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
Link To Document :
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