DocumentCode
1631854
Title
Robust function approximation based on fuzzy sets and rough sets
Author
Hsiao, Chih-Ching
Author_Institution
Electr. Eng. Dept., Kao Yuan Univ., Kaohsiung, Taiwan
fYear
2009
Firstpage
1250
Lastpage
1254
Abstract
The rough set theory is successes to deal with imprecise, incomplete or uncertain for information system. Fuzzy set and the rough set theories turned out to be particularly adequate for the analysis of various types of data, especially, when dealing with inexact, uncertain or vague knowledge. In this paper, we propose an novel algorithm, which termed as rough-fuzzy c-regression model (RFCRM), that define fuzzy subspaces in a fuzzy regression manner and also include rough-set theory for TSK modeling with robust capability against outliers.
Keywords
function approximation; fuzzy set theory; regression analysis; rough set theory; TSK modeling; fuzzy set theory; robust function approximation; rough set theory; rough-fuzzy c-regression model; Clustering algorithms; Degradation; Function approximation; Fuzzy sets; Least squares approximation; Robustness; Rough sets; Set theory; Training data; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location
Jeju Island
ISSN
1098-7584
Print_ISBN
978-1-4244-3596-8
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2009.5277427
Filename
5277427
Link To Document