Record number :
Title of article :
Rule extraction based on granulation order in interval-valued fuzzy information system
Author/Authors :
Cheng، نويسنده , , Xiao-Yi and Miao، نويسنده , , Duoqian، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
From page :
To page :
Abstract :
Methods of fuzzy rule extraction based on rough set theory are rarely reported in incomplete interval-valued fuzzy information systems. This paper deals with such systems. Instead of obtaining rules by attribute reduction, which may have a negative effect on inducting good rules, the objective of this paper is to extract rules without computing attribute reducts. The data completeness of missing attribute values is first presented. Two different approximation methods are then defined. Two algorithms based on the two approximation methods, called MRBFA and MRBBA are proposed for rule extraction. The two algorithms are evaluated by a housing database from UCI. The experimental results show that MRBFA and MRBBA achieve better classification performances than the method based on attribute reduction.
Keywords :
Granulation order , Interval-valued rough fuzzy sets , Interval-valued fuzzy information system , Rule extraction
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications
Serial Year :
Link To Document :