DocumentCode
559898
Title
Simple Knowledge Reduction Approach Based on Direct Definitions and Discernibility Matrix
Author
Liu, Bailin ; Chen, Xi ; Zou, Huiyun
Author_Institution
Sch. of Comput. Sci. & Eng., Xi´´an Technol. Univ., Xi´´an, China
Volume
2
fYear
2011
fDate
24-25 Sept. 2011
Firstpage
23
Lastpage
25
Abstract
Reduction and core are two of the most important concepts in rough set theory. Two kinds of knowledge reduction methods are introduced based on the direct definitions and the discernibility matrix in this paper. A new knowledge reduction approach was proposed which combines the two aforementioned methods. The two steps of new method are: Firstly knowledge was classified and reduced with the indiscernibility relation, then core be calculated reusing distinction function. The experimental results show that the new method can simplify the calculation, and can reduce the computational complexity of the method.
Keywords
knowledge engineering; matrix algebra; rough set theory; computational complexity reduction; direct definitions; discernibility matrix; distinction function; indiscernibility relation; knowledge reduction methods; rough set theory; Approximation methods; Complexity theory; Computers; Educational institutions; Information systems; Knowledge based systems; Set theory; Core; Discernibility function; Discernibility matrix; Reduction; Rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4577-1419-1
Type
conf
DOI
10.1109/ICM.2011.33
Filename
6113458
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