Unveiling Hidden Dependencies with Rough Sets Methods
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2015 by IJCTT Journal|
|Year of Publication : 2015|
|Authors : Sylvia Encheva|
|DOI : 10.14445/22312803/IJCTT-V24P108|
Sylvia Encheva "Unveiling Hidden Dependencies with Rough Sets Methods". International Journal of Computer Trends and Technology (IJCTT) V24(1):41-44, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Many researchers consider various ways for early detection of students who are likely to experience serious difficulties in their studies. Some of them focus anxiety related problems connected with exam and general performance, while other concentrate on particular subjects’ associated ones. Mathematical subjects appear to be among the ones causing problems for engineering students. Some of these problems are related to thinking logically, communicating mathematical arguments and conclusions, understanding abstract concepts as well as overcoming technical difficulties encountered when studying new topics. In this work we apply methods from rough sets theory for drawing conclusions from inconsistent datasets obtained from students’ tests results. Decision rules are visually represented with flow graphs.
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Decision making, rough sets, inconsistent data, learning.