DocumentCode
2342194
Title
New definition of dependency in fuzzy rough feature selection
Author
Liu, Chao ; Cao, Qinghua ; Zheng, Ge
Author_Institution
Sch. of Comput. Sci. & Eng., BeiHang Univ., Beijing, China
Volume
2
fYear
2011
fDate
22-23 Oct. 2011
Firstpage
271
Lastpage
274
Abstract
The dependency function proposed in the rough set model and fuzzy rough set model is widely employed in feature evaluation and attribute reduction. It is shown that the relations between fuzzy memberships haven´t used in the function. We introduce the concept of fuzzy similarity measure and propose a new model in evaluating feature dependency. The properties of the model were discussed. Experimental results show that the model is feasible and effective.
Keywords
fuzzy set theory; rough set theory; attribute reduction; feature dependency; feature evaluation; fuzzy memberships; fuzzy rough feature selection; fuzzy rough set model; fuzzy similarity measure; Artificial neural networks; Biological system modeling; Classification algorithms; Databases; Support vector machines; feature selection; fuzzy rough set; fuzzy similarity measure; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location
Guiyang
Print_ISBN
978-1-4577-0247-1
Type
conf
DOI
10.1109/ICSSEM.2011.6081295
Filename
6081295
Link To Document