DOI : https://doi.org/10.18517/ijaseit.7.6.2161

A Comparative Analysis of Rough Sets for Incomplete Information System in Student Dataset

Rd Rohmat Saedudin (1), Shahreen Kasim (2), Hairulnizan Mahdin (3), Iwan Tri Riyadi Yanto (4)
(1) School of Industrial Engineering, Telkom University, 40257 Bandung, West Java, Indonesia
(2) Universiti Tun Hussein Onn Malaysia
(3) Universiti Tun Hussein Onn Malaysia
(4) Department of Information Systems, Universitas Ahmad Dahlan, 55161 Yogyakarta, Indonesia
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How to cite (IJASEIT) :
Saedudin, Rd Rohmat, et al. “A Comparative Analysis of Rough Sets for Incomplete Information System in Student Dataset”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 6, Dec. 2017, pp. 2078-84, doi:10.18517/ijaseit.7.6.2161.
Citation Format :
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowledge that has been successfully used to handle incomplete information system. Since we know that in fact, in the real-world problems, it is regular to find conditions where the user is not able to provide all the necessary preference values. In this paper, we compare the performance accuracy of the extension of rough set theory, i.e. Tolerance Relation, Limited Tolerance Relation, Non-Symmetric Similarity Relation and New Limited Tolerance Relation of Rough Sets for handling incomplete information system in real-world student dataset. Based on the results, it is shown that New Limited Tolerance Relation of Rough Sets has outperformed the previous techniques. 
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