Conference on System Science and Engineering, ICSSE 2014

Other

Other2014 International Conference on System Science and Engineering, ICSSE 2014
CountryChina
CityShanghai
Period7/11/147/13/14

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Fuzzy cognitive map for student evaluation model'. Together they form a unique fingerprint.

  • Cite this

    Takács, M., Rudas, I. J., & Lantos, Z. (2014). Fuzzy cognitive map for student evaluation model. In Conference Proceedings - 2014 International Conference on System Science and Engineering, ICSSE 2014 (pp. 284-287). [6887950] (Conference Proceedings - 2014 International Conference on System Science and Engineering, ICSSE 2014). IEEE Computer Society. https://doi.org/10.1109/ICSSE.2014.6887950