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Applied Information Science, Engineering and Technology pp 19–28Cite as

Prediction of the Network Administration Course Results Based on Fuzzy Inference

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Part of the Topics in Intelligent Engineering and Informatics book series (TIEI,volume 7)

Abstract

The prediction of the number of students who will pass or fail the exams in the case of a subject can be very useful information for resource allocation planning purposes. In this chapter, we report on the development of a fuzzy model, that based on the previous performance of currently enrolled students, gives a prediction for the number of students who will fail the exams of the Network Administration course at the end of the autumn semester. These students will usually re-enroll for the course in the spring semester and, conforming to previous experience, will constitute the major part of the enrolling students. The fuzzy model uses a low number of rules and applies a fuzzy rule interpolation based technique (Least Squares based Fuzzy Rule Interpolation) for inference.

Keywords

  • Administration Courses
  • Network Administration (NA)
  • Fuzzy Rule Interpolation (FRI)
  • Autumn Semester
  • Initial Fuzzy System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgments

This research was supported by the National Scientific Research Fund Grant OKTA K77809. The described work was carried out as part of the TÁMOP-4.2.2/B-10/1-2010-0008 project in the framework of the New Hungarian Development Plan. The realization of this project is supported by the European Union, co-financed by the European Social Fund.

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Authors and Affiliations

  1. Kecskemét College, Department of Information Technologies, Izsáki út 10, Kecskemét, 6000, Hungary

    Zsolt Csaba Johanyák

  2. University of Miskolc, Department of Information Technologies, Miskolc-Egyetemváros, 3515, Hungary

    Szilveszter Kovács

Authors
  1. Zsolt Csaba Johanyák
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  2. Szilveszter Kovács
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Correspondence to Szilveszter Kovács .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering and Informatics, University of Miskolc, Miskolc-Egyetemváros, Hungary

    Gabriella Bognár

  2. Faculty of Mechanical Engineering and Informatics, University of Miskolc, Miskolc-Egyetemváros, Hungary

    Tibor Tóth

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Johanyák, Z.C., Kovács, S. (2014). Prediction of the Network Administration Course Results Based on Fuzzy Inference. In: Bognár, G., Tóth, T. (eds) Applied Information Science, Engineering and Technology. Topics in Intelligent Engineering and Informatics, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-01919-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-01919-2_2

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