Paper Info
Title
An Interval Type-2 Fuzzy Logic System for Assessment of Students' Answer Scripts under High Levels of Uncertainty.
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.
Year
DOI
Venue
2016
10.5220/0005765200400048
CSEDU
Keywords
Field
DocType
Students' Evaluation, Uncertainty, Interval Type-2 (IT2) Fuzzy Sets, Type Reduction, Footprint of Uncertainty (FOU)
Defuzzification,Credibility,Computer science,Fuzzy set operations,Fuzzy logic,Fuzzy set,Artificial intelligence,Type-2 fuzzy sets and systems,Membership function,Special case
Conference
Citations 
PageRank 
References 
2
0.38
0
Authors
4
Name
Order
Citations
PageRank
I. A. Hameed1299.45
Mohanad Elhoushy220.72
Belal A. Zalam320.38
Ottar L. Osen4178.63