Title
Interval Type-2 Fuzzy Logic Systems for Evaluating Students' Academic Performance.
Abstract
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.
Year
DOI
Venue
2016
10.1007/978-3-319-63184-4_22
Communications in Computer and Information Science
Keywords
Field
DocType
Interval Type-2 Fuzzy Sets (IT2FSs),Footprint-of-Uncertainty (FOU),Fuzzy grading system,Intelligent evaluation,Learning achievement,Transparent assessment
Fuzzy logic system,Transparency (graphic),Grading (education),Credibility,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Machine learning,Special case
Conference
Volume
ISSN
Citations 
739
1865-0929
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
I. A. Hameed1299.45
Mohanad Elhoushy220.72
Ottar L. Osen3178.63