DocumentCode :
1652048
Title :
Inducing rules considering inclusion relations between conclusions
Author :
Inuiguchi, Masahiro ; Kusunoki, Yoshifumi ; Inoue, Masanori
Author_Institution :
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
In rough set literatures, methods for inducing minimal rules from a given decision table have been proposed. When the decision attribute is ordinal, inducing rules about upward and downward unions of decision classes is advantageous in the simplicity of obtained rules. However, because of independent applications of the rule induction method, inclusion relations among upward/downward unions in conclusion parts are not inherited to the condition parts of obtained rules. This non-inheritance may debase the quality of obtained rules. To ensure that inclusion relations among conclusions are inherited to conditions, we have proposed rule induction approaches. In this paper, the performances of the proposed approaches considering the inclusion relations between conclusions are further examined by numerical experiments.
Keywords :
decision tables; knowledge based systems; learning by example; relational algebra; rough set theory; conclusion; decision class; decision table; inclusion relation; minimal rule; rough set literature; Accuracy; Approximation algorithms; Approximation methods; Educational institutions; Set theory; Switches; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Industrial Engineering (CIE), 2010 40th International Conference on
Conference_Location :
Awaji
Print_ISBN :
978-1-4244-7295-6
Type :
conf
DOI :
10.1109/ICCIE.2010.5668272
Filename :
5668272
Link To Document :
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