Title :
A Rough Set Based Decision Analysis of Students´ Score Database
Author :
Yiwen Zhuang ; Runcai Huang ; Qiying Cao
Author_Institution :
Coll. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
Abstract :
Knowledge based on rough set can be utilized to ease the way for categorization on the basis of original data. The paper introduces the rough set theory and its principle algorithms. A Rough Set Toolbox is programmed to analyze the data from the score database of a self-learning system. The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduction, core set, and dependency are analyzed based on the score table. Thus, the relations between condition attributes and decision attributes of the score database are presented.
Keywords :
decision tables; educational administrative data processing; rough set theory; decision table; rough set based decision analysis; rough set theory; rough set toolbox; self-learning system; student score database; Algorithm design and analysis; Computer languages; Computer science; Data analysis; Databases; Decision making; Educational institutions; MATLAB; Set theory;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5303308
