Chapter

Applied Information Science, Engineering and Technology

Volume 7 of the series Topics in Intelligent Engineering and Informatics pp 19-28

Date:

Prediction of the Network Administration Course Results Based on Fuzzy Inference

  • Zsolt Csaba JohanyákAffiliated withKecskemét College, Department of Information Technologies
  • , Szilveszter KovácsAffiliated withUniversity of Miskolc, Department of Information Technologies Email author 

* Final gross prices may vary according to local VAT.

Get Access

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.