DocumentCode
553048
Title
Study of algorithm for rule extraction based on rough set theory
Author
XianWen Luo
Author_Institution
Inf. Manage. Dept., Southwest Univ., Chongqing, China
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
343
Lastpage
346
Abstract
The main idea of rough set theory is to extract decision rules by attribute reduction and value reduction in the premises of keeping the ability of classification. In this paper, an algorithm on value reduction and for extracting decision rule based on the membership function is proposed. All the decision rules on decision table and the minimal rule set of reduced conditional attribute set without core-valued table would be attained by this algorithm.
Keywords
decision making; rough set theory; attribute reduction; conditional attribute set; core valued table; decision rule extraction algorithm; decision table; membership function; minimal rule set; rough set theory; value reduction; Algorithm design and analysis; Classification algorithms; Decision making; Knowledge representation; Set theory; Solar energy; Volcanic activity; membership function; rough set; rule extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019567
Filename
6019567
Link To Document