Paper Info
Title
An Extension of Fuzzy Deformable Prototypes for predicting student performance on Web-based Tutoring Systems
Abstract
This paper presents an extension of Fuzzy Deformable Prototypes (FDPs) based on the use of interval type-2 fuzzy sets. The aim is to improve FDPs' capabilities for managing uncertainty and imprecision. This extension is applied to predict the academic performance of the students who make use of Web-based tutoring systems. The prediction model contains patterns of behavior that are used to determine the future academic performance of new students based on their affinity with the prototypes previously discovered. Interval Type 2 Fuzzy Sets (IT2FS) were used to handle the imprecision of the academic data caused by the overlapping between the fuzzy representations of prototypes.
Year
Venue
Keywords
2015
PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY
Fuzzy Deformable Prototypes,Interval Type 2 Fuzzy Sets,Web-based Tutoring Systems
Field
DocType
Volume
Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Web application,Machine learning
Conference
89
ISSN
Citations 
PageRank 
1951-6851
2
0.38
References 
Authors
4
5
Name
Order
Citations
PageRank
M. Rosario Vazquez120.38
Francisco P. Romero223527.46
Jorge A. Ruiz-Vanoye32616.00
José Angel Olivas46512.87
Jesús Serrano-Guerrero5599.31