@INPROCEEDINGS { Rsds4862,
author = {Arabi, Nasrin D.A. and Yahia, Moawia Elfaki}, 
title = {Rough Set Analysis for Sudan School Certificate}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 5589, 
pages = {626--633}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
month = {July}, 
year = 2009, 
editor = {Wen, Peng and Li, Yuefeng and Polkowski, Lech and Yao, Yiyu and Tsumoto, Shusaku and Wang, Guoying}, 
url = {http://www.springerlink.com/content/q0857121u072/?p=fc4581dabf904891bbe1f9cc3f4fdd0d&pi=313}, 
issn = {0302-9743}, 
isbn = {978-3-642-02961-5}, 
abstract = {This paper has applied the decision analysis of the rough set theory to see the affect of each factor in the result of the Sudan School Certificate Examination. Through the analysis, we have compared between the percentage of success in male and female, and we have tried to answer which type of schools has the biggest number of examined students and which state in Sudan has the highest concentration of examined students. To answer these questions and to achieve good results, the paper has applied the concepts of reduction and rule generation.}, 
keywords = {rough sets, decision analysis, attribute reduction, rule generation, school certificate, }, 
}