Authors:
Ibrahim A. Hameed
1
;
Mohanad Elhoushy
2
;
Belal A. Zalam
2
and
Ottar L. Osen
1
Affiliations:
1
Faculty of Engineering and Natural Sciences and Norwegian University of Science and Technology (NTNU), Norway
;
2
Faculty of Electronic Engineering and Menofia University, Egypt
Keyword(s):
Students’ Evaluation, Uncertainty, Interval Type-2 (IT2) Fuzzy Sets, Type Reduction, Footprint of Uncertainty (FOU).
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Domain Applications and Case Studies
;
Information Technologies Supporting Learning
;
Intelligent Learning and Teaching Systems
;
Learning/Teaching Methodologies and Assessment
;
Smart Devices as Collaborative Learning Tools
;
Ubiquitous Learning
Abstract:
The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education and learning. 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.