Title : ( Fuzzy Cost Support Vector Regression )
Authors: Hadi Sadoghi Yazdi , Tahereh Royani , Mehri Sadoghi Yazdi , Sohrab Effati ,
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Abstract
Abstract—In this paper, a new version of support vector regression (SVR) is presented namely Fuzzy Cost SVR (FCSVR). Individual property of the FCSVR is operation over fuzzy data whereas 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 in the experimental results as a property of the proposed method and superiority relative conventional SVR.
Keywords
Support vector regression; Fuzzy input; Fuzzy cost.
@article{paperid:1010165,
author = {Sadoghi Yazdi, Hadi and Tahereh Royani and Mehri Sadoghi Yazdi and Effati, Sohrab},
title = {Fuzzy Cost Support Vector Regression},
journal = {International Journal of Intelligent Systems and Technologies},
year = {2008},
volume = {4},
month = {April},
issn = {2070-3899},
pages = {238--243},
numpages = {5},
keywords = {Support vector regression; Fuzzy input; Fuzzy cost.},
}
%0 Journal Article
%T Fuzzy Cost Support Vector Regression
%A Sadoghi Yazdi, Hadi
%A Tahereh Royani
%A Mehri Sadoghi Yazdi
%A Effati, Sohrab
%J International Journal of Intelligent Systems and Technologies
%@ 2070-3899
%D 2008
