Title : ( Fuzzy cost support vector regression on the fuzzy samples )
Authors: Abedin Vahedian Mazloum , mehri sadooghi yazdi , Sohrab Effati , Hadi Sadoghi Yazdi ,
Full TextAbstract
This paper presents a new version of support vector regression (SVR) named Fuzzy Cost SVR (FCSVR) with a unique property of operating on fuzzy data where fuzzy cost (fuzzy margin and fuzzy penalty) are maximized. This idea admits to have uncertainty in the penalty and margin terms jointly. Robustness against noise is shown to be superior in the experimental results as a property compared with conventional SVR.
Keywords
Fuzzy samples · Support vector regression Fuzzy input · Fuzzy cost
@article{paperid:1016208,
author = {Vahedian Mazloum, Abedin and Sadooghi Yazdi, Mehri and Effati, Sohrab and Sadoghi Yazdi, Hadi},
title = {Fuzzy cost support vector regression on the fuzzy samples},
journal = {Applied Intelligence},
year = {2011},
volume = {35},
number = {3},
month = {December},
issn = {0924-669X},
pages = {428--435},
numpages = {7},
keywords = {Fuzzy samples · Support vector regression
Fuzzy input · Fuzzy cost},
}
%0 Journal Article
%T Fuzzy cost support vector regression on the fuzzy samples
%A Vahedian Mazloum, Abedin
%A Sadooghi Yazdi, Mehri
%A Effati, Sohrab
%A Sadoghi Yazdi, Hadi
%J Applied Intelligence
%@ 0924-669X
%D 2011
