UTHM Institutional Repository

Applying variable precision rough set model for clustering student suffering study's anxiety

Yanto, Iwan Tri Riyadi and Vitasari, Prima and Herawan, Tutut and Mat Deris, Mustafa (2012) Applying variable precision rough set model for clustering student suffering study's anxiety. Expert Systems with Applications: An International Journal, 39 (1). pp. 452-459. ISSN 0957-4174

Full text not available from this repository.

Abstract

Computational models of the artificial intelligence such as rough set theory have several applications. Data clustering under rough set theory can be considered as a technique for medical decision making. One possible application is the clustering of student suffering study's anxiety. In this paper, we present the applicability of variable precision rough set model for clustering student suffering studies anxiety. The proposed technique is based on the mean of accuracy of approximation using variable precision of attributes. The datasets are taken from a survey aimed to identify of studies anxiety sources among students at Universiti Malaysia Pahang (UMP). At this stage of the research, we show how variable precision rough set model can be used to groups student in each study's anxiety. The results may potentially contribute to give a recommendation how to design intervention, to conduct a treatment in order to reduce anxiety and further to improve student's academic performance.

Item Type: Article
Uncontrolled Keywords: anxiety; clustering; rough set theory; variable precision rough set model
Subjects: Q Science > QA Mathematics > QA75 Calculating machines > QA75.5 Electronic computers. Computer science
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 12 Apr 2013 07:57
Last Modified: 12 Apr 2013 07:57
URI: http://eprints.uthm.edu.my/id/eprint/3580
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item