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

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WICOM.2009.5303308

Filename

5303308