Interval Type-2 Fuzzy Logic Systems for Evaluating Students’ Academic Performance

  • Ibahim A. HameedEmail author
  • Mohanad Elhoushy
  • Ottar L. Osen
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 739)


Assessment method sends messages to students to define and priorities what is important to learn and ultimately how they spend their time leaning it. Traditional grading methods are largely based on human judgments, which tend to be subjective. In addition, it is based on sharp criteria instead of fuzzy criteria and suffers from erroneous scores assigned by indifferent or inexperienced examiners, which represent a rich source of uncertainties, which might impair the credibility of the system. In an attempt to reduce uncertainties and provide more objective, reliable, and precise grading, a sophisticated assessment approach based on type-2 fuzzy set theory is developed. In this paper, interval type-2 (IT2) fuzzy sets, which are a special case of the general T2 fuzzy sets, are used. The transparency and capabilities of type-2 fuzzy sets in handling uncertainties is expected to provide an evaluation system able to justify and raise the quality and consistency of assessment judgments. A simplified implementation of interval type-2 fuzzy system using the basic knowledge of type-1 fuzzy is presented. A comparison between the use of type-1, interval type-2 fuzzy systems and the simplified IT2 fuzzy systems in reducing uncertainties and providing more transparent and fair assessment that can reflect needs of individual students and foster development is presented.


Interval Type-2 Fuzzy Sets (IT2FSs) Footprint-of-Uncertainty (FOU) Fuzzy grading system Intelligent evaluation Learning achievement Transparent assessment 



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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Ibahim A. Hameed
    • 1
    • 2
    Email author
  • Mohanad Elhoushy
    • 2
  • Ottar L. Osen
    • 1
  1. 1.Faculty of Engineering and Natural Sciences, Department of Automation Engineering (AIR)Norwegian University of Science and Technology (NTNU)ÅlesundNorway
  2. 2.Faculty of Electronic Engineering, Department of Industrial Electronics and Control EngineeringMenofia UniversityMenoufEgypt

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